Defined.ai Achieves ISO 42001 Certification, Strengthening Responsible AI Governance

SEATTLE, WA – 04/05/2026 – (SeaPRwire) – As global demand for trustworthy artificial intelligence systems intensifies, organizations are placing increasing emphasis on governance frameworks that ensure ethical, secure, and transparent AI development. In this evolving landscape, Defined.ai has achieved a significant milestone with its certification under ISO 42001, a newly established international benchmark for Artificial Intelligence Management Systems.

The certification underscores the company’s ability to implement structured governance across the full lifecycle of AI systems, from data sourcing and model training to deployment and ongoing monitoring. As the first global standard dedicated specifically to AI management, ISO 42001 provides a framework for addressing critical challenges such as ethical oversight, risk management, accountability, and continuous system improvement.

According to company leadership, the certification reflects the growing maturity of internal governance processes and reinforces the organization’s focus on building AI systems grounded in responsibility and trust. With AI adoption accelerating across industries, the need for high-quality data providers that also adhere to rigorous compliance and transparency standards has become increasingly pronounced.

Advancing a Comprehensive Governance Framework

In addition to ISO 42001, Defined.ai maintains certifications under ISO 27001 and ISO 27701, covering information security and privacy management systems. Together, these certifications establish a multi-layered governance structure designed to safeguard data integrity, protect user privacy, and ensure compliance with international regulations.

This integrated approach enables the company to proactively manage risk while supporting clients in building AI systems that meet both performance and regulatory requirements. It also provides assurance regarding the provenance, reliability, and ethical sourcing of the data used in AI model development.

Focus on Ethical Data and Transparency

Defined.ai’s operational model emphasizes traceability and accountability at every stage of the data lifecycle. All datasets are subject to rigorous validation processes to ensure they are ethically sourced, consented, and compliant with applicable legal frameworks.

By embedding governance mechanisms directly into its workflows, the company aims to help organizations mitigate bias, enhance transparency, and build AI systems that can be trusted in real-world applications. This approach aligns with broader industry efforts to establish responsible AI practices as a foundational requirement rather than a secondary consideration.

Industry Recognition and Market Position

Founded by Daniela Braga, Defined.ai has established itself as a prominent provider of AI training data and related services. The company operates a large-scale marketplace for ethically sourced datasets while also offering customized data solutions tailored to enterprise needs.

Its work has been recognized by major publications and industry rankings, including Forbes, Fortune, CB Insights, and Inc.. The company has also been featured in prominent lists such as the Forbes AI 50 and Deloitte Fast 100.

Headquartered in Seattle, with additional operations in Lisbon, Defined.ai has raised more than $85 million in funding and continues to expand its global footprint.

About Defined.ai

Defined.ai is a provider of ethical AI training data, offering a large-scale data marketplace alongside tailored services. The company focuses on delivering secure, bias-mitigated, and compliant datasets that support the development of reliable artificial intelligence systems across industries.