Reading time: 26 min
Updated: July 2025
Level: Beginner-Friendly
Enterprise AI Company Profile

Writer

The Enterprise AI Platform That Keeps Your Brand Voice Consistent

Writer is the leading enterprise AI platform that helps Fortune 500 companies create accurate, on-brand content at scale. Unlike generic AI tools, Writer uses custom AI models trained on your company's own style, knowledge, and rules — giving enterprise teams the speed of AI with the accuracy and consistency of a dedicated expert.

Visit Writer Wikipedia Wikipedia Meet the Founders
0M+Total Funding
2020Year Founded
0+Enterprise Clients
0+Languages
About Writer

What Is Writer?

Imagine your company has a team of 500 people across marketing, sales, customer support, finance, and legal. Every day, these people need to write hundreds of pieces of content — emails, reports, product descriptions, social media posts, support tickets, proposals, and more. They all need to sound consistent, professional, and accurate. They all need to use your brand's specific vocabulary, follow your style guidelines, and avoid mistakes that could cause compliance problems or damage your reputation.

Now imagine an AI platform that knows all of your company's rules, your brand voice, your terminology, your approved messaging, and your content policies — and can help every single one of those 500 employees write better, faster, and more consistently, while keeping them from making the kind of errors that cause expensive problems. That is what Writer does.

Simple Analogy: Think of general AI tools like ChatGPT as a very smart but brand-new employee who has never heard of your company, does not know your style rules, and might accidentally say something that contradicts your official messaging. Think of Writer as an AI expert who has been trained specifically on your company's brand, style, knowledge, and rules — and can help your entire team write consistently and correctly.

Writer is an American enterprise AI company founded in 2020 by May Habib (CEO) and Waseem AlShikh (CTO). The company is headquartered in San Francisco and builds what it calls a "full-stack enterprise AI platform" — meaning it provides everything a large company needs to deploy AI for content and knowledge work, all in one place. This includes custom-built language models, AI agents that can complete complex multi-step tasks, a knowledge graph that keeps the AI accurate with your company's current information, and tools for teams to collaborate on AI-generated content.

What truly separates Writer from the crowded field of AI writing tools is its uncompromising focus on the enterprise market. Most AI writing tools were built for individual creators, freelancers, or small teams — they are optimised for speed and convenience, not for the security, compliance, accuracy, and brand consistency requirements that large enterprises demand. Writer was built from day one specifically for Fortune 500 companies, with enterprise-grade security, SOC 2 Type II compliance, custom model training on proprietary company data, and the kind of IT and procurement compatibility that large organisations require before adopting any new software platform.

The company's approach to AI is also distinctive. Rather than using generic, off-the-shelf large language models (the same AI models that power consumer chatbots), Writer builds and fine-tunes its own AI models — called Palmyra — specifically optimised for business writing tasks. These models can be further customised for each individual enterprise customer using their own proprietary data, creating an AI that truly understands the specific vocabulary, domain knowledge, and communication style of each client organisation.

Who Uses Writer: Major financial institutions, healthcare systems, technology companies, media organisations, and consumer brands use Writer to power their content operations. Clients include companies across highly regulated industries where accuracy and compliance are non-negotiable — demonstrating that Writer has achieved the enterprise trust bar that is the highest hurdle for any AI company selling to large organisations.

Writer's AI goes beyond simple text generation. Its platform includes AI agents — autonomous AI systems that can complete entire workflows without human intervention at every step — and a Knowledge Graph that connects the AI to your organisation's current, accurate information, preventing the "hallucinations" (making things up) that have been the biggest concern about using AI for business-critical content. For enterprise teams, this combination of speed, accuracy, brand consistency, and security makes Writer a fundamentally different proposition from any consumer or SMB-focused AI tool.

At a Glance

Writer — Quick Facts

Everything you need to know about Writer in one clear, easy-to-read overview.

Founded
2020
Founders
May Habib (CEO) & Waseem AlShikh (CTO)
Headquarters
San Francisco, California, USA
Industry
Enterprise AI / Generative AI / AI Writing
Company Type
Private (Series C Funded)
Official Website
writer.com
Total Funding
$200M+ (as of 2024)
Enterprise Focus
Fortune 500 & Large Enterprises
AI Models
Palmyra LLM Family (Custom Enterprise)
Wikipedia
Wikipedia
Writer on Wikipedia
Security
SOC 2 Type II, HIPAA, Enterprise Compliant
Status
Active & Rapidly Growing
The People Behind Writer

Co-Founders

Writer was built by two founders with complementary expertise — business vision and deep technical engineering — creating a company that excels at both enterprise strategy and AI technology.

May Habib, Co-Founder and CEO of Writer
Official Profile AI Files Artificial Intelligence Files

May Habib

Co-Founder & CEO, Writer

May Habib is the Co-Founder and Chief Executive Officer of Writer, and one of the most compelling voices in enterprise AI today. She is Lebanese-Canadian by background, and her journey to founding one of the leading enterprise AI companies in the world is a story of entrepreneurial courage, deep business expertise, and a clear-eyed view of what large organisations actually need from AI technology — as opposed to what the AI industry often assumes they need.

Before founding Writer, May built a distinguished career in financial technology and business strategy. She co-founded Cecelia Health, a health technology company, and before that worked in senior roles at financial services companies. This background in regulated industries — finance and healthcare — gave her a visceral understanding of the compliance, accuracy, and security requirements that large enterprises cannot compromise on. She knew from direct experience that the AI tools being built for consumers and small businesses would not meet the bar that banks, healthcare systems, and Fortune 500 companies needed.

May founded Writer on the conviction that enterprise companies deserved AI that was built specifically for them — AI that understood their brand, respected their compliance requirements, kept their data private, and produced content accurate enough to be trusted in high-stakes communications. She has spoken extensively about the difference between AI that is impressive in a demo versus AI that is reliable enough for business-critical work, and Writer's entire product philosophy reflects this distinction.

Under her leadership, Writer has grown from a startup into a company with hundreds of enterprise clients including major Fortune 500 companies. May is known for her clear communicative style — making complex AI concepts understandable to business leaders who need to make real decisions about AI adoption — and for her ability to navigate the enterprise sales processes, procurement requirements, and change management challenges that determine whether AI actually gets adopted at scale inside large organisations.

BackgroundFinTech, health tech, financial services
VisionEnterprise AI that meets Fortune 500 standards
HeritageLebanese-Canadian entrepreneur in Silicon Valley
AchievementLed Writer to 200M+ funding, Fortune 500 clients
Waseem AlShikh, Co-Founder and CTO of Writer
Official Profile AI Files Artificial Intelligence Files

Waseem AlShikh

Co-Founder & CTO, Writer

Waseem AlShikh is the Co-Founder and Chief Technology Officer of Writer, responsible for building and leading all of the AI technology that powers the platform. His background is deeply technical — combining expertise in machine learning, large language models, and enterprise software engineering — and it is his work that turns May Habib's enterprise vision into actual technology that works reliably for demanding corporate clients.

Waseem has a strong background in AI and machine learning engineering, with experience building production AI systems at significant scale. Before Writer, he worked in senior engineering roles and developed deep expertise in how to make AI systems not just impressive in research settings but actually reliable, efficient, and scalable in real-world production environments — a crucial difference for enterprise customers who need AI to work dependably every day, not just occasionally.

