The first. Still the best.
Pioneering AI audits and evaluations since 2012. Socio-technical team. 200+ evals in high-risk contexts. Trusted by AI safety pioneers. Committed to solving real-life problems.
AI is reshaping how organizations make decisions — about people, about risk, about opportunity. But most teams shipping AI today know something they don't always say out loud: they're not sure it works the way it should, especially in their clients’ context. The models are complex, the stakes keep rising, and the gap between what AI promises and what it delivers is where real damage happens.
That gap is where we've worked for over a decade.
Eticas was founded in 2012, long before AI accountability had a name. Under the leadership of a pioneering socio-technical team that thrives on building bridges between data, engineering, compliance and impact, we have conducted hundreds of AI audits and evaluations — across hiring systems, public safety tools, financial models, content platforms, and more. We have worked in 4 continents and multiple languages, for clients large and small, always obsessed with providing value, solving real problems and building capacity. Our auditing track record is unmatched, and it is the foundation of everything we offer: not because we claim expertise, but because hundreds of real-world engagements built it.
That depth is what sets us apart as an AI safety and accountability partner. While most of the industry focuses on evaluating models in controlled lab settings, we evaluate AI where it actually matters: in production, embedded in complex supply chains, affecting real people and real decisions. Benchmarks in a sandbox tell you what a model can do in theory. We show you what your AI system is actually doing in practice.
We don't just flag risks — we help organizations evaluate, assure, and improve their AI systems so they can deploy with confidence. Our socio-technical team understands the code and the context, the algorithm and the affected community, the regulation and the business case. We've worked with governments, international organizations, and companies navigating the highest-risk systems in operation today.
Our story is one of doing what is right and what is useful — often before there was a framework, a standard, or a market for it. The rigor of our work, the trust of our clients, our role in shaping policy, and our commitment to the broader ecosystem through the Eticas Foundation all reflect the same conviction: AI done well requires more than good intentions. It requires evidence.
We provide it.
A decade of impact across continents
Our Founder and CEO
Gemma Galdon delivers the closing keynote at DLA Piper European Technology Summit.
Dr. Galdon-Clavell often defines her work as "building the seatbelts of AI." The analogy is deliberate: seatbelts are credited with saving more lives than almost any other innovation after penicillin — and they didn't stop cars from being exciting. They made them safer for everyone. Current AI systems, she argues, are like cars without seatbelts or brakes: hitting the market without the safeguards or standards to ensure they do what they promise.
She has spent over a decade turning that conviction into practice. Since founding Eticas in 2012 as the world's first company dedicated to AI auditing, she has led hundreds of AI evaluations across healthcare, public safety, hiring, financial services, and content platforms — building what is widely recognized as the deepest real-world auditing track record in the field. Her landmark work includes pioneering guidance for governments and regulators, including the Checklist for AI Auditing commissioned by the European Data Protection Board, the first independent evaluation of Spain's VioGén domestic violence risk-scoring system, the Responsible AI Assessments Guide published by Deutsche Gesellschaft für Internationale Zusammenarbeit and the first Guide to Algorithmic Auditing, commissioned by Spain's Data Protection Agency.
She is a trusted advisor to the European Commission, the OECD, the United Nations, and the World Economic Forum. In 2023, she co-founded and became President of the International Association of Algorithmic Auditors, the first professional body setting standards and certification for the AI auditing profession.
A sought-after keynote speaker, she has delivered keynotes at high-level policy events like the EU-US Trade and Technology Council (TTC) alongside Anthony Blinken and Margrethe Vestager (2024), at large corporate gatherings, most recently the DLA Piper European Technology Summit (alongside speakers from Google, NVIDIA, IBM, and ASML), won best pitch at TechCrunch Disrupt, and has spoken, among many others, at Web Summit, the Brussels Economic Forum, Mobile World Congress, and the Sorbonne Center for AI. The BBC named her one of its "people changing the world." Her insights have been featured in Forbes, Nature, Wired, and Al Jazeera.
She holds a PhD in Technoogy Policy and Social Sciences (cum laude) from the Universitat Autònoma de Barcelona. She is an Ashoka Fellow, a Mozilla Rise25 honoree (2024), and a member of the AI Ethics Board at Northeastern University. Her peer-reviewed research has been published in Ethics and Information Technology, Science and Public Policy, and proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.
LinkedIn · Wikipedia · Speaker profile · Publication
Our Responsible AI Use Policy
We audit AI systems for a living. That means we understand, from the inside, the architectures, training data, failure modes and governance gaps that determine whether an AI system is safe, fair and fit for purpose. But we do not just advise organizations on responsible AI: we run our own operations on it.
This policy exists because we hold ourselves to the same standard we apply to the organizations we audit with no exceptions or lower bar. We are early adopters of enterprise AI. Our entire team works daily inside a governed AI environment, our audit platform is AI-assisted, and our content workflows are designed around human-AI collaboration. This document does not describe where we intend to get to. It describes what we are already doing and how we keep ourselves accountable for it -publicly.
We organize our responsible use of AI around three working policies:
When we use AI in our internal processes
When we create content with AI
When we use AI in our audits and evaluations
This policy is reviewed periodically and updated to reflect advances in AI capabilities, shifts in the regulatory landscape (including the EU AI Act’s transparency obligations) emerging governance standards, and lessons learned from our own evaluations.
We acknowledge that this policy is self-reported. To hold ourselves to it, this policy is maintained as a public document on our GitHub, where the full version history is visible to anyone. Every change is logged, attributed and dated, so our commitments are not just stated, they are traceable over time. Clients, collaborators and the public are welcome to raise questions about our AI practices directly at info@eticas.ai.
Let’s talk
And start the conversation about safe, scalable AI.
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Through our nonprofit initiatives, we work to ensure AI systems respect human rights, foster transparency, and serve the public good.
If you share our mission or simply want to make a difference in the world of AI, we invite you to partner with us and be part of this transformative journey.
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