Artificial Intelligence Files · Research Database

D-ID — Real-World AI Case Studies

Who used D-ID, what problem they had, which D-ID technology they used, how the workflow worked, what humans did, what AI did, what happened afterward, and how strong the evidence is.

Research updated 1 October 202620 documented projects / pilotsCurrent + historicalEvidence-labelled
D-ID AI case studies

Introduction & Research Method

This database focuses on documented real-world use of D-ID technology. It is not a general D-ID company profile. Product capabilities are kept separate from customer outcomes, and D-ID's own claims are not presented as independently verified unless another credible source supports them.

20projects, deployments, campaigns or pilots documented below
8current/modern customer examples or deployments in the current D-ID ecosystem
12historical or campaign-era examples retained for context

Evidence levels

LevelMeaning
A Independently verifiedCustomer + D-ID + credible independent/customer primary evidence.
B Strong primary evidenceDetailed official customer case study or customer/project page.
C Customer-reportedDirect customer statement/result, but independent verification is limited.
D Company-reportedD-ID reports the deployment/result without sufficient independent confirmation.
E Third-party reportedCredible external reporting or project coverage.
F Promotional/demoDemonstration or marketing material without sufficient deployment evidence.
Important: “CURRENT” means D-ID still presents the example or capability as current as of the research date. It does not independently prove that the customer contract remains active, paid, or unchanged.

Master Case-Study Database

#Customer / ProjectIndustryD-ID technologyAI useResult / statusEvidenceDate
1SIU School of Medicine — RandyHealthcare / medical educationReal-Time Visual AgentsVirtual patient simulation11 AI patients live; global 10-university alpha; millions of interactions expectedB + customer-reported2025–2026
2PepsiCo / Gatorade Sports Science Institute — AnnaSports science / consumer educationVisual AgentInteractive hydration educationWebsite agent with evidence-based guidance, resources and action paths; quantitative outcome not disclosedDCurrent
3HARTMANN Group — EvaHealthcare productsVisual AgentProduct information / CXAnswers product questions, recommends resources and routes users to formsDCurrent
4RafaelDefense / technical productsVisual AgentsTechnical product explanationSeries of agents publicly presented; metrics not disclosedDCurrent
5CreatorUp — Digital MikeCreator economy / creative servicesVisual AgentProspect and service educationCEO digital agent explains offerings; metrics not disclosedDCurrent
6Hakuhodo TechnologiesAdvertising / technologyStreaming avatars / APILive stage avatar; AI rap business cardLatency reduced below 3 seconds; AI Rap Business Card received major awards; 94.1% familiarity result reported by HakuhodoA/B2024–2025
7My Last Will — MyDigital legacyConversational video assistantHumanized legacy planningSession completion reported +30%+B2026
8Envy — Billy 2.0Tech marketing / RevOpsAI digital twin / avatarPersonalized outreach28%→49% newsletter open rate; 2.6%→5.9% CTR; 7 meetings booked in reported campaignB/C2025
9AFA — AllisonHealthcare nonprofitStreaming avatar API24/7 caregiver information/support300+ FAQs; scores of inquiries/week reported; human help-ticket escalationA/B2024–2025
10Pitango — SamVenture capitalCreative Reality StudioAvatar-led newsletterSpike in open rates and website traffic; exact figures not disclosedB/C2024
11Diplomat GroupFMCG / L&DCreative Reality Studio + PowerPointTraining and communicationsProduction/vendor dependence/cost reported improved; exact savings not disclosedB/C2024
12SPIN Sport InnovationSports / health / educationDigital People videoOnline capacity-building courses15–20 videos produced in one week; multilingual workflowB/C2022–2023
13SingItEdTechStreaming API / AI teachersEnglish learning85% preferred D-ID digital teachers in tests; 2,000+ waitlist after introB/C2023
14Defined.ai + Microsoft + Daredata + AMAGovernment / AI servicesStreaming avatar technologyDigital public-service interaction pilotPilot documented; no robust outcome metric disclosedB/D2023
15Convo.aiAI mobile / entertainmentStreaming APIFace-to-face AI companions~1.6K app downloads at time of case; D-ID characters a significant subscriber featureB/D2023
16Radio FórmulaMedia / broadcastingCreative Reality StudioAI news presenters + onboardingMonth-on-month viewership increase reported; no numerical change publishedB/D2023
17GameloftGamingCreative Reality StudioCharacter-based UA ads3–4 minute generation workflow; 20+ concepts and sometimes 50+ iterationsB/C2023
18Vantage Innovation Lab / SOMOSFood & beverage marketingStreaming avatarAI grandmother / culinary experienceWebsite + WhatsApp access; real-time avatar and cloned voiceD/E2023
19D-ID Video Campaigns pilotMarketing technologyPersonalized Video CampaignsEmail re-engagement16.3% personalized CTR vs 11.6%; 1,812 coupon redemptions; 30% higher redemption rateD/F — D-ID internal pilot2024
20D-ID Christmas personalized email testMarketing technologyPersonalized video emailPersonalized conversion testPersonalized email reported 300% higher conversion rateD/F — D-ID internal test2023