At Writer, Waseem led the development of the Palmyra family of large language models — custom AI models built specifically for enterprise writing tasks. Rather than relying on third-party AI models from OpenAI or Google, Writer built its own foundation models optimised specifically for business writing: more accurate in professional contexts, better at following company-specific style rules, and more controllable in ways that matter for enterprise compliance. This decision to build proprietary models rather than depend on external providers was a bold technical bet that has become one of Writer's strongest competitive differentiators.

Waseem also led the development of Writer's Knowledge Graph technology — a system that connects the AI to your organisation's current, verified information in real time, dramatically reducing the AI hallucinations (making up false information) that have been the biggest concern about using AI for business-critical content. His focus on making AI reliable and accurate, rather than just impressive, reflects the enterprise-first philosophy that defines everything Writer builds.

ExpertiseML engineering, LLMs, enterprise AI systems
Key BuildPalmyra LLM family, Knowledge Graph tech
FocusReliable, enterprise-grade AI production systems
AchievementBuilt proprietary LLMs competing with Big Tech
Company History

Writer's Journey

From a focused enterprise writing tool to a full-stack AI platform for the Fortune 500 — here is Writer's growth story.

2020
Company Founded
May Habib and Waseem AlShikh co-found Writer in San Francisco with a clear focus from day one: build an AI writing platform specifically for enterprise teams, not the general consumer market. The founding insight — that large companies have fundamentally different needs from individual users — guides every product decision. Initial product focuses on brand voice consistency and style guide enforcement across large writing teams, solving a real pain point that existing writing tools had not addressed for enterprise customers.
2021
Series A & First Enterprise Clients
Writer raises Series A funding and signs its first major enterprise customers — large organisations across financial services, technology, and media that are specifically attracted to Writer's enterprise-first positioning. The company begins demonstrating that there is a clear market distinction between enterprise AI writing needs and consumer AI writing tools. Early customer success stories validate the business model and fund further product development toward a more comprehensive AI platform.
2022
Palmyra LLM Development
Writer begins the ambitious project of building its own large language models — the Palmyra family — rather than relying on external AI providers. This is a significant technical bet: instead of using OpenAI's GPT models, Writer invests in developing proprietary AI models optimised specifically for enterprise writing tasks. The decision gives Writer full control over its AI, allowing deeper customisation, better data privacy, and model behaviour tuned for professional business writing rather than general conversation. Palmyra becomes a fundamental competitive differentiator.
2023
Series B — $100M & AI Platform Expansion
Writer raises a $100 million Series B funding round, one of the largest rounds raised specifically for enterprise AI writing. This funding enables the company to dramatically expand its platform — moving beyond writing assistance to a comprehensive enterprise AI platform including AI agents, a Knowledge Graph for accuracy, enterprise integrations, and a complete API for developers. The company expands into new industries including healthcare, finance, and legal, where accuracy and compliance requirements are most demanding.
2024
AI Agents & Knowledge Graph
Writer launches its most significant product expansion: AI Agents — autonomous AI workers that can complete entire workflows, not just individual writing tasks — and Knowledge Graph technology that connects the AI to verified, current company information to eliminate hallucinations. These launches signal a major evolution from "AI writing assistant" to "full AI business platform." Enterprise clients begin deploying Writer not just for content creation but for broader business process automation involving knowledge, research, and communication tasks.
2024
Series C & Continued Growth
Writer raises additional funding in its Series C, pushing total raised to over $200 million. The company expands its enterprise client roster significantly, adding Fortune 500 companies across industries. International expansion accelerates with support for 11+ languages and enterprise deployments across multiple countries. Writer cements its position as the leading independent enterprise AI platform — differentiated from both general AI providers (OpenAI, Google) and SMB-focused tools (Jasper, Copy.ai) by its enterprise-only focus and custom LLM capabilities.
Products & Services

What Writer Offers

A complete enterprise AI platform — from AI writing assistance to full business process automation. Here is every major product explained simply.

AI Writing Assistant

Writer's core product — an AI assistant built specifically for professional business writing. Unlike consumer AI tools that produce generic content, Writer's AI assistant knows your company's brand voice, style guidelines, terminology, and communication rules. A marketing manager can ask it to write a press release, and the result will automatically follow your company's style guide, use approved messaging, avoid restricted vocabulary, and match the tone your brand requires — all without needing to manually check every line. The assistant integrates directly into the tools your team already uses: Microsoft Word, Google Docs, Salesforce, Slack, and many more.

Enterprise AI Platform

Writer's full-stack enterprise platform is more than a writing tool — it is a complete AI operating environment for large organisations. It includes user management for entire organisations (controlling who can use what AI features), team workspaces for collaboration on AI-generated content, administrative controls for IT teams to manage AI deployment, detailed audit logs for compliance purposes, and integrations with enterprise software systems. The platform is designed to be deployed organisation-wide, with the centralised governance controls that IT, legal, and compliance teams require before approving any new software at the enterprise level.

Writer Studio

Writer Studio is the primary workspace where teams create and edit AI-generated content together. Think of it as a collaborative document editor where AI is a genuine team member rather than just a sidebar feature. Teams can create content workflows — for example, the AI drafts a blog post based on a brief, a senior writer reviews and edits it, it goes through a compliance check using Writer's style rules, and is then approved for publication — all within a single integrated environment. Studio includes version control, commenting, approval workflows, and template management for recurring content types.

Knowledge Graph

The Knowledge Graph is one of Writer's most innovative and important features — and the solution to the biggest problem with using AI for serious business content. The problem: AI "hallucinates" — it sometimes makes up facts, statistics, or information that sounds plausible but is completely wrong. For consumer applications, this is annoying. For business-critical content, it can be catastrophic. Writer's Knowledge Graph connects the AI to your company's own verified, current information — product specifications, company policies, approved messaging, current pricing, factual data — ensuring that AI-generated content is grounded in accurate information from your own knowledge base rather than potentially incorrect training data. When the AI cites a statistic or makes a factual claim, it draws from verified sources rather than guessing.

AI Agents

Writer AI Agents are autonomous AI systems that can complete entire multi-step business workflows without needing a human to approve each individual action. For example, a competitive intelligence agent might automatically monitor competitor websites, identify significant changes, research the implications, draft an internal briefing document, and send it to the relevant team — all triggered by a single scheduled automation. A content production agent might take a brief from a product manager, research the topic using approved sources, draft the content, check it against brand guidelines, flag anything needing human review, and route it to the appropriate approver. AI Agents represent the evolution from "AI that helps you write" to "AI that completes tasks on your behalf."

Writer APIs

Writer's API allows technology teams and developers to integrate Writer's AI capabilities directly into their own applications, platforms, and workflows. A financial services company might use the API to automatically generate personalised investment report summaries for each client based on their portfolio data. A healthcare company might use it to generate patient-specific discharge instructions based on clinical notes. An e-commerce platform might use it to automatically generate product descriptions for new items added to its catalogue. The API gives enterprise technology teams access to Writer's custom Palmyra models, Knowledge Graph, and brand rules in a programmatic form — enabling AI content generation at scale as part of larger automated systems.

