AI Governance —Certified Data for Safer AI Workflows
Defined.ai is an ISO 27001, 27701 and 42001 certified AI data and services provider, independently audited for AI governance, information security and data provenance. We deliver consent-based, bias-documented AI training data that helps enterprise teams build responsible AI with lower compliance risk in regulated industries including healthcare, banking and automotive.
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Secure AI—Our Certifications and Compliance Framework
Customers choose Defined.ai because we meet—and help define—the highest standards in secure, responsible AI development.
ISO 42001
AI Governance Management System
ISO 27001
Information Security Management System
ISO 27701
Privacy Information Management System (GDPR-aligned)
GDPR Compliance
Strict data protection, residency and data transfer and impact assessment frameworks
CPPA and CPRA
Strict privacy‑by‑design program with strong consent, transparency, and security controls across all processing activities.
HIPAA and BIPA aligned Data Environments
Support for regulated healthcare data
Built on Ethics. Backed by Compliance. Driven by Responsible AI.
At Defined.ai, trust isn’t an add-on, it’s our foundation. For your business, that means clearer compliance signals, easier internal review, and AI data and services built for auditability, privacy, and governance from the start.
We power the world’s most advanced AI systems with data that is ethically sourced, fully compliant, auditable, and aligned with global regulations. In an era where AI risk, bias, and regulatory exposure are escalating, we set the standard for responsible AI development—since 2024, we've contributed to 100+ government, academic, and industry events shaping how society defines it.
How Defined.ai Ensures Machine Learning Governance — and How Others Compare
See how Defined.ai supports AI governance, compliance and data provenance across the areas that matter the most to enterprise teams.
AI Governance, Risk Management & Standards Alignment
End to end AI governance and readiness aligned with the NIST AI Risk Management Framework and EU AI Act–ready, supported by ISO 27001, 27701, and 42001 certifications, GDPR compliance, security, provenance, and auditability.
A Message From Our Founder
At Defined.ai, trust is the foundation of everything we build. In a fast-moving AI industry, we believe innovation without responsibility is not sustainable. Our customers rely on us for one of the most critical components of their AI systems: data, and that comes with a profound responsibility. From ethical data sourcing and strong privacy protections to rigorous security controls, transparent governance, and compliance with leading international standards, we are committed to ensuring integrity across every part of our platform. We believe high-quality AI can only be built with high-integrity data. As AI becomes more deeply embedded in society, trust will be the true differentiator. At Defined.ai, we remain committed to building AI the right way: securely, ethically, and responsibly.
Our Ethical AI Manifesto
AI Built for Good. Data Built with Integrity. Progress Built on Trust.
At Defined.ai, we believe that AI must be developed responsibly, with respect for people, protection for privacy, and a commitment to building technologies that elevate society. Our Ethical AI Manifesto defines the principles that guide every decision we make, from how we source data to how we influence global policy.
This is more than a philosophy—it’s our operational blueprint.
AI Vendor Due Diligence—Our Partner Vetting Process
Trust is not just something we build internally. It’s something we demand from every partner in our ecosystem and for any data or service provided to us. Our Partner Vetting Process ensures that every organization we work with adheres to the same ethical, compliance, and security standards we uphold. This protects your company and projects from customer-facing regulatory and privacy issues as well as risks hidden in data or workflows. The result is a safer, more transparent and fully governed vetting process, from verifying data provenance, lineage and AI training consent to monitoring the IP custody chain.
Why Data Provenance Matters for Customers
Eliminating Regulatory and Reputational Risk
Unchecked or non compliant data sourcing introduces significant exposure under GDPR, HIPAA, the EU AI Act, and emerging U.S. AI regulations. Our partner standards ensure you never inherit hidden liabilities from unknown data origins, scraping, or unverified workforces.
Ensuring Ethical, Consent-Driven Data Collection
Our customers rely on us not just for quality but also for values. We require every partner to follow strict ethical sourcing practices, including explicit consent and fair compensation. This guarantees that your models are trained on data that respects human rights and avoids bias-amplifying practices.
Guaranteeing High Quality, High Fidelity Data
Partners must meet stringent process, QA, and documentation expectations before contributing data or services. This ensures your AI outputs are accurate, safe, and trustworthy.
Enhancing Security Across the Entire Supply Chain
Weak links create vulnerabilities. We enforce enterprise-grade security controls across all partners so your sensitive data, projects, and workflows remain protected end to end.
AI Governance FAQs
ISO 27001 is the international standard for information security management. It certifies that an organization's systems, processes and controls for protecting data meet independently audited requirements. For an AI data provider, it means your datasets, contributor data and client information are governed by certified security controls. Defined.ai is ISO 27001 certified.
ISO 27701 is the international standard for privacy information management. It extends ISO 27001 by defining how organizations collect, process and protect personal data in line with regulations such as GDPR. For an AI data provider, it means contributor data, consent records and personal information are governed by independently audited privacy controls. Defined.ai is ISO 27701 certified.
ISO 42001 is the world's first international standard for AI Management Systems, introduced in December 2023. For an AI training data provider, it means undergoing an independent third-party audit of how data is sourced, annotated and governed across the full AI data lifecycle. Defined.ai holds this certification — one of the first AI training data providers globally to do so.
Data provenance is the documented record of where data comes from, who created it, what consent was given and how it has been processed. For AI training data, provenance is critical because regulators, enterprise buyers and legal teams increasingly require auditable evidence of data origin. Defined.ai documents provenance for every dataset: contributor consent, data lineage, demographic coverage and bias assessment records.
Defined.ai’s approach to data provenance is built around documentation, traceability and governance across the data lifecycle. This includes maintaining records around where data comes from, the basis for contributor consent, how data is processed, and the controls used to govern quality and risk. This is reinforced by our certified management systems, ethical sourcing approach, and partner vetting process. For enterprise buyers, that means stronger auditability and clearer evidence to support internal review, especially when provenance, consent and lineage are critical decision factors.
Defined.ai provides a free AI Governance Pack including: . Request via the contact form or download directly on this page.
Yes. Defined.ai's data collection, contributor consent and processing practices are GDPR compliant. This includes an assigned Data Protection Officer; a dedicated on-site privacy team; a comprehensive privacy program; and ISO 27001, 27701 and 42001 certifications.
The EU AI Act requires organizations deploying high-risk AI systems to use training data that is documented, bias-assessed and provenance-tracked. Defined.ai's ISO 42001 certification directly addresses these requirements, covering data quality governance, provenance documentation and bias mitigation. Enterprise buyers using Defined.ai data for high-risk AI applications have independently audited evidence of compliance.