Digital Divide Data
Digital Divide Data is a privately held AI data services firm that delivers human-in-the-loop data annotation, labeling, LLM fine-tuning, and verification/validation for Fortune 500 enterprises building autonomous systems, LLMs, and generative AI applications.
- Company typePrivate
- Founded2001
- HeadquartersNew York, United States
- Headcount1,001–5,000
- GTM typeB2B
- OfferingServices
What Digital Divide Data does
Digital Divide Data (DDD), founded in 2001 and operating through DDD Ventures LLC, is a privately held AI data services company that delivers human-in-the-loop (HITL) data operations for machine learning and AI training. The company provides end-to-end services spanning data collection, annotation, curation, model evaluation, fine-tuning (including RLHF/DPO), verification and validation, and trust & safety workflows. DDD serves Fortune 500 enterprises and global innovators across primary verticals of Physical AI (autonomous driving, ADAS, robotics, humanoid robots, healthcare AI, AgTech) and Generative AI (foundation models, LLMs, multimodal systems), with secondary presence in enterprise data services, language services, and regulated industries such as healthcare and financial services.
The company's technical stack combines expert human annotation with automated workflows across multimodal data types (image, video, LiDAR, sensor fusion, text, speech). It maintains off-the-shelf training datasets (e.g., D3Scenes) and proprietary preparation pipelines that reportedly sustain 99.5%+ accuracy across 500M+ data points labeled annually and 1M+ miles mapped for autonomous driving. DDD operates a 24/7 delivery model from global centers in Cambodia, Kenya, Laos, and Madagascar, with US delivery capability from Hampton, Virginia and headquarters in New York City. The company holds SOC 2 Type 2, ISO 27001, HIPAA, GDPR, and TISAX certifications, allowing it to serve regulated and safety-critical workloads.
Revenue is generated through project-based professional services contracts scoped by data volume, complexity, quality thresholds, and engagement duration. Go-to-market is exclusively direct enterprise sales with dedicated account teams in North America, Europe, and Asia, supported by content marketing, webinars, and thought leadership. The company employs 1,001–5,000 people and is differentiated by a hybrid "impact sourcing" talent model that provides skilled employment to workers in underserved communities while delivering cost-effective multilingual capacity.
Digital Divide Data firmographics
Firmographics- Name
- Digital Divide Data
- Legal name
- DDD Ventures LLC
- Website
- https://digitaldividedata.com
- Company type
- Private
- Founded year
- 2001
- Operating status
- Operating
- Headcount range
- 1,001–5,000 employees
- Short description
- Digital Divide Data is a privately held AI data services firm that delivers human-in-the-loop data annotation, labeling, LLM fine-tuning, and verification/validation for Fortune 500 enterprises building autonomous systems, LLMs, and generative AI applications.
- Ownership category
- akta.pro rank
Where Digital Divide Data is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices4 records
Markets served
Digital Divide Data business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Operations, Infrastructure, Technology or R&D, Marketing or Sales
Revenue model
- AI Data Services & Annotation: Provides end-to-end ML data operations including data annotation, labeling, and preparation for training AI models. Services cover image, video, LiDAR, text, and speech data. Revenue generated through project-based contracts with enterprise clients, typically scoped based on data volume, complexity, and quality requirements.
- LLM Fine-Tuning & Model Development: Supervised fine-tuning, RLHF, prompt engineering, red teaming, and model evaluation services for enterprises customizing LLMs. Revenue model based on model complexity, dataset size, and engagement scope.
- Physical AI Services: Verification and validation, scenario services, geospatial services, and product V&V for autonomous vehicles, robotics, healthcare automation, and defense tech. Delivered as long-term project partnerships with dedicated teams.
- Language Services: Translation, transcription, multilingual NLP, and low-resource language dataset creation. Supporting global content operations and AI model training across multiple languages.
- Data Pipeline Services: Data preparation, engineering, orchestration, and visualization services enabling organizations to operationalize data at scale. Delivered as managed services within secure operational infrastructure.
Go-to-market motion1 record
Distribution channels2 records
Marketing channels6 records
Digital Divide Data product offering
Product offeringCore offering
Digital Divide Data (DDD) provides end-to-end AI data operations and managed data services for enterprise clients, combining human-in-the-loop expertise with automated workflows. The company specializes in multimodal data annotation (image, video, LiDAR, text, audio, sensor), LLM fine-tuning, RLHF, scenario services for autonomous systems, geospatial/HD map annotation, product verification and validation, language services, and data pipeline engineering. DDD labels 500M+ data points annually across global delivery centers, serving Fortune 500 enterprises developing autonomous vehicles, robotics, LLMs, and AI applications.
Product overview
Digital Divide Data (DDD) operates as a platform-plus-services company offering end-to-end AI data solutions powered by human intelligence. The portfolio consists of three core service pillars: (1) Physical AI Services covering autonomous vehicles, robotics, healthcare AI, and agriculture technology with sub-products for ML model development, scenario services, geospatial services, product verification & validation, and in-cabin AI; (2) Generative AI Solutions providing LLM fine-tuning services, data collection & curation, model evaluation, RAG, RLHF, trust & safety, and multimodal annotation; and (3) Language & Data Services including translation, transcription, multilingual NLP, data pipelines (data preparation, data engineering, data orchestration, data visualization), and content digitization. The company combines human expertise with advanced workflows to deliver 500M+ data points labeled annually, 1M+ miles mapped, and 99.5%+ accuracy across data pipelines, serving Fortune 500 enterprises and global innovators in Physical AI, Gen AI, and Data Services.