Custom AI Models

One of Writer's most powerful enterprise features is the ability to fine-tune AI models using your company's own proprietary data. While Writer's Palmyra models already outperform generic AI for business writing tasks, custom-trained versions can go further — learning your company's specific product terminology, your industry's specialised vocabulary, your historical writing patterns and preferences, and your company's proprietary knowledge. A pharmaceutical company might train a custom model on thousands of their approved clinical documents so it understands how to write in their specific scientific register. A law firm might train one on their approved legal briefs so it understands their specific legal writing conventions. Custom models are available on enterprise plans and represent the highest level of AI personalisation Writer offers.

Document Generation

Writer's document generation capabilities allow enterprises to automate the creation of structured, template-based documents at scale. These might include financial reports with automatically populated data, personalised customer proposals based on their specific situation and needs, regulatory filings with standardised language and required disclosures, employee communications customised by role and location, or contract drafts based on standard templates with deal-specific information inserted. Document generation combines Writer's AI language capability with your organisation's templates, approved content, and data sources to produce finished documents that would otherwise require significant manual effort to create.

Marketing Content

Marketing teams use Writer to scale their content production without scaling their headcount. Blog posts, social media content, email campaigns, landing page copy, ad creative, product descriptions, case studies, and thought leadership articles — all generated quickly with the AI following your brand's specific voice, tone, and messaging guidelines. The result is marketing content that sounds genuinely like your brand rather than generic AI output, because it has been trained on your brand's specific communication style. Marketing teams can produce five times more content while spending less time on each piece and maintaining more consistent quality across all channels.

Sales Content

Sales teams use Writer to create personalised outreach and proposal content at scale. A sales representative can quickly generate a customised email for a specific prospect, a tailored proposal that addresses a particular client's specific needs and use cases, or a competitive comparison document positioning your product against the competitor that this specific prospect is evaluating. Because Writer knows your product, your approved messaging, and your competitive positioning, the AI-generated sales content is accurate and on-brand — not just a generic template with the prospect's name inserted. Sales teams using AI-powered personalisation at scale consistently report higher response rates and conversion rates.

Customer Support AI

Customer support teams use Writer to generate accurate, helpful, on-brand responses to customer inquiries — drawing on the Knowledge Graph to ensure responses are factually correct about your products, policies, and procedures. Support agents can use AI to draft first responses to tickets, which they then review and personalise before sending — dramatically reducing the time spent on routine responses while maintaining quality and accuracy. AI-drafted responses that are verified by human agents before sending represent the most common deployment model: AI handles the drafting work, humans provide the quality assurance and personal touch.

Compliance Tools

For regulated industries like finance, healthcare, and legal, Writer's compliance tools ensure that AI-generated content meets regulatory requirements and avoids prohibited language. The system can be configured to automatically flag content that contains restricted phrases, missing required disclosures, claims that require substantiation, or language that violates industry regulations. For a financial services firm, this means the AI will automatically include required risk disclaimers, avoid making performance guarantees that regulators prohibit, and follow approved product description language. These compliance guardrails make Writer the responsible choice for enterprises in regulated industries where content errors have legal and regulatory consequences.

The Process

How Writer Works

From a simple request to a polished, approved business document — here is Writer's content workflow explained clearly.

1
User Request
Everything begins when a team member needs to create content. They might type a brief in the Writer interface: "Write a 500-word blog post about our new product feature for our developer audience, focusing on the API capabilities." Or they might click a template — for example, "New customer onboarding email" — and fill in the specific details. Writer accepts requests in natural language — meaning you write what you want the same way you would explain it to a human colleague — rather than needing to use technical commands or codes. AI Agents can also be triggered automatically by schedules, events, or data triggers without any human request.
2
AI Understanding
Writer's AI — powered by the Palmyra language model — processes the request and builds a comprehensive understanding of what is needed. This goes beyond parsing the literal words: the AI understands the intent, the implied audience, the appropriate length and format, the right tone for your brand and the specific audience, and the type of content needed. It also considers the context: is this for internal or external audiences? What channel will this be published on? What stage of the customer journey is this content for? This contextual understanding — built from your company's guidelines and the AI's training — shapes how the content will be generated.
3
Knowledge Retrieval
Before generating a single word of content, Writer's Knowledge Graph retrieves the relevant, verified information needed to make the content accurate. For a product blog post, this might include the current, accurate feature description from your product documentation, approved messaging about this feature from your marketing guidelines, relevant customer testimonials or case studies from your case study library, current pricing information, and any compliance-required disclaimers. This retrieval step is what prevents AI hallucination — the AI generates content based on verified information from your sources rather than making things up from its training data, which might be outdated or incorrect for your specific situation.
4
Content Generation
With a clear understanding of the request and verified information retrieved, the Palmyra model generates the content. The generation is guided simultaneously by: the specific request and intent, your brand's style guide and voice guidelines, your approved terminology and messaging, the retrieved factual information from the Knowledge Graph, compliance rules and restricted language lists, and format and length requirements. The result is content that is not just grammatically correct but is aligned with your brand, accurate to your company's current information, compliant with your rules, and formatted appropriately for the intended use — all produced in seconds rather than the minutes or hours a human writer would need.
5
Editing & Refinement
The generated content appears in the Writer editor, where team members can review, edit, and refine it. Writer's AI continues to help at this stage: as you type edits, it suggests alternatives, flags style inconsistencies, checks facts against the Knowledge Graph, highlights phrases that violate your brand guidelines, and offers improvements. Team members can request specific changes — "make this paragraph more concise," "add a statistic about the market size," "change the tone to be more formal" — and the AI refines the content accordingly. This collaborative editing phase ensures human judgment and expertise shape the final output, with AI handling the heavy lifting of drafting, suggesting, and checking.
6
Approval Workflow
For content that requires review before publication, Writer's built-in approval workflows route the content to the appropriate reviewers. A marketing blog post might go to the content manager for quality review, then to legal for compliance sign-off. A financial document might go to the compliance officer. A customer-facing product description might need approval from product management and the legal team. These workflows are configured by the organisation's administrators and ensure that the right people review content before it is finalised and published. The entire review process — submissions, reviewer assignments, comments, revision requests, and final approvals — is tracked within Writer for audit purposes.
7
Publishing
Once content has been approved, Writer makes it easy to publish or distribute through integrations with your existing systems. Content can be exported directly to your CMS (WordPress, Contentful, HubSpot), sent through your email marketing platform, saved to your document management system, pushed to Salesforce, or published through any of Writer's many native integrations. AI Agents can handle the publishing step automatically — routing content to the right destination as soon as it has received the required approvals. All activity is logged for audit purposes, and the published content is saved in Writer's library for future reference and reuse.
Revenue & Strategy

How Writer Makes Money

Writer's business model is built on selling enterprise AI software to large organisations — here is how the different revenue streams work.

Enterprise Subscriptions

Writer's primary revenue source is annual or multi-year enterprise subscription contracts. Large organisations pay a recurring fee for organisation-wide access to Writer's platform, which typically scales based on the number of users, the level of customisation, and the features required. Enterprise subscriptions include platform access, security and compliance features, standard integrations, customer success support, and access to Writer's standard Palmyra models. These are sold through Writer's enterprise sales team to IT leaders, marketing executives, operations leaders, and C-suite buyers at Fortune 500 companies. The subscription model creates predictable, recurring revenue and deep customer relationships.

