Solving trust
Catch your AI's security, bias, and compliance risks before they ship — managed evaluations that run right in your workflow, with the audit trail to prove it.
Free to start · No card required · First scan ready in minutes
Drive it from your agent
Connects to your stack
Get started in minutes.
Three steps from first connection to audit-ready evidence.
1.
Connect your AI system
Point an agent at the REST API or MCP server, link a GitHub repo, or add it by hand — whatever fits your stack.
2.
Neo maps and scans it
A live knowledge graph of infrastructure, governance, documentation, and risks.
3.
Run managed evaluations
Trigger security, bias, and compliance