Visual AI Agent Case Studies

D-ID's current Visual Agent workflow combines an avatar, voice, behavior/personality, knowledge, an LLM, optional webhooks/API actions, and a publishable real-time session. The platform page explicitly describes the configuration flow as define behavior → add knowledge → assign webhooks → publish.

OrganizationAgentRoleKnowledge / interactionActionsPublic result
SIU School of MedicineRandy + other virtual patientsClinical-interview simulationCustom LLM backend + SIU RAG documents; real-time student conversationScenario progression / adaptive responses11 AI patients live; global alpha; millions of interactions expected
PepsiCo / GSSIAnna the Hydration CoachHydration science educationGSSI evidence-based knowledge; personalized questionsResources, forms and purchase-related pathsMetrics not publicly disclosed
HARTMANNEvaHealthcare product expertProduct information for professionals/administratorsResource suggestions; forms for meetings/purchasesMetrics not publicly disclosed
RafaelSeries of agentsTechnical product explainerHighly technical military-product informationPublic description does not disclose sensitive operational actionsMetrics not publicly disclosed
CreatorUpDigital MikeProspect educationCreatorUp service and AI+human creative offeringProvides information to visitors/prospectsMetrics not publicly disclosed

SIU School of Medicine — “Randy”

CURRENT Level B + customer-reported
Published 6 May 2025
HealthcareMedical educationVisual AgentRAG
Organization
Southern Illinois University School of Medicine
Industry
Academics / healthcare
Agent
Randy Rhodes; 11 AI patients reported live by the case study
Problem
Game-based simulation could not handle unpredictable student questions and could not reproduce the human face-to-face trust-building dimension of clinical interviews.
Why D-ID
SIU needed realistic, responsive visual patients rather than a text-only chatbot.
Implementation
D-ID Real-Time embedded agents provide the visual layer; SIU built patient personas and backend integrations and used a custom LLM/RAG setup. ElevenLabs supplied customized voices.
Human work
Prompt engineering, patient-persona design, backend integration, scenario testing, anonymized feedback collection and academic validation.
AI work
Real-time dialogue, adaptive symptoms/conditions/emotional states, avatar performance and repeatable patient simulation.
Outcome
Students can practice on phones, repeatedly and at their own pace; a 10-university alpha was launched and millions of interactions were expected. No clinical-outcome improvement is claimed here.
“There’s no way I can train a medical learner with a chatbot. Humans don’t learn that way—they look at faces, read emotions, ask questions, and respond. That’s why we needed avatars.” — Dr. Richard Selinfreund, associate professor and head of pathology, SIU.

Before vs after

MetricBeforeAfterEvidence
Simulation formatGame-oriented approach was inadequate for unpredictable dialogueReal-time AI patientsCustomer/D-ID case
RepeatabilityLimited by traditional simulationStudents can practice as many times as neededCase study
AI patient count—11 live; more released weekly at time of caseCompany-reported
Clinical outcomes—Not publicly disclosedEvidence boundary

Safety & evidence: This is a training simulation, not a clinical diagnostic or treatment system. The case describes anonymized feedback and planned academic validation. No patient-health outcome claim is made.

Sources: D-ID case study; SIU School of Medicine.