AI Platform Licensing

For organisations that want the most customised AI experience, Writer offers AI platform licensing that includes custom model training on the client's own data. These are higher-value contracts where Writer works closely with the enterprise to fine-tune Palmyra models on their proprietary documents, approved content, and domain knowledge — creating an AI that is specifically optimised for that organisation's unique needs. Platform licensing contracts are significantly larger than standard subscriptions, reflecting the substantial value created by having an AI model trained on your specific institutional knowledge and writing patterns.

API Services

Enterprises and technology companies that want to integrate Writer's AI capabilities into their own applications use Writer's API, typically on a usage-based pricing model where they pay per API call or per amount of content generated. API customers build Writer's AI into their own products and workflows — a CRM that automatically generates personalised follow-up email drafts, a content management system that auto-generates metadata and summaries, or a proposal generation tool that populates customised client documents. API revenue scales naturally with customer usage, growing as API customers' own businesses and usage patterns grow.

AI Agents

Writer's AI Agent capabilities are typically offered as a premium addition to the core enterprise subscription or as a separate module for organisations that want to automate entire content workflows rather than just improve individual writing tasks. AI Agent deployments tend to command higher fees because they deliver much greater business value — automating complex workflows that previously required significant human labour, often producing measurable productivity gains across entire departments. As enterprise AI adoption matures and organisations become comfortable deploying autonomous AI, the Agent revenue stream is expected to grow significantly.

Professional Services

Beyond software subscriptions, Writer offers professional services to help enterprises successfully deploy and adopt the platform. These services include implementation consulting (setting up the platform, configuring brand rules, and integrating with existing systems), training workshops for enterprise teams, custom workflow design for specific departmental use cases, and ongoing customer success management. Professional services represent both a revenue stream and an investment in customer success — the better Writer is deployed and adopted, the more value customers see, the lower churn is, and the more likely customers are to expand their contracts over time.

Investment & Growth

Company Growth Story

Writer has grown rapidly in a competitive market by staying relentlessly focused on enterprise needs — here is the growth journey in numbers and milestones.

$200M+
Total Funding Raised
Across multiple rounds including a $100M Series B and subsequent funding, Writer has raised over $200M to build the leading independent enterprise AI platform.
$100M
Series B (2023)
One of the largest enterprise AI writing funding rounds at the time — led by top-tier investors recognising Writer's differentiated enterprise positioning and growing Fortune 500 customer base.
Fortune 500
Enterprise Clients
Writer serves companies across financial services, healthcare, technology, media, and retail — including major Fortune 500 organisations where enterprise security and accuracy requirements are most demanding.
Palmyra
Proprietary LLM Family
Writer built its own large language models — the Palmyra family — giving it full control over AI quality, customisation, and data privacy. A significant technical achievement for an independent AI company.
SOC 2
Type II Certified
Enterprise security certification that demonstrates Writer meets the highest standards for data security, availability, and privacy — a prerequisite for adoption by large enterprises in regulated industries.
11+
Languages Supported
Supporting over 11 languages for enterprise content generation, enabling global organisations to deploy Writer across international teams and produce content in multiple languages from a single platform.
50+
Enterprise Integrations
Writer integrates natively with over 50 enterprise tools including Salesforce, Microsoft 365, Google Workspace, Slack, HubSpot, Contentful, and more — meeting enterprise teams in the tools they already use.

What Makes Writer's Growth Distinctive: Unlike many AI companies that grew by attracting millions of individual users at low prices, Writer has grown by signing fewer, larger enterprise contracts with organisations that value depth of customisation and security over low price. This enterprise-first growth model produces higher revenue per customer, longer contract terms, and lower churn than consumer AI tools — creating a more durable and defensible business.

Real-World Applications

Industries Using Writer

Writer's enterprise AI platform serves a wide range of industries, each with unique content needs and compliance requirements.

Marketing
Marketing teams use Writer to produce blog content, social media posts, email campaigns, landing pages, ad copy, case studies, and brand campaigns at far greater scale and speed than their headcount would allow. Because Writer is trained on their brand guidelines, all content is automatically on-brand — no style guide enforcement needed after every piece. Marketing teams report producing 5-10x more content while maintaining or improving quality.
Sales
Sales teams generate personalised outreach emails, tailored proposals, competitive battlecards, product one-pagers, and account-specific follow-up content. Writer's AI understands the products, competitive positioning, and approved messaging — ensuring sales content is accurate and on-message. Reps spend less time writing and more time selling, while managers see more consistent messaging across the entire sales team.
Finance
Financial services companies use Writer for client communications, investment commentary, regulatory filings, internal reports, and compliance documentation. Writer's compliance tools automatically include required disclosures, avoid prohibited language, and flag any content that might violate financial regulations. Accuracy is paramount in finance — Writer's Knowledge Graph ensures all financial figures and claims are sourced from verified current data.
Healthcare
Healthcare organisations use Writer for patient education materials, clinical documentation summaries, internal communications, regulatory submissions, and healthcare marketing content. HIPAA compliance is built in, and the Knowledge Graph ensures clinical information is accurate and current. Healthcare content must be precise — Writer's enterprise-grade accuracy tools make it appropriate for a domain where errors have serious consequences.
Legal
Law firms and legal departments use Writer for drafting standard contract clauses, generating first drafts of routine legal documents, creating client communications, and producing legal research summaries. Writer is not a replacement for legal judgment — but it significantly reduces the time lawyers spend on routine drafting work, allowing them to focus on the high-value analysis and judgment that requires their expertise. Custom models can be trained on a firm's specific document library and style preferences.
Education
Educational institutions and e-learning companies use Writer to generate course content, student communications, learning materials, and educational marketing. The ability to create consistent, accurate educational content at scale — and in multiple languages — is particularly valuable for large educational platforms serving diverse global student populations. Custom models can be trained on specific curricula and pedagogical approaches.
Technology
Technology companies use Writer for product documentation, technical marketing, developer content, internal knowledge bases, and company communications. Tech companies often struggle with the disconnect between what engineers build and what marketing communicates — Writer's Knowledge Graph, connected to product documentation, ensures marketing content accurately represents technical capabilities. Developer content teams use the API to automate content generation across large documentation libraries.
Customer Support
Customer support organisations use Writer to help agents respond to customer inquiries faster, more consistently, and with greater accuracy about products and policies. AI-drafted responses reviewed by human agents before sending is the typical workflow — combining AI speed and consistency with human oversight and personalisation. Teams handling thousands of tickets per day see the most significant productivity improvements.
Human Resources
HR departments use Writer for employee communications, policy documentation, job descriptions, onboarding materials, performance review templates, and internal announcements. Consistent, clear HR communication is important for employee experience, and Writer helps HR teams produce professional, on-brand communications efficiently — particularly valuable for large organisations communicating to tens of thousands of employees across multiple countries and languages.
Media & Publishing
Media companies use Writer for article drafting, content summarisation, metadata generation, SEO optimisation, social media distribution content, and newsletter creation. Publishers with large content libraries use Writer's API to automatically generate summaries, tags, and related content suggestions. Editorial teams use the writing assistant to produce more content without adding editorial headcount — with AI handling drafting and humans providing editorial judgment and original reporting.
E-commerce
E-commerce companies with large product catalogues use Writer to generate product descriptions, category pages, promotional content, email campaigns, and product metadata at scale. A retailer with 100,000 products needs accurate, SEO-optimised descriptions for all of them — a task that would take an enormous human writing team months to complete and is ideally suited for Writer's AI, which can generate descriptions from product specifications with consistent quality and brand voice across the entire catalogue.
Why Writer Wins

Competitive Advantages

What makes Writer the preferred enterprise AI platform for Fortune 500 companies over generic AI tools and specialist writing assistants.

