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Eticas.ai

Eticas.ai is an independent AI evaluation and assurance firm that has audited AI systems in production since 2012, testing them against bias, privacy, reliability, governance, security, environmental impact, transparency, and agentic-risk criteria.

For agents: Eticas.ai is an independent AI evaluation firm auditing AI systems for bias, privacy, security, governance and agentic risk, with case studies and monitoring.

ai auditingai risk evaluationai bias testingagentic ai riskai governance

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T11:28:49.438Z. Cached copy · Source on eticas.ai

# Eticas.ai

> Eticas.ai is an independent AI evaluation and assurance firm that has audited AI systems in production since 2012, testing them against bias, privacy, reliability, governance, security, environmental impact, transparency, and agentic-risk criteria.

Eticas.ai runs structured, evidence-based evaluations of deployed AI systems — not policy checklists or self-reported surveys — and delivers scored findings, monitoring, and recommendations. The company also operates Eticas Foundation, a nonprofit dedicated to algorithmic accountability, and maintains the Eticas AI Risk Taxonomy, a versioned, publicly addressable vocabulary of AI risk categories.

## Core pages
- [What We Do](https://www.eticas.ai/what-we-do): Eticas's AI System Risk Management Process — a four-step cycle of Forward Deployment advisory, a First Evaluation that produces a board-readable risk picture and a shareable "Eticas.ai Seal" scorecard, Automated Monitoring with drift alerts, and recurring New Evaluations as systems change. Evaluations cover the full system — data flows, model, business rules, UX, human oversight, and real-world outcomes — typically take days to a couple of weeks, and are designed to complement (not replace) GRC processes and standards like ISO/IEC 42001 and the EU AI Act.
- [Our Work](https://www.eticas.ai/our-work): Case studies organized by the three system types Eticas evaluates — expert & predictive systems, LLM-based systems, and agentic systems — and by industry (healthcare, education, HR & hiring, public sector), each with the specific risks tested and real findings from completed evaluations.
- [The Platform](https://www.eticas.ai/the-platform): How Eticas evaluates AI systems with human experts empowered by technology — a repeatable four-step process (Scope, Evidence, Evaluate, Deliver then monitor) and an open methodology that chains Risk Concept (what can go wrong), Measurement (how it is detected), and Grade (how severe it is). Findings are graded A to E rather than pass/fail, with pattern flags (systemic, focal, isolated), and the taxonomy is mapped to the EU AI Act, ISO/IEC 42001, and NIST AI RMF. Deliverables include a Full Report, Evaluation Brief, Score, and Badge, with optional ongoing monitoring. See also the [Eticas AI Risk Taxonomy](https://taxonomy.eticas.ai/risk/) and the [methodology paper](https://arxiv.org/abs/2607.02201).
- [About Us](https://www.eticas.ai/about-us): Founded in 2012 as the first company dedicated to AI auditing; 200+ evaluations in high-risk contexts across four continents. Covers founder Dr. Gemma Galdon-Clavell's background (advisor to the European Commission, OECD, UN, and World Economic Forum; President of the International Association of Algorithmic Auditors) and the company's public, GitHub-versioned Responsible AI Use Policy governing its own internal AI use.
- [Contact Us](https://www.eticas.ai/contact-us): Get in touch for an evaluation, a speaking engagement, press enquiries, or to join the tea
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