Defined.ai
Defined.ai, founded in 2015 by Daniela Braga, is a US-based company that operates a marketplace for AI training data.
Profile
Defined.ai sells pre-built and custom datasets, along with data annotation and evaluation services, to companies training AI models.
Defined.ai, founded in 2015 by Daniela Braga, is a US-based company that operates a marketplace for AI training data. As of early 2026, the company reported 65% revenue growth for 2025 and a net revenue retention rate of 143%. The company claims to host the 'world's largest AI data marketplace' and lists Adobe, Amazon, Google, McAfee, Meta, and OpenAI as clients.
Defined.ai is ISO 27001, 27701, and 42001 accredited, and claims GDPR and HIPAA compliance. The company's VP of Finance, Teresa Lima de Andrade, publicly disclosed these metrics in a March 2026 video. The company has raised $78.6 million in total funding as of January 2025, according to TechCrunch's startup profile.
Defined.ai's core business is providing off-the-shelf and custom datasets for image, video, audio, text, and multimodal AI training, along with annotation and evaluation services. The company competes in the crowded AI data labeling and marketplace space against players like Scale AI, Appen, and Labelbox. Its pitch centers on ethical sourcing and compliance, a differentiator as regulatory scrutiny around AI training data increases. The company's growth appears tied to the broader AI boom, with its 65% revenue increase and high net revenue retention suggesting strong demand from enterprise customers for compliant training data.
Who buys this
- Large technology companies building foundation models and generative AI products
- Enterprise AI teams needing custom, compliant training data for domain-specific models
- Government and defense contractors requiring auditable, ethically sourced data
- Healthcare and life sciences organizations needing HIPAA-compliant datasets
- Automotive and robotics companies requiring annotated video and sensor data
Publicly disclosed clients
- Adobe
- Amazon
- McAfee
- Meta
- OpenAI
Strengths and what to watch
Strengths
- High net revenue retention (143%) indicates strong customer stickiness and expansion within existing accounts
- ISO 27001, 27701, and 42001 certifications provide a compliance advantage for regulated industries
- Publicly named clients include major AI labs and tech giants, lending credibility in a competitive market
Watch for
- Revenue growth of 65% is impressive but unverified by independent third-party audit; the company is private and does not disclose absolute revenue figures
- The AI data labeling market is highly competitive with well-funded rivals (Scale AI, Appen, Labelbox) and potential margin compression as commoditization increases
- Dependence on a small number of large clients (e.g., OpenAI, Meta, Google) could create revenue concentration risk if any reduce spending
Recent moves
Key Information
- Industry
- Data Generation & Labelling
- Founded
- 2015
Frequently Asked Questions
What is Defined.ai and what do they do?
Defined.ai is a US-based company that runs a marketplace for AI training data. It sells pre-built and custom datasets along with data annotation and evaluation services to companies training AI models. Founded in 2015, it claims to host the world's largest AI data marketplace.
Who are Defined.ai's main clients and customers?
Defined.ai's notable clients include Adobe, Amazon, Google, McAfee, Meta, and OpenAI. Its customer segments span large tech companies building foundation models, enterprise AI teams, government contractors, healthcare organizations, and automotive firms needing annotated sensor data.
What compliance certifications does Defined.ai hold?
Defined.ai is ISO 27001, 27701, and 42001 accredited. It also claims compliance with GDPR and HIPAA. These certifications provide a compliance advantage for regulated industries like healthcare and defense, where auditable and ethically sourced training data is required.
How much funding has Defined.ai raised and what is its revenue growth?
Defined.ai has raised $78.6 million in total funding as of January 2025. The company reported 65% revenue growth for 2025 and a net revenue retention rate of 143%, indicating strong customer expansion. These figures were disclosed by its VP of Finance in March 2026.
How does Defined.ai compare to competitors like Scale AI and Appen?
Defined.ai competes with Scale AI, Appen, and Labelbox in the AI data labeling and marketplace space. Its differentiator is a focus on ethical sourcing and compliance certifications, which appeals to regulated industries. However, it faces margin compression risks as the market commoditizes.
What types of AI training data does Defined.ai offer?
Defined.ai provides off-the-shelf and custom datasets for image, video, audio, text, and multimodal AI training. It also offers data annotation and evaluation services. This breadth supports diverse applications from generative AI to healthcare and autonomous driving.
Sources
- defined.ai — Company description, client logos (Adobe, Amazon, Google, McAfee, Meta, OpenAI), ISO certifications, and product offerings
- www.youtube.com — VP of Finance Teresa Lima de Andrade discloses 65% revenue growth, 143% net revenue retention, and +1,200% partner data growth for 2025
- techcrunch.com — Total funding of $78.6M as of January 2025, founded 2016, founder Daniela Braga
- aifundingtracker.com — Context on AI startup funding landscape in 2026; Defined.ai not listed in top 50 by funding