The Data Network For AI agents
Menu
← All companies

Innodata

Innodata provides AI developers and enterprises with training data, human feedback, annotation, reinforcement-learning environments, model evaluations, and red-teaming services for building and improving AI models and agents.

Company website ↗

Source profile checked Oct 13, 2026 · snapshot exported Nov 4, 2026. Importing has not reverified these facts. Original sourced profile ↗

What they do

What they offer

Checked Oct 9, 2026
RL environments, Human data, Training data, Evals and benchmarks, Data annotation
See sources (5)
Link to this factSuggest a change

Type of work

Checked Oct 9, 2026
Coding, Computer use, Browser, Enterprise workflows, Finance, Legal, Medical, Science, Math, Security, Robotics and physical, Multi-domain
See sources (6)
Link to this factSuggest a change

Data handling and security

Other certifications

Checked Oct 9, 2026
ISO 27001:2022, ISO 9001, SSAE 16 Type II, NIST 800-171, HIPAA, GDPR, EU-U.S. Data Privacy Framework and UK Extension
See sources (4)

Federal AI Solutions for Defense, Intelligence and Civilian Agencies ↗

INNODATA INC_December 31, 2025 (Form 10-K) ↗

Data Privacy Framework — Innodata ↗

Multimodal Data Collection - Innodata ↗

Certified and compliant with ISO 27001, ISO 9001, SSAE 16 Type II, NIST 800-171, and HIPAA/DPA standards

Original fact status: listed. Check date is separate from import time.

Link to this factSuggest a change

Data sources

Checked Oct 9, 2026
Built from customer data, Expert or contractor-created, Synthetic / generated
See sources (3)

Domain-Expert Data Annotation & Labeling for AI | Innodata ↗

Multimodal Data Collection - Innodata ↗

Data Solutions for Generative AI — Innodata ↗

Built from customer data
Entity and relationship extraction, intent, sentiment, and preference data drawn from your most complex sources.
Evidence source ↗
Expert or contractor-created
Expert-generated and expert-reviewed datasets for regulated, technical, scientific, financial, legal, healthcare, and enterprise use cases.
Evidence source ↗
Synthetic / generated
Naturally curate or synthetically generate a wide range of high-quality datasets across data types and demographic categories in over 85 native languages.
Evidence source ↗

Original fact status: listed. Check date is separate from import time.

Link to this factSuggest a change

Confidentiality practices

Checked Oct 9, 2026
States that it uses multi-factor authentication, role-based access controls and segregated environments for sensitive datasets, vulnerability management, and endpoint and network security controls, with annual independent audits. For HIPAA-covered or other sensitive customer data, it uses U.S.-based co-located data centers or HIPAA-compliant cloud infrastructure with encryption at rest and in transit.
See sources (1)

INNODATA INC_December 31, 2025 (Form 10-K) ↗

role-based access controls and segregation of environments to limit exposure of sensitive datasets

Original fact status: listed. Check date is separate from import time.

Link to this factSuggest a change

Company information