Enterprise Security
SOC 2 Type II certified, HIPAA compliant, and built from the ground up for enterprise data security. Your data never trains public AI models. All data is encrypted in transit and at rest. On-premise and private cloud deployment options available for the most security-sensitive organisations.
Custom AI Models
Palmyra — Writer's proprietary LLM family — can be fine-tuned on your company's data for AI that genuinely understands your domain, terminology, and communication style. No other independent enterprise AI writing company offers this level of model customisation.
Brand Voice Control
Writer enforces your specific style guide, approved terminology, tone guidelines, and messaging frameworks at every output. Every piece of AI-generated content automatically reflects your brand — not a generic AI voice that sounds like every other company using the same tool.
Knowledge Graph Accuracy
The Knowledge Graph grounds all AI-generated content in your verified, current company information — dramatically reducing AI hallucinations. Content is accurate because it is drawn from your approved sources, not from potentially outdated or incorrect AI training data.
AI Agents for Workflows
Writer's AI Agents automate entire multi-step content workflows, not just individual writing tasks. This goes beyond "AI writing assistant" to genuine business process automation — producing measurable productivity gains across entire departments rather than individual users.
Compliance Built-in
Automatic enforcement of compliance rules, required disclosures, restricted language, and regulatory requirements. For finance, healthcare, and legal teams, this built-in compliance is not just a convenience — it is the difference between a tool they can use professionally and one they cannot.
50+ Integrations
Native integrations with Salesforce, Microsoft 365, Google Workspace, Slack, HubSpot, and 40+ other enterprise tools ensure Writer works where your teams already work — reducing the adoption friction that kills many enterprise software deployments.
Enterprise Scale
Built for organisations with thousands of users, not hundreds. Platform performance, user management, admin controls, audit logging, and customer success support are all designed for the scale and complexity of Fortune 500 enterprise deployments.
Honest Assessment

Challenges Facing Writer

An honest look at the real challenges Writer navigates in a fast-moving and competitive enterprise AI market.

AI Hallucinations
Despite the Knowledge Graph, AI models can still occasionally generate content that sounds accurate but contains errors or fabrications. For enterprise clients — particularly in regulated industries — even occasional inaccuracies are unacceptable. Writer continuously invests in reducing hallucinations, but this remains an active area of AI research rather than a solved problem.
Data Privacy & Security
Enterprise organisations are extremely cautious about which AI systems have access to their proprietary data. Even with SOC 2 certification and strong security practices, convincing risk-averse enterprises to upload their most sensitive content to an AI platform requires ongoing trust-building and rigorous security demonstration. Each major breach at any AI company damages trust across the entire industry.
Intense Competition
OpenAI, Google, and Microsoft all have enterprise AI writing capabilities integrated into products like Microsoft Copilot and Google Workspace. These tech giants have enormous distribution advantages — already being inside the tools enterprises use every day. Writer must continually demonstrate that its specialised, customisable enterprise AI delivers more value than the AI built into office suites.
AI Ethics & Compliance
Regulations around AI-generated content are evolving in the EU (AI Act), US, and other markets. Requirements for AI content disclosure, limits on AI use in certain decision-making contexts, and liability for AI-generated content errors create ongoing compliance complexity for Writer and its clients — particularly in heavily regulated industries like finance and healthcare.
AI Infrastructure Costs
Running and training large language models is computationally expensive. Building proprietary models like Palmyra requires significant ongoing GPU computing costs. As AI capability requirements grow — more powerful models, faster inference, more customisation options — infrastructure costs scale accordingly, creating ongoing pressure to generate sufficient revenue to cover these operational costs while also investing in new capability development.
Global Expansion
Expanding beyond the US market requires not just language support but understanding of different regulatory environments, data sovereignty requirements, business communication norms, and enterprise procurement processes that vary significantly by country and region. Building a globally competitive enterprise AI platform requires substantial investment in each major market.
Looking Ahead

The Future of Writer

Where Writer is heading as enterprise AI continues to evolve rapidly — the opportunities are significant.

AI Agents at Scale
The evolution from AI writing assistant to AI business agent is Writer's most exciting near-term opportunity. As enterprise comfort with autonomous AI grows, AI Agents capable of completing entire content and knowledge workflows without human intervention at every step will become standard infrastructure — and Writer is well-positioned to lead this transition.
Enterprise Automation
The combination of AI content generation, Knowledge Graph accuracy, and AI Agent automation will allow enterprises to automate entire content-intensive business processes — content pipelines, knowledge management, reporting, and communication — with Writer serving as the AI intelligence layer across all of them.
Business Productivity Platform
Writer's ambition extends beyond writing to becoming a comprehensive business productivity AI — handling knowledge retrieval, research synthesis, document generation, decision support, and communication automation across the full scope of office knowledge work. This positions Writer to compete not just with writing tools but with the broad category of enterprise AI assistants.
Knowledge Management AI
The Knowledge Graph is evolving from an accuracy tool into a comprehensive enterprise knowledge management system — the intelligence layer that makes all the organisation's information findable, usable, and actionable by AI and human users alike. This positions Writer as an enterprise knowledge platform, not just a content platform.
AI Collaboration
Future versions of Writer will enable richer human-AI collaboration — with AI working alongside human teams as a genuine collaborative partner, not just a drafting tool. AI team members that proactively surface relevant information, suggest content directions, and learn from team feedback will transform how knowledge work teams operate.
Enterprise AI Search
Writer's Knowledge Graph technology, extended with enterprise search capabilities, could become the AI-powered search layer for entire organisations — enabling natural language queries across all company knowledge, not just written documents. This is a significant market opportunity currently occupied by legacy enterprise search vendors that have not kept pace with AI advances.
Custom Foundation Models
As AI becomes more central to enterprise operations, the most sophisticated organisations will want foundation models trained entirely on their own data and intellectual property — AI that represents their institutional knowledge rather than general web knowledge. Writer is well-positioned to offer this capability as its proprietary Palmyra infrastructure matures.
Future Workplace AI
The workplace of the near future will have AI deeply embedded in every knowledge work process. Companies that successfully adopted enterprise AI early — with the right security, accuracy, and integration — will have significant competitive advantages. Writer is positioning itself to be the AI platform of choice for this transformation in how organisations work.
Market Landscape

Writer vs. Competitors

How does Writer compare to other AI writing and enterprise AI tools in the market?

