Innodata
- Company typePublic
- Founded1988
- HeadquartersHackensack, United States
- Headcount5,001–10,000
- GTM typeB2B
- OfferingServices
Innodata firmographics
Firmographics- Name
- Innodata
- Legal name
- Innodata Inc.
- Website
- https://innodata.com
- Company type
- Public
- Founded year
- 1988
- Operating status
- Operating
- Headcount range
- 5,001–10,000 employees
- Ownership category
- akta.pro rank
Innodata industry classification
Industry- Product category
- AI Data Engineering Services
- NAICS
- Custom Computer Programming Services (541511), Other Computer Related Services (541519), Computer Systems Design Services (541512)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG)
- akta.pro secondary industries
- AI/ML Engineering & Model Development Services (BPAEAHAF), Data Engineering, Integration & ETL/ELT Services (BPAEAHAB), NLP Developer Tools & Evaluation (prompting, testing, benchmarks) (HDAAADAK)
Keywords
Where Innodata is headquartered
LocationHeadquarters
- HQ city
- Hackensack
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Innodata business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Operations, Technology or R&D, Infrastructure
Revenue model
- AI Data Services: Multimodal data collection, annotation, and labeling services for AI/ML model training. Services span text, image, video, audio, speech, sensor, and real-world interaction data. Delivered by domain experts at enterprise scale across 120+ languages.
- Supervised Fine-Tuning Data: Creation of task-specific datasets to enhance existing and pre-trained model development. Includes diverse modalities and over 120 languages and dialects for fine-tuning LLMs.
- Human Preference Optimization (RLHF + DPO): Reinforcement learning from human feedback and direct preference optimization services to align AI models with human expectations and preferences.
- Model Safety, Evaluation & Red Teaming: Identify vulnerabilities, rigorously test, and optimize models for safety and compliance through adversarial testing and structured evaluation.
- Off-the-Shelf Datasets: Pre-built AI training datasets available for immediate licensing covering STEM, Coding, Agentic Workflow, Multimodal, Specialized Domains, Finance, Healthcare, and Robotics & Physical AI.
- AI Consulting & Advisory Services: Aligning GenAI strategy, business goals, and implementation roadmaps for enterprise adoption. Includes vision workshops, design thinking, and roadmap definition.
- Vertical SaaS Platforms: Synodex (healthcare document extraction) and Agility PR (PR workflow automation) platforms providing industry-specific AI solutions.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Enterprise Custom Pricing |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels10 records
Innodata product offering
Product offeringCore offering
Innodata is a global data engineering company that prepares and delivers high-quality training data for artificial intelligence systems. Its core services include data annotation, RLHF (Reinforcement Learning from Human Feedback), LLM fine-tuning, model safety evaluation, and content transformation, primarily serving large technology companies building frontier AI and large language models. The company combines a global workforce of human annotators with proprietary platforms and quality control processes.
Product overview
Innodata is a global data engineering company providing a comprehensive portfolio of AI data solutions, platforms, and enterprise services. The core offering centers on AI data preparation and model development services: Multimodal Data Collection, Data Annotation, Supervised Fine-Tuning, Human Preference Optimization (RLHF + DPO), AI Benchmarks (ICAB, LCCI, CBRNE), and Model Safety & Red Teaming. These are complemented by proprietary SaaS platforms — the Annotation Platform (web-based labeling workbenches), Document Intelligence (complex document extraction), Synodex (healthcare medical record extraction), and Agility PR Solutions (AI-powered PR media). Enterprise AI Consulting, Context Engineering, Agentic AI Development, Physical AI & Computer Vision, and Federal AI Solutions extend the services portfolio. The GenAI Platform and GenAI Workbench are noted as forthcoming proprietary platforms. The overall architecture is a platform-plus-services model where managed data services and expert human annotators feed into proprietary annotation and document intelligence platforms, all supporting both generative and traditional AI model development across text, image, video, audio, code, and sensor modalities.
Differentiator
Problem solved
Functional benefit
Brands
- Synodex: Healthcare platform for AI-augmented medical record extraction and underwriting
- Agility PR Solutions
Quantifiable outcome
- 95% average accuracy for advanced AI use cases
- +3 more outcomes
Companies that use Innodata
Customer profileNamed customers16 records
Segments12 records
Ideal customer profiles1 record
Innodata technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability16 records
Feature9 records
Innodata partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core.
- Google CloudcoreIntegration partnership where Innodata serves as a trusted AI data services provider for Google Cloud customers requiring multimodal training data, annotation, and AI evaluation services.
- MicrosoftcoreTechnology integration partnership providing AI data services to Microsoft ecosystem customers; Innodata assists with Azure AI implementations and model development.