PepsiCo / Gatorade Sports Science Institute — “Anna the Hydration Coach”

CURRENT Level D — company-reported
Current D-ID customer example
Sports scienceConsumer educationVisual Agent

D-ID says PepsiCo deployed an AI visual agent for the Gatorade Sports Science Institute. “Anna the Hydration Coach” gives visitors a personalized, interactive way to explore hydration science. D-ID describes evidence-based information, resource recommendations and routes toward forms for meetings and purchases, with strict safety, accuracy and responsible-AI guidelines.

Knowledge
D-ID publicly describes the experience as grounded in Gatorade sports-science information; exact retrieval architecture and source list are not publicly disclosed.
Interaction
Visitors ask questions and receive personalized responses through a visual agent.
Business objective
Turn Gatorade's sports-science expertise into an interactive digital experience and connect users with resources and commercial paths.
Metrics
Lead, conversion, satisfaction and conversation metrics are not publicly disclosed.

Causality: There is no public quantitative evidence here showing that Anna caused additional sales or leads. The documented fact is the deployment and its intended workflow.

Source: D-ID Visual Agent customer examples.

HARTMANN Group — “Eva”

CURRENT Level D
Current D-ID customer example

HARTMANN created Eva, a website-embedded visual agent for healthcare professionals and administrators. D-ID says Eva answers questions about HARTMANN products, recommends resources and directs users to forms for meetings and purchases.

Question → answer flow
User asks a product question → Eva uses product knowledge → visual conversational response → resource recommendation or form.
Results
Public quantitative response-time, resolution, lead, conversion or satisfaction figures were not located in the reviewed primary material.

Safety: This is healthcare-product information, not evidence that Eva diagnoses patients or provides clinical treatment advice.

Source: D-ID Visual Agents.

Rafael — Technical Product Visual Agents

CURRENT Level D
Current D-ID customer example

D-ID currently describes Rafael as a defense company using a series of visual agents to explain highly technical military products. Public material reviewed for this database does not disclose agent names, detailed architecture, sensitive capabilities, actions, deployment metrics or conversion results.

Scope control: This entry intentionally does not infer military capabilities, operational uses or sensitive technical details beyond D-ID's public description.

Source: D-ID customer examples.

CreatorUp — “Digital Mike”

CURRENT Level D
Current D-ID customer example

CreatorUp developed an AI visual agent representing CEO Mike Tringe. D-ID describes the agent as a prospect-facing experience that explains CreatorUp's services combining AI capabilities with human creative talent.

Business objective
Give prospects a humanized digital interface for learning about CreatorUp's services.
Metrics
Public conversion, lead, meeting, engagement-time or revenue results are not disclosed.

Source: D-ID customer examples.

AI Avatar, Digital Human & Marketing Case Studies

Hakuhodo Technologies — Streaming Avatar Experiences & AI Rap Business Card

CURRENT PROJECT HISTORY Level A/B
Japan · 2024–2025

Hakuhodo Technologies, the technology arm of Hakuhodo DY Group, partnered with D-ID for customized streaming-avatar experiences. D-ID documents a Japan-specific pipeline using D-ID Premium+ avatars and streaming API integration with a specialized Japanese TTS model. Initial latency was reduced to under three seconds.

Project 1
At an automobile-sector event, an executive interacted live with his own avatar. D-ID says the approach reduced cost and production time and prompted discussion of virtual sales representatives.
Project 2
AI Rap Business Card: users created personalized rap videos introducing themselves, used at Hakuhodo's new-employee orientation.
Independent verification
Hakuhodo's official project page reports 94.1% of survey respondents felt a sense of familiarity with the president. Hakuhodo also lists 2025 PR Awards Asia-Pacific Gold (Technology), Silver (Internal Communications), and 2025 IPRA Golden World Award Winner for Internal Communications.
D-ID role
D-ID supplied avatar/streaming technology; other creative and TTS components were part of the broader pipeline.
“Our goal is to use technology in the most creative and impactful ways, and D-ID has provided us with an incredible tool to bring some of our most ambitious and original ideas to life.” — Ken Matsuzaki, Creative Technologist, Hakuhodo Technologies.

Sources: D-ID case study; Hakuhodo project page; IPRA awards.

My Last Will — “My” Conversational Video Assistant

CURRENT Level B
2 February 2026

My Last Will built “My,” an AI-powered conversational video assistant for digital legacy planning. D-ID says the system adds a human, conversational layer to a process previously based on static text, forms and limited video.

