Crash testing for AI
Old compliance ticks boxes.
We check code.
AI isn’t traditional software — it’s dynamic, complex, and unpredictable. Its code carries promise but also risks and liability.
Traditional assurance wasn’t built for the age of algorithms. It’s slow, expensive, siloed, and centered on organizations — not the complex AI systems shaping their decisions.
That’s where we come in.
66%
18%
11x
Assurance and safety built for AI
Where others check once a year, we can monitor every day — turning risk into reliability and compliance into value.
With more than a decade of auditing, compliance and technical expertise, we make AI measurable, trustworthy and ready for impact.
Whether you’re a vendor seeking independent validation, a buyer guarding against risk, or a regulator enforcing safe deployment, Eticas.ai empowers you to harness AI’s benefits without compromise.
Real clients. All verticals. Real impact.





















Why Eticas
We bring unique strengths traditional assurance can’t match.
Independent
Credibility trusted by regulators, procurement, and the public.
Experienced
Assuring responsible AI deployment since 2012.
Socio-technical
Measuring both model performance and real-world impact.
Continuous
Monitoring keeps assurance valid as models learn and evolve.
Defensible
Evidence that stands up to scrutinity.
Outcome-driven
Accelerating adoption, trust and scale.
Follow our path to safe, scalable AI
Prepare
Assess your AI readiness
Assess governance structures, data quality, and risks to establish a baseline for responsible AI.
Assure
Deploy model assessment & assurance
Evaluate models for bias, explainability, and compliance, with certification where needed to prove defensibility.
Scale
Activate post-deployment monitoring
Track performance, bias, and impact with live dashboards and re-certification triggers that enable safe, scalable AI.
When AI works, everything moves forward.
When it fails, everything stops.
Success
Safe, trustworthy AI adoption
Smooth procurement
Confidence under scrutiny
Client and user confidence
Failure
Hidden harms surfacing in the wild
Costly remediation and wasted effort
Reputational impact
Legal liability