- Amazon (AWS)coreIntegration partnership for AWS customers requiring AI training data services; featured at GenAI Summit London 2026 as a trusted partner.
- SnowflakecoreData ecosystem integration partnership enabling seamless data workflows for AI training and evaluation within Snowflake's data cloud platform.
- OpenAIcoreInnodata has developed customer solutions utilizing OpenAI's GPT models for regulatory insights, document processing, and enterprise AI implementations.
Scale indicators8 records
Recent moves6 records
Expansion highlights6 records
Innodata competitors and assessment
Company assessmentDirect peers
- Defined.ai: Defined.ai offers off-the-shelf datasets and data services for AI training, directly competing with Innodata's off-the-shelf dataset marketplace and custom data collection offerings.
- Toloka: Toloka provides crowdsourced data labeling, fine-tuning, and evaluation services across multiple modalities, with overlapping offerings in RLHF and LLM evaluation similar to Innodata's core AI data services.
- iMerit: iMerit delivers domain-expert data annotation and labeling across computer vision, NLP, and content services, overlapping with Innodata's domain-specialist, multi-modal annotation capabilities.
- Scale AI: Scale AI is the leading AI data labeling and RLHF platform, directly competing with Innodata on data annotation, fine-tuning, and evaluation services for foundation models and large enterprise customers.
- CloudFactory: CloudFactory provides managed data annotation and workforce services for AI/ML, with a similar people-plus-platform delivery model that competes with Innodata's enterprise AI data services.
- Appen: Appen is a global data annotation and dataset provider with mature enterprise customer relationships across speech, text, and image labeling, directly overlapping Innodata's supervised fine-tuning and annotation offerings.
- Surge AI: Surge AI specializes in high-quality RLHF and human preference data for frontier model providers, directly competing with Innodata's Human Preference Optimization (RLHF + DPO) service for foundation model customers.
Emerging players
- Snorkel AI: Snorkel AI provides programmatic data labeling and weak supervision technology that can reduce manual labeling needs, positioning it as an adjacent/competing approach to Innodata's human-in-the-loop annotation services.
- Labelbox: Labelbox provides a data-centric AI platform for annotation, curation, and evaluation of training data, competing with Innodata's Annotation Platform and adjacent to its broader data services portfolio.
Broad incumbents
- TELUS International (Lionbridge AI): TELUS International (with its Lionbridge AI assets) provides large-scale multilingual data annotation and AI data services, sharing Innodata's multilingual coverage and global delivery model.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Innodata social profiles
Digital presenceInnodata compliance and trust
Trust signalCompliance3 records
Innodata financial estimates
Financial estimateRevenue estimate
Valuation estimate
Innodata leadership team
Management profileNumber of profiles
Profiles1 record
Innodata subsidiaries and ownership
Company hierarchySubsidiaries2 records
Innodata funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Innodata M&A and investment
M&A and investmentM&A3 records
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Innodata
What does Innodata do?
Innodata is a global data engineering company that prepares and delivers high-quality training data for artificial intelligence systems. Its core services include data annotation, RLHF (Reinforcement Learning from Human Feedback), LLM fine-tuning, model safety evaluation, and content transformation, primarily serving large technology companies building frontier AI and large language models. The company combines a global workforce of human annotators with proprietary platforms and quality control processes.
Is Innodata a public or private company?
Innodata is a public company. It is classified as public and is currently operating.
When was Innodata founded?
Innodata was founded in 1988. It employs 5,001 to 10,000 people.
Where is Innodata based?
Innodata is headquartered in Hackensack, United States, in the North America region.
How does Innodata make money?
Seven revenue lines are on record. AI Data Services are the primary driver. The others are supervised Fine-Tuning Data, human Preference Optimization (RLHF + DPO), model Safety, Evaluation & Red Teaming, off-the-Shelf Datasets, AI Consulting & Advisory Services and vertical SaaS Platforms.
Who are Innodata's main competitors?
Direct peers on record are Defined.ai, Toloka, iMerit, Scale AI, CloudFactory, Appen and Surge AI. Emerging players are Snorkel AI and Labelbox. TELUS International (Lionbridge AI) is listed as a broad incumbent.
Does Innodata have an API?
No public API is recorded for Innodata.
What industry is Innodata in?
Innodata's product category is AI Data Engineering Services. Its primary akta.pro industry code is BPAEAHAG, Generative AI & LLM Solutions Services (RAG, Agents, Copilots), with a secondary code of BPAEAHAF, AI/ML Engineering & Model Development Services. Its NAICS code is 541511 and its SIC code is 7370.