Problem
Legacy instructions and personal messages are emotionally sensitive; static administrative workflows can make empathy, intent and trust difficult to convey.
D-ID role
Conversational video and API integration supplied the visual/human interaction layer.
Reported outcome
Session completion rates increased by over 30%; users spent significantly more time interacting; qualitative feedback indicated greater emotional clarity and confidence.
Evidence boundary
The numerical result is D-ID's case-study report. Independent measurement methodology was not publicly disclosed in the reviewed source.

Source: D-ID case study.

Envy — “Billy 2.0” Digital Twin

CURRENT / LATEST PUBLIC CASE Level B/C
18 May 2025

Envy, a B2B tech marketing and RevOps agency, created a D-ID digital twin of managing partner Billy Cina for event follow-up, newsletter communication and sales outreach.

MetricBeforeAfterChangeEvidence
Newsletter open rate28%49%+21 percentage pointsEnvy/D-ID case study
Newsletter CTR2.6%5.9%+3.3 percentage pointsEnvy/D-ID case study
Avatar email open rateEnvy average50%Nearly 2× average, per caseEnvy/D-ID case study
Direct responses—1515 reportedEnvy/D-ID case study
Meetings booked—77 reported at publicationEnvy/D-ID case study

Causality: The case records results after avatar use and attributes them to the campaign experience, but it does not establish a controlled causal experiment isolating D-ID from message, audience or campaign effects.

Source: D-ID case study.

Pitango — “Sam” AI Avatar Newsletter

HISTORICAL / ONGOING STATUS NOT VERIFIED Level B/C
2 June 2024

Pitango used D-ID's Creative Reality Studio to animate an AI-generated avatar named Sam for its “The Juice” newsletter, aimed at an audience of more than 10,000. The workflow included avatar design, D-ID generation and human video editing with transitions, subtitles and background imagery.

D-ID reports a notable spike in newsletter open rates and website traffic, tracked through Google Analytics, but exact figures were not published. Pitango's Head of Marketing said the team planned to reuse Sam and other avatars.

Source: D-ID case study.

Gameloft — Video-Game Character Advertising

HISTORICAL Level B/C
28 November 2023

Gameloft's Creative Agency Team in Sofia used D-ID Studio to turn static game-character images into speaking-character short-form user-acquisition ads. The workflow was image → D-ID facial animation/text-to-speech → conventional video editing → distribution through Facebook, Google Ads and sometimes YouTube.

Production result
A D-ID-generated video could be produced in about 3–4 minutes after the script was ready, according to the case.
Scale
More than 20 creative concepts and sometimes over 50 iterations were reported.
Business result
D-ID says the videos performed exceptionally well, but no numeric acquisition, CTR, CPI, conversion or revenue metric is disclosed.
Human role
Scriptwriting, creative testing, editing and iterative optimization remained human-led.

Source: D-ID case study.

Healthcare, Education & Training

AFA — “Allison” Alzheimer’s Caregiver Support

CURRENT PROJECT Level A/B
Launch reported Jan 2025; build described Dec 2024

The Alzheimer's Foundation of America introduced Allison, an AI-powered virtual helpline assistant developed by Bold Crow AI using D-ID's avatar API. AFA's own public announcement says D-ID powers the streaming animation while Bold Crow AI programmed the assistant.

Problem
AFA's live helpline is staffed 9 a.m.–9 p.m. daily, while caregiver questions can arise outside those hours.
AI role
Allison answers questions on dementia, caregiving, brain health and related resources; D-ID supplies the animated talking-avatar interface.
Knowledge
D-ID's case says more than 300 frequently asked questions were covered.
Human handoff
If a question is outside the database, Allison can triage and help create a help ticket for AFA social workers.
Languages
English, Spanish and Farsi are described in the D-ID case.
Usage
D-ID reported scores of inquiries per week at the time of the case.
Medical safety: The documented role is information and caregiver support. This database does not characterize Allison as a diagnostic or treatment system. Questions involving medical decisions may require human professional support.

Sources: D-ID case study; Bold Crow AI project page; D-ID announcement; AFA public announcement.

Diplomat Group — AI Training Production

HISTORICAL Level B/C
1 May 2024

Diplomat Group's global Learning & Development team used D-ID Creative Reality Studio and its PowerPoint plug-in to bring video production in-house. The company had relied on external video vendors and wanted faster, lower-friction content creation for training and communications.