CompanyFoundedHQEnterprise FocusCustom LLMKnowledge GraphAI AgentsBest For
Writer2020San Francisco 🇺🇸✓ Enterprise Only✓ Palmyra✓✓Fortune 500 enterprise AI platform, brand consistency
OpenAI ChatGPT2015San Francisco 🇺🇸✓ Enterprise tier✗ Generic GPT✗✓ Custom GPTsGeneral AI across all tasks; broad enterprise use
Anthropic Claude2021San Francisco 🇺🇸✓ Enterprise✗ Generic Claude✗✓ DevelopingComplex reasoning, long documents, research tasks
Jasper AI2021Austin, TX 🇺🇸✓ Marketing✗ 3rd party LLMs✗✗Marketing content, smaller businesses
Grammarly AI2009San Francisco 🇺🇸✓ Business✗ 3rd party✗✗Writing quality, grammar, communication clarity
Balanced View

Pros & Cons of Writer

A fair and honest assessment of what Writer does exceptionally well and where it has limitations.

What Writer Does Well
  • Built specifically for enterprise — not adapted from a consumer tool
  • Proprietary Palmyra LLM customisable on company data
  • Knowledge Graph dramatically reduces AI hallucinations
  • Brand voice enforcement ensures consistent, on-brand output
  • SOC 2 Type II, HIPAA — meets highest enterprise security standards
  • AI Agents automate entire content workflows, not just individual tasks
  • Compliance tools for regulated industries (finance, healthcare, legal)
  • 50+ enterprise integrations meet teams in existing tools
  • Strong Fortune 500 customer base validates enterprise readiness
  • Full-stack platform: writing, knowledge, agents, APIs in one place
Areas for Improvement
  • Pricing is enterprise-level — not affordable for very small teams
  • Steeper learning curve than simpler consumer tools
  • Microsoft Copilot and Google Workspace AI have distribution advantage
  • AI hallucinations remain a risk, even with Knowledge Graph
  • Onboarding and setup requires investment of time and expertise
  • Less suitable for individual freelancers or very small businesses
  • Competing against massive resources of OpenAI, Google, Microsoft
Did You Know?

15 Fascinating Facts About Writer

Surprising, impressive, and inspiring facts about the enterprise AI company quietly transforming how Fortune 500 companies create content.

Fact 01
Writer built its own large language models — the Palmyra family — from scratch rather than relying on third-party AI models from OpenAI or Google. This is a bold and expensive technical decision that most AI writing companies have not made, giving Writer full control over its AI quality, customisation, and data privacy guarantees.
Fact 02
Unlike most AI writing startups that built products for individual creators and freelancers, Writer was built exclusively for enterprise from its very first day. This focus meant a slower initial growth curve than consumer AI tools but created a more defensible, higher-value business serving clients whose needs and security requirements smaller AI tools could not meet.
Fact 03
Writer is HIPAA compliant — meaning it meets the strict data privacy standards required by healthcare organisations in the United States. This is rare for AI writing platforms and is why major healthcare systems trust Writer with sensitive content generation tasks involving patient and clinical information.
Fact 04
Writer's Knowledge Graph technology addresses one of the most significant business concerns about using AI: that it "makes things up." By grounding AI output in verified, current company information rather than training data, Writer's Knowledge Graph dramatically reduces the risk of AI hallucinations in business-critical content — a technical innovation with significant enterprise commercial value.
Fact 05
May Habib, Writer's CEO, is Lebanese-Canadian — representing the diverse entrepreneurial talent powering some of Silicon Valley's most innovative companies. Her background in regulated industries (finance and healthcare) before founding Writer directly shaped the enterprise-grade security and compliance focus that distinguishes Writer from competitors founded by people with purely technical backgrounds.
Fact 06
Writer raised $100 million in a single Series B round — one of the largest enterprise AI writing funding rounds at the time. This funding came from investors who recognised the market gap between the flood of consumer AI writing tools and the genuine unmet need for a secure, customisable, enterprise-grade AI content platform.
Fact 07
Writer has over 50 native integrations with enterprise software — meaning it connects directly to tools like Salesforce, Microsoft 365, Google Workspace, Slack, HubSpot, and Contentful without requiring custom API development. This integration breadth is a key enterprise adoption driver: companies adopt AI tools that fit into their existing workflows, not tools that require rebuilding those workflows.
Fact 08
The "brand voice" feature in Writer can be configured to produce AI content that sounds genuinely like a specific company or even a specific person within that company — matching vocabulary choices, sentence length preferences, tone, and structural patterns that characterise their authentic communication style. For companies where brand voice is a core competitive asset, this level of AI voice matching is enormously valuable.
Fact 09
Writer supports content generation in over 11 languages, making it suitable for global enterprises that need to produce content simultaneously across multiple markets. Unlike translation tools, Writer can generate content natively in different languages using the same brand guidelines and knowledge graph — producing genuinely localised content rather than translated versions of English original.
Fact 10
Writer's compliance checking system can be configured to automatically flag AI-generated content that contains phrases prohibited by financial regulations, requires substantiation claims in advertising, or violates healthcare privacy guidelines — before any human reviewer sees the content. For compliance teams at banks, insurers, and healthcare organisations, this automatic pre-screening is enormously time-saving and risk-reducing.
Fact 11
Marketing teams using Writer report producing 5-10x more content than before AI adoption — not by lowering quality standards, but by using AI to handle the time-consuming drafting work that previously consumed most of their writing time. This productivity multiplier allows the same team to cover more content types, topics, and channels than was previously possible within budget.
Fact 12
Writer's AI models are trained on business writing — not the general-purpose mix of internet text that most language models use. This domain-specific training makes Writer's outputs more appropriate for professional business contexts than models trained on consumer internet text, which often produces overly casual or technically imprecise language when used for business purposes.
Fact 13
Writer's AI Agents can be configured to run entirely autonomously on a schedule — for example, generating a weekly competitive intelligence briefing every Monday morning, or automatically updating product descriptions whenever new information is added to the Knowledge Graph. These scheduled agent workflows operate without any human trigger, making them truly autonomous business automation rather than interactive AI assistance.
Fact 14
Writer's Palmyra models have been independently tested and benchmarked against leading language models on business writing tasks — not general-purpose benchmarks. In business writing benchmarks, Palmyra consistently performs competitively with or better than much larger models from major AI labs, demonstrating that domain-specific fine-tuning for enterprise writing can produce results comparable to far larger general models.
Fact 15
Writer's customer retention rate is significantly higher than average for enterprise software — a direct result of the deep integration of Writer into enterprise workflows. When a company has configured Writer's brand voice, loaded their Knowledge Graph, integrated with their IT systems, and trained their teams on it, switching to a competitor has a very high cost. This "stickiness" is one of the strongest indicators of long-term business value in enterprise software.
Common Questions

Frequently Asked Questions

Everything people most commonly want to know about Writer — answered simply and clearly.

Writer is an enterprise AI platform that helps large organisations create accurate, on-brand content at scale using artificial intelligence. Founded in 2020 by May Habib and Waseem AlShikh, Writer is designed specifically for Fortune 500 companies and large enterprises — not individual users or small businesses. The platform combines AI writing assistance (helping employees create content faster), a Knowledge Graph (connecting AI to your verified company information so it stays accurate), AI Agents (autonomous AI that can complete entire content workflows), and custom AI models (training AI on your company's own data for maximum relevance). Unlike general AI tools like ChatGPT, Writer is configured to know your company's specific brand voice, style guidelines, approved messaging, compliance requirements, and terminology — making every piece of AI-generated content appropriate for professional business use rather than generic AI output.

