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Evidence-based AI auditing, grounded in real-world testing.


Eticas.ai is a global company that evaluates and monitors AI systems in production, auditing not just the model but the full system: data flows, business rules, human oversight, and real-world outcomes.

Founded in 2012 by Dr. Gemma Galdon-Clavell, we've spent over a decade working with private and public sector organizations across the EU and the US to turn AI accountability from a stated principle into verifiable evidence — grounded in real-world testing rather than benchmarks alone.

We evaluate:

  • Expert & Predictive systems
  • LLM-based systems
  • Agentic AI

...focusing on the failure modes that most affect real-world deployments.

Open source

Eticas AI Risk Taxonomy repository tracks the ongoing evolution of the open framework behind our methodology, introduced in The Eticas AI Risk Taxonomy: Open Infrastructure for Operationalizing AI Audits.

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What we do Our work About us

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  1. ai-risk-taxonomy-public ai-risk-taxonomy-public Public

    Eticas AI Risk Taxonomy: Open, machine-readable AI risk taxonomy mapped to the EU AI Act, NIST AI RMF, ISO/IEC 42001, and 15+ other frameworks.

    4

  2. itaca itaca Public

    An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.

    Python 18 1

  3. itaca-api itaca-api Public

    REST API wrapper for ITACA (AI fairness auditing) with Keycloak integration.

    Python

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