Content
Training videos for new systems/processes, modular guides, AI-presenter presentations, narratives and simulations.
Human workflow
Departments submit requests; writers/contributors follow design and content guidelines; L&D produces and maintains assets.
Reported outcome
Management and employees reported improvements in production time, vendor dependence and cost, but exact savings were not disclosed.
Next step
Diplomat planned product simulations where an avatar presents scenarios, asks questions and responds according to the learner's answers.

Source: D-ID case study.

SPIN Sport Innovation — Digital People for Courses

HISTORICAL Level B/C
Integrated November 2022; case published 2023

German social-impact organization SPIN Sport Innovation integrated D-ID digital people into online capacity-building courses in sports, health and education. The avatars introduced or accompanied course content and reduced the need for staff travel to record content.

Metric / capabilityReported result
Production speed15–20 videos in one week
LanguagesEnglish, German, Dutch, French, Italian, Spanish, Portuguese and Hungarian were cited as useful options
TravelCustomer said course creation could occur without travel
Learning outcomesNot publicly disclosed

Source: D-ID case study.

SingIt — Face-to-Face AI English Teachers

HISTORICAL Level B/C
5 December 2023

SingIt, an EdTech company with a reported 150,000 users in Israel, integrated D-ID's API to create face-to-face AI English teachers. The avatars supplied audio and visual feedback in real time.

MeasureReported resultEvidence note
Preference test85% preferred D-ID digital teachersD-ID case-study report
Waitlist2,000+ after basic introductory videoD-ID case-study report
Learning retention/outcomesNot publicly disclosedDo not infer from preference

Source: D-ID case study.

Marketing, Media & Customer Experience

Radio Fórmula — AI Newscasters

HISTORICAL Level B/D
Q1 2023 deployment

Mexican broadcaster Radio Fórmula created three AI-generated newscasters — Nat, Sofi and Max — using D-ID Creative Reality Studio. Journalists and producers wrote the scripts; B-roll and graphics were added; the segments were distributed through the video-streaming channel and repurposed for social media. D-ID also describes a secondary HR onboarding/training use.

Outcome: D-ID reports a month-on-month increase in viewership, particularly among younger audiences that had been reducing news consumption. No exact percentage is published.

Human + AI: Humans remained responsible for journalism, scripts, production and editorial content; D-ID handled avatar generation.

Source: D-ID case study.

Vantage Innovation Lab / SOMOS — “Abuela Veronica”

HISTORICAL Level D/E
4 October 2023

Vantage Innovation Lab and SOMOS, a Mexican food brand, partnered with D-ID and ElevenLabs to create a real-time streaming avatar of SOMOS co-founder Miguel Leal's mother, Veronica Villarreal. The experience allowed users to access her culinary guidance through the website and WhatsApp.

TechnologyContribution
D-IDReal-time streaming avatar / facial animation and customized avatar delivery.
ElevenLabsCloned AI voice used with the avatar.
ChatGPTConversational AI layer described in the project announcement.
WhatsApp / websiteUser access channels.

Results: The reviewed primary announcement documents the experience and access channels but does not publish robust conversion, sales or ROI metrics.

Source: D-ID announcement.

Defined.ai + Microsoft + Daredata + Portuguese AMA

HISTORICAL PILOT Level B/D
5 December 2023 case

Defined.ai, Microsoft and Daredata Engineering worked with Portugal's Agency for Modernization in a government-sponsored pilot to improve digital interactions. D-ID technology supplied lifelike avatar interaction. The project sat within the Accelerat.ai initiative under Portugal's Recovery and Resilience Plan.

Architecture: the broader project included speech-to-text, natural-language understanding, dialogue management, natural-language generation and text-to-speech. The D-ID contribution should not be treated as responsible for the entire stack.

Result: Pilot/deployment documented; quantitative user or service outcomes not disclosed in the reviewed D-ID case.

Source: D-ID case study.

Convo.ai — AI Companions

HISTORICAL Level B/D
5 December 2023 case

Convo.ai integrated D-ID's streaming API to make user-created AI characters visually and vocally conversational. D-ID's case describes a mobile app with customizable characters, facial expressions and more than 150 AI voices; ElevenLabs supplied voices and language support.