Writer and tools like ChatGPT or Claude are all AI platforms that can generate text, but they are designed for fundamentally different purposes and have very different capabilities for enterprise use. ChatGPT and Claude are general-purpose AI assistants designed to help any user with any text task — they are powerful, flexible, and impressive, but they do not know your company's brand guidelines, your approved messaging, your compliance requirements, or your specific knowledge base. Every user gets the same base experience, and the AI has no knowledge of your organisation specifically. Writer, by contrast, is configured to know your specific brand voice and style, trained on your company's data and knowledge, connected to your verified current information through the Knowledge Graph to prevent hallucinations, programmed with your compliance rules to flag prohibited language, and integrated with your existing enterprise software stack. Writer is more like having a dedicated AI team member who has learned everything about your organisation than a general-purpose assistant who knows nothing about you.

Palmyra is Writer's family of proprietary large language models — the AI systems that power Writer's content generation capabilities. Unlike most AI writing tools that use language models from OpenAI (GPT models) or Google, Writer built and owns its own AI models from the ground up. The Palmyra models are trained specifically for professional business writing tasks rather than general-purpose conversation or internet browsing — making them more appropriate for the accuracy, tone, and format requirements of enterprise content than general-purpose models. The key advantages of having proprietary models include: full control over model quality and behaviour, the ability to fine-tune models on individual enterprise customers' proprietary data, stronger data privacy guarantees (your content is not used to train OpenAI's models), and model behaviour that can be optimised specifically for business writing rather than general conversation.

The Knowledge Graph is one of Writer's most important and innovative features. It solves the biggest practical problem with using AI for business content: AI "hallucinations" — where the AI generates content that sounds authoritative and plausible but is actually factually incorrect or made up. In consumer AI tools, hallucinations are annoying but manageable. In enterprise business content, they can be catastrophic — imagine AI-generated marketing materials with incorrect product specifications, financial documents with wrong regulatory information, or customer communications with inaccurate policy details. Writer's Knowledge Graph connects the AI to your organisation's own verified, current information — product documentation, policy documents, approved messaging, current pricing, factual databases — and instructs the AI to base its outputs on this verified information rather than its training data. When the AI makes a factual claim, it draws from a source that is verified and current, dramatically reducing the risk of the errors that make AI content unreliable for serious business purposes.

Writer AI Agents are autonomous AI systems that can complete entire multi-step business workflows without needing a human to approve each individual step. Think of the difference between asking a colleague "can you write me a paragraph about X?" (that's what a standard AI writing assistant does) versus giving them a project and having them complete every step independently from start to finish (that's what AI Agents do). An example of a Writer AI Agent workflow: a content manager specifies the brief for a new product blog post → the Agent researches the topic using the Knowledge Graph → drafts the full blog post in the company's brand voice → checks it against brand guidelines and compliance rules → routes it to the appropriate human reviewer for final approval → publishes it to the CMS once approved. The human is only involved at the final approval stage — the AI handles all the research, drafting, checking, and routing. This level of automation can transform the productivity of content teams, allowing a small team to manage a content pipeline that previously required a much larger staff.

Writer offers enterprise subscription plans priced for large organisations. The pricing is typically based on the number of users, the level of customisation required (including custom model training), the features needed, and the contract term. Writer does not publicly list its enterprise pricing because contracts are customised for each organisation — pricing is negotiated directly with Writer's enterprise sales team based on the specific requirements and scale of each deployment. Writer is positioned as an enterprise product rather than a consumer tool, meaning it is priced accordingly: enterprise contracts typically involve annual or multi-year commitments rather than month-to-month subscriptions, and the total value for large organisations is typically justified by the productivity gains, consistency improvements, and compliance risk reduction the platform delivers. If you represent a large organisation interested in Writer, the best approach is to contact Writer's sales team for a demonstration and custom pricing discussion.

Yes — Writer was built with enterprise security as a core requirement rather than an afterthought. Key security features and certifications include: SOC 2 Type II certification (demonstrating rigorous independent audit of security controls), HIPAA compliance for healthcare data handling, data encryption in transit and at rest, no use of customer data to train shared models (your proprietary content stays private), options for dedicated infrastructure for highly sensitive environments, comprehensive audit logging for compliance purposes, and SSO (Single Sign-On) integration with enterprise identity systems. Writer also offers data residency options for organisations with regulatory requirements about where data must be stored geographically. For regulated industries like financial services, healthcare, and legal, Writer's security posture represents the minimum viable standard — and many of Writer's Fortune 500 clients have conducted their own independent security assessments before signing contracts.

Writer is used across a wide range of industries, but some sectors use it most intensively. Financial services is among the largest users — banks, insurance companies, investment firms, and fintech companies use Writer for client communications, compliance documentation, marketing content, and internal knowledge management, with compliance tools preventing the language errors that could constitute regulatory violations. Healthcare organisations use it for patient education materials, clinical documentation support, internal communications, and healthcare marketing. Technology companies use it for product documentation, developer marketing, and technical content at scale. Retail and e-commerce companies use it for product description generation at scale. Marketing-intensive companies across all sectors use it for campaign content, social media, and thought leadership. The common thread across industries is a need for high-volume, consistent, on-brand content with specific accuracy and compliance requirements — a combination that makes Writer's enterprise-grade platform more appropriate than general-purpose AI tools.

Yes — customisation is one of Writer's most significant competitive advantages. Writer offers multiple levels of customisation for enterprise clients. Brand voice and style guide configuration allows Writer to learn your specific communication style, vocabulary preferences, tone guidelines, and formatting requirements — so AI output automatically matches your brand. Custom terminology management allows you to define your company's specific product names, approved technical terms, and prohibited phrases so the AI always uses the right language. The Knowledge Graph can be populated with your company's specific documents, data, and approved information sources. Compliance rules can be configured for your specific regulatory environment and business policies. And for enterprise clients on appropriate plans, the Palmyra AI models themselves can be fine-tuned on your company's proprietary data — creating an AI that genuinely understands your organisation's specific domain knowledge, writing patterns, and institutional expertise. This last capability — custom model training on your own data — is the most powerful form of customisation and is what truly differentiates Writer from tools that only let you adjust prompts and templates.

Writer integrates natively with over 50 enterprise software platforms and tools, covering the main categories of enterprise software. Productivity and collaboration tools: Microsoft Word, Google Docs, Microsoft Outlook, Gmail. Sales and CRM: Salesforce, HubSpot. Content management: Contentful, WordPress, HubSpot CMS. Communication: Slack, Microsoft Teams. Marketing: HubSpot Marketing, Marketo. Project management: Asana, Jira. In addition to native integrations, Writer offers a comprehensive API that allows technical teams to build custom integrations with any enterprise system that has an API. The API gives enterprise developers access to all of Writer's core capabilities — content generation, Knowledge Graph retrieval, brand voice enforcement, compliance checking — which can be embedded into custom enterprise applications, automated workflows, and internal tools. The breadth of integrations means enterprise teams can use Writer in the tools they already use every day, without switching to a new interface for every AI interaction.