Differentiator
Problem solved
Functional benefit
Products and services
- Physical AI Services End-to-end data operations and training solutions for Physical AI systems including autonomous vehicles, ADAS, robotics, healthcare AI, and agriculture technology. Covers ML model development, scenario services, geospatial services, product verification & validation, and in-cabin AI & UX for enterprises developing autonomous systems.
- Generative AI Solutions Comprehensive generative AI services including data collection and curation, prompt engineering, model evaluation, RAG fine-tuning, human preference optimization (RLHF/DPO), trust and safety solutions, and low-resource language support for enterprises building foundation models and LLM-powered applications.
- Language Services Multilingual language data services including translation, transcription, multilingual NLP, low-resource language dataset creation, and cultural heritage digitization for global content operations, AI model training, and publishers.
- Data Pipeline Services End-to-end data pipeline solutions including data preparation, data engineering, data orchestration, and data visualization. Transforms raw, unstructured data into analytics- and model-ready datasets for AI and enterprise decision-making. Delivered as managed services within secure operational infrastructure.
Quantifiable outcome
- 99.5%+ accuracy across all data pipelines
- +3 more outcomes
Companies that use Digital Divide Data
Customer profileNamed customers4 records
Segments5 records
Ideal customer profiles4 records
Digital Divide Data technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability13 records
Feature5 records
Digital Divide Data partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Technical Partners (Platform Collaborations)coreDDD collaborates with leading platforms to deliver smarter, faster, and more reliable AI solutions. The company integrates with various technology platforms to support AI data operations. Specific partner names are not publicly disclosed on the website.
Scale indicators5 records
Digital Divide Data competitors and assessment
Company assessmentDirect peers
- Defined.ai: Provider of off-the-shelf and custom AI training datasets spanning NLP, speech, and computer vision, overlapping with DDD's dataset curation, multilingual, and GenAI service lines.
- Clickworker: Crowdsourced data annotation and AI training data generation platform with global contributor base, comparable to DDD in serving high-volume annotation projects for ML teams.
- Toloka (by Nebius): Crowdsourced AI data labeling and annotation platform serving LLM and computer-vision developers, addressing the same buyer needs as DDD's LLM fine-tuning and multimodal annotation services.
- Scale AI: Largest direct competitor providing AI data labeling and annotation services for computer vision, NLP, and autonomous driving, serving many of the same enterprise and foundation-model customers as DDD.
- Appen: Global data annotation and human-in-the-loop AI data services company working across computer vision, NLP, speech, and autonomous systems — directly overlapping with DDD's Physical AI and GenAI offerings.
- Sama: Social-enterprise data annotation provider with a mission-driven impact-sourcing model nearly identical to DDD's, serving foundation-model and AV customers with a global delivery workforce.
- CloudFactory: Cloud-based data labeling and managed AI data operations with a socially-oriented workforce model, directly comparable to DDD in target use cases, customers, and impact-sourcing positioning.
- Labelbox: AI data platform combining labeling tooling with managed annotation services for computer vision and NLP, competing with DDD for enterprise model-training data engagements.
- Surge AI: Data labeling platform specialized in RLHF and evaluation for foundation models, directly competing with DDD's GenAI fine-tuning and human-preference optimization offerings.
Broad incumbents
- TELUS International (including Lionbridge AI): Large incumbent digital customer experience and AI data solutions provider, offering annotation and content moderation as part of a broader BPO portfolio that overlaps meaningfully with DDD's services.
Market position
Strengths5 records
Weaknesses5 records
Key risks6 records
Key highlights6 records
Customer concentration
Digital Divide Data social profiles
Digital presenceDigital Divide Data compliance and trust
Trust signalCompliance5 records
Digital Divide Data financial estimates
Financial estimateRevenue estimate
Valuation estimate
Digital Divide Data leadership team
Management profileNumber of profiles
Profiles5 records
Digital Divide Data funding detail
Funding detailFunding overview
Funding rounds5 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Digital Divide Data M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Digital Divide Data
What does Digital Divide Data do?
Digital Divide Data (DDD) provides end-to-end AI data operations and managed data services for enterprise clients, combining human-in-the-loop expertise with automated workflows. The company specializes in multimodal data annotation (image, video, LiDAR, text, audio, sensor), LLM fine-tuning, RLHF, scenario services for autonomous systems, geospatial/HD map annotation, product verification and validation, language services, and data pipeline engineering. DDD labels 500M+ data points annually across global delivery centers, serving Fortune 500 enterprises developing autonomous vehicles, robotics, LLMs, and AI applications.
Is Digital Divide Data a public or private company?
Digital Divide Data is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was Digital Divide Data founded?
Digital Divide Data was founded in 2001. It employs 1,001 to 5,000 people.
Where is Digital Divide Data based?
Digital Divide Data is headquartered in New York, United States, in the North America region.
How does Digital Divide Data make money?
Five revenue lines are on record. AI Data Services & Annotation is the primary driver. The others are LLM Fine-Tuning & Model Development, physical AI Services, language Services and data Pipeline Services.
Who are Digital Divide Data's main competitors?
Direct peers on record are Defined.ai, Clickworker, Toloka (by Nebius), Scale AI, Appen, Sama, CloudFactory, Labelbox and Surge AI. TELUS International (including Lionbridge AI) is listed as a broad incumbent.
Does Digital Divide Data have an API?
No public API is recorded for Digital Divide Data.