Reported scale at case publication: approximately 1.6K App Store downloads. D-ID says a significant portion of subscribers paid for D-ID-generated characters. This is a company case-study claim, not an independently audited subscription metric.

Source: D-ID case study.

Historical D-ID AI Projects & Product Demonstrations

chat.D-ID

HISTORICAL PRODUCT / DEMO Not a customer case
Launched 7 March 2023

chat.D-ID was a web app combining D-ID's real-time text-to-video streaming technology with OpenAI's ChatGPT so users could converse face-to-face with a photorealistic AI avatar. It was launched in beta and presented as a demonstration of D-ID's streaming technology.

Current status: The 2023 launch should not be treated as evidence that chat.D-ID remains a current standalone product. Current D-ID materials instead emphasize Visual Agents and V4 Expressive Visual Agents.

Source: D-ID launch announcement.

D-ID Chat API / Real-Time Digital Humans

HISTORICAL PRODUCT LAUNCH Not a customer result
1–2 March 2023

D-ID launched a real-time streaming/chat API for face-to-face conversations with AI digital humans. The announcement described integration with LLMs such as GPT-3 and LaMDA and potential uses in customer support, sales, training and personal finance.

Evidence boundary: These were product capabilities and intended use cases. They are not customer outcome claims. Current implementation details should be checked against D-ID's current API documentation rather than assuming the 2023 architecture remains unchanged.

Source: D-ID launch announcement.

D-ID Video Campaigns — Internal Pilot

PROMOTIONAL / INTERNAL TEST Level D/F
7 August 2024

D-ID ran controlled-style tests of personalized video email campaigns against non-personalized formats. The tests targeted less-active contacts and measured open/engagement, CTR and coupon redemption.

MeasurePersonalized videoComparatorReported result
Average CTR16.3%11.6%+4.7 percentage points
Email clicksPersonalizedNon-personalized18% more clicks
Coupon redemptions1,812Non-personalized comparison30% higher redemption rate
Build time~1 hour per email—Bulk of work automated

Classification: This is not a customer case. It is a D-ID pilot using its own marketing technology, so the findings should be treated as company-reported internal evidence.

Source: D-ID pilot case.

D-ID Christmas Personalized Video Email Test

PROMOTIONAL / INTERNAL TEST Level D/F
December 2023

D-ID compared a personalized Christmas video email with a non-personalized version. The personalized group received a first-name greeting and 20 Studio credits; the comparison group received a generic greeting and the same incentive.

Reported result: D-ID states the personalized email achieved a 300% higher conversion rate. The reviewed case does not provide enough experimental detail to generalize that result to all campaigns or isolate every causal variable.

Source: D-ID case study.

Agentic Videos — 2026 Launch

CURRENT PRODUCT Not itself a customer case
23 April 2026

D-ID announced Agentic Videos as a capability that turns traditional one-way video into interactive experiences in which a visual AI agent can continue a conversation after the video. D-ID describes knowledge, memory, a digital-human interface and agentic capabilities, plus analytics such as conversation volume, engagement time, question topics and sentiment.

Evidence boundary: The launch demonstrates a product capability. It should not be converted into claims about customer performance until individual deployments disclose results.

Source: D-ID launch announcement.

V4 Expressive Visual Agents

CURRENT PRODUCT Capability, not customer result
16 March 2026

D-ID launched V4 Expressive Visual Agents for real-time, LLM-connected conversations. D-ID reports sub-0.5-second conversational turns, up to 4K output, sentiment-aware facial expression, optional camera/vision, inline media/UI and MCP-app integrations. D-ID's technical page reports a June 2026 SyncNet benchmark and other performance figures; those are vendor-reported product benchmarks, not customer outcomes.

Workflow: avatar + voice + behavior/personality + knowledge/RAG + LLM + optional webhooks/API actions + WebRTC session + conversation logs/analytics.

Source: D-ID V4 announcement; D-ID V4 technical specifications.