Writer competes in several overlapping competitive categories. Against general-purpose enterprise AI platforms like OpenAI Enterprise (ChatGPT for Business) and Anthropic's Claude for Enterprise, Writer competes by offering more specialisation — better brand voice control, Knowledge Graph accuracy, compliance tools, and custom LLM training for business writing specifically. Against Microsoft Copilot and Google Workspace AI (which are built into the office suites many enterprises already use), Writer competes by offering deeper customisation, better brand consistency, stronger compliance features, and more powerful AI Agents — arguing that specialised enterprise AI delivers more value than AI built into general productivity tools. Against marketing-focused AI tools like Jasper, Writer competes by targeting larger enterprises with more complex requirements and offering the security, customisation, and compliance capabilities that Jasper does not provide. Against Grammarly Business, Writer competes by offering AI content generation in addition to writing quality checking. Writer's strategic positioning is clear: the most enterprise-ready, most customisable, most compliance-friendly AI content platform — a positioning that matters most to Fortune 500 companies in regulated industries.

Writer is designed to augment human writers rather than replace them — and in practice, most enterprise deployments follow a human-in-the-loop model where AI handles drafting and humans provide judgment, personalisation, and oversight. The typical workflow is: AI drafts the content quickly and accurately, a human writer or editor reviews and refines it, and a human approver signs off before publication. This approach combines AI's speed and consistency with human expertise and quality judgment. The practical result for most organisations is that the same number of human writers can produce significantly more content — not that fewer human writers are needed. However, it is honest to acknowledge that as AI writing quality continues to improve, some writing roles focused primarily on routine, template-based content production will see reduced demand. More creative, strategic, and editorial writing roles — and roles involving human judgment, relationship management, and domain expertise — are less easily replaced by AI and remain primarily human work. Writer's position is that the most effective content is human-guided AI, where humans direct strategy and provide oversight while AI handles the labour-intensive execution.

May Habib is the Co-Founder and CEO of Writer. She is Lebanese-Canadian and built a career in financial technology and business strategy before founding Writer. She co-founded Cecelia Health, a health technology company, and worked in financial services before identifying the opportunity to build an enterprise-grade AI writing platform. Her background in regulated industries directly informed Writer's strong emphasis on enterprise security, compliance, and accuracy. As CEO, May leads Writer's overall strategy, enterprise sales approach, and business direction. Waseem AlShikh is the Co-Founder and CTO of Writer. He brings a deep technical background in AI and machine learning engineering, with experience building production AI systems at scale before Writer. As CTO, Waseem led the development of Writer's core technical assets — including the Palmyra family of language models, the Knowledge Graph technology, and the AI Agents platform. His decision to build proprietary language models rather than rely on OpenAI or Google has become one of Writer's most significant competitive differentiators. Together, May and Waseem represent the complementary combination of enterprise business expertise and deep AI technical capability that has driven Writer's growth and market positioning.

Writer's future is focused on evolving from an enterprise AI writing platform to a comprehensive enterprise AI business platform. The most significant near-term evolution is the expansion of AI Agents — autonomous AI that can complete entire multi-step business workflows, not just assist with individual writing tasks. This moves Writer from "AI that helps you write faster" to "AI that completes entire work processes on your behalf." Longer term, Writer's Knowledge Graph technology has the potential to evolve into a comprehensive enterprise knowledge management and search platform — giving organisations an AI-powered way to make all their institutional knowledge findable, usable, and actionable. The company is also investing in more powerful custom model training capabilities, allowing enterprises to build AI that truly represents their specific institutional knowledge and expertise. Writer's competitive positioning will increasingly depend on demonstrating that specialised enterprise AI delivers more value than the AI being built into general productivity tools by Microsoft and Google — and on building products that are compelling enough to justify enterprise contracts even when some AI capability is "free" in office suites. The market opportunity remains very large, and Writer's enterprise-first approach, security credentials, and proprietary LLM technology give it genuine competitive advantages to defend and build on.

Final Thoughts

Conclusion

Writer occupies a unique and valuable position in the rapidly evolving enterprise AI landscape. In a market flooded with AI writing tools — most built for individual users seeking quick results rather than large organisations seeking reliable, compliant, brand-consistent content at scale — Writer has consistently refused to compromise on enterprise requirements in pursuit of consumer market size. That discipline has resulted in a company that, while smaller in total users than consumer AI giants, serves some of the world's most demanding and most valuable enterprise clients with a product depth that general AI platforms struggle to match.

The strategic decisions that define Writer — building its own Palmyra language models rather than relying on third-party AI, developing the Knowledge Graph to address enterprise hallucination concerns, building AI Agents for workflow automation rather than just text generation, and maintaining uncompromising enterprise security standards from day one — were all more expensive and slower to execute than the alternatives. But each decision has contributed to a competitive position that is genuinely difficult for competitors to replicate quickly.

Writer's bet is straightforward: large enterprises need AI that knows who they are, follows their rules, uses accurate information, and works inside the security standards their industries demand. Delivering that is harder than building a general AI — but it is the only AI that Fortune 500 companies will actually trust for serious business work.

— Summary of Writer's core enterprise strategy

The founders — May Habib and Waseem AlShikh — bring complementary expertise that is genuinely suited to building this type of company. May's background in regulated financial and healthcare industries gave her a clear understanding of what enterprise customers actually need — not just powerful AI, but AI they can control, trust, and explain to their compliance and legal teams. Waseem's deep technical AI background produced the engineering decisions that turned that understanding into real product: proprietary models, Knowledge Graph accuracy, and enterprise-grade infrastructure that can run at the scale of Fortune 500 deployments.

For businesses evaluating enterprise AI options, Writer deserves serious consideration in any comparison. The combination of custom LLM training on your data, Knowledge Graph accuracy grounding, brand voice enforcement, compliance tools, AI Agents for workflow automation, and enterprise security certifications represents a genuinely differentiated value proposition compared to either general-purpose AI platforms or lightweight writing tools that were not designed for enterprise requirements.

The challenge ahead for Writer — and it is a real challenge — is maintaining its differentiation as the AI capabilities built into Microsoft Copilot, Google Workspace AI, and other enterprise software expand. When millions of enterprise employees already have some AI writing capability built into the tools they use every day, Writer must continuously demonstrate that the specialised depth it offers delivers enough additional value to justify a separate enterprise contract. The evidence from its existing Fortune 500 client base suggests it can make this case successfully for organisations where content accuracy, compliance, and brand consistency are genuinely business-critical requirements.

The opportunity in front of Writer is substantial. Enterprise content creation is a massive, labour-intensive function in every large organisation. Marketing, sales, customer support, compliance, human resources, and internal communications collectively consume enormous amounts of skilled writing effort across thousands of employees. AI that can reliably accelerate and improve this work — while meeting the security, accuracy, and compliance requirements that make it usable for serious business purposes — creates enormous economic value for enterprise customers. Writer is one of the best-positioned companies to capture that value.

For anyone in a large organisation thinking about AI adoption for content and knowledge work, understanding Writer is not optional — it is one of the few AI platforms specifically designed to meet the requirements that make enterprise AI deployment genuinely viable rather than a liability. And for anyone curious about where enterprise AI is heading — beyond the impressive consumer demonstrations that dominate technology news — Writer's journey from focused writing tool to full enterprise AI platform is one of the clearest examples of what responsible, enterprise-grade AI adoption actually looks like in practice.

See Writer in Action

Experience the enterprise AI platform that Fortune 500 companies trust for on-brand, accurate, compliant content at scale.