Before vs After & Measurable Results

CaseMetricBefore / comparatorAfter / resultInterpretation
EnvyNewsletter open rate28%49%Observed after avatar edition; not a controlled causal estimate.
EnvyNewsletter CTR2.6%5.9%Observed after avatar edition; case reports more than 2×.
EnvyAvatar campaignEnvy average50% open rateNearly double Envy average per case.
My Last WillSession completionPrevious text/form flow+30%+Company/case-study reported.
SingItTeacher preferenceOther digital teachers in test85% preferred D-ID teachersPreference, not learning-outcome improvement.
SPINVideo productionTravel/recording-heavy workflow15–20 videos in one weekProduction throughput, not learning efficacy.
GameloftGeneration workflowManual script/voice/animation work3–4 minutes after ready scriptGeneration time reported; total campaign time is larger.
HakuhodoReal-time latencyHigh initial latency<3 seconds after optimizationTechnical implementation result.
HakuhodoEmployee familiaritySurvey94.1% felt familiarity with presidentProject survey result reported by Hakuhodo.
D-ID internal pilotPersonalized CTR11.6%16.3%Internal company test.
D-ID internal pilotCoupon redemptionNon-personalized comparator1,812 redemptions; 30% higher rateInternal company test.
Radio FórmulaViewershipPrior monthMonth-on-month increaseNo numeric change published.
PitangoOpen rate / trafficPrior newsletter contextSpike reportedNo numeric change published.
ROI: For all cases above, ROI is Not publicly disclosed unless a source supplies both investment cost and financial benefit. Engagement is not treated as ROI.

Safety & Responsible AI

Healthcare

SIU's Randy is a training simulation, while AFA's Allison is an information/support assistant. Neither is treated here as evidence of autonomous diagnosis or treatment. Human escalation is explicitly part of the AFA workflow.

Identity & likeness

Digital twins and cloned voices require appropriate consent, rights and disclosure. Envy used a disclosed digital twin; the SOMOS project used a family member's likeness/voice context. Exact legal-consent terms are not assumed where sources do not state them.

Defense

Rafael is documented only at the public level of technical product explanation. No inference about classified or operational capabilities is made.

Grounding

D-ID's current agent architecture describes customer-controlled knowledge/RAG and optional controls, but individual case pages do not disclose every guardrail. Do not transfer platform-level governance claims automatically to every deployment.

Human review

Across the documented cases, humans remain responsible for scripts, content strategy, persona design, knowledge preparation, editorial review, campaign decisions or professional escalation.

Deepfake risk

Transparent disclosure matters for digital twins, historical figures and voice/likeness cloning. Envy's case explicitly recommends being transparent that the avatar is an avatar.

Evidence-Based Patterns & Researcher Inference

Evidence-based observations

Researcher inference — clearly separated

Source Register

The research prioritizes D-ID primary material, customer-owned project pages and credible independent/award sources. D-ID pages are explicitly labelled as company-reported where independent verification is absent.

  1. D-ID official case-study library
  2. D-ID Visual Agents
  3. D-ID Visual Agent customer examples
  4. SIU School of Medicine case study
  5. AFA case study
  6. Bold Crow AI — Allison project
  7. AFA public launch post
  8. Hakuhodo Technologies case study
  9. Hakuhodo — AI Rap Business Card
  10. IPRA Golden World Awards
  11. My Last Will case study
  12. Envy case study
  13. Pitango case study
  14. Diplomat Group case study
  15. SPIN Sport Innovation case study
  16. SingIt case study
  17. Defined.ai case study
  18. Convo.ai case study
  19. Radio Fórmula case study
  20. Gameloft case study
  21. Vantage Innovation Lab / SOMOS announcement
  22. D-ID Video Campaigns pilot
  23. D-ID Christmas personalized-video test
  24. chat.D-ID launch announcement
  25. D-ID Chat API launch
  26. Agentic Videos launch
  27. V4 Expressive Visual Agents launch
  28. V4 technical specifications

Artificial Intelligence Files — Editorial Conclusion

The documented D-ID cases show a progression from AI-generated presenters toward interactive digital humans. The strongest evidence is not that an avatar automatically improves business performance; rather, the cases show organizations redesigning specific workflows around repeatable video production, personalized communication, simulation, knowledge access and real-time interaction.

Where metrics exist, they are presented with their source and limitations. Where a customer or D-ID does not disclose a number, this database does not estimate it. Product capabilities such as lead qualification, booking, analytics or real-time conversation are not treated as customer results unless a deployment documents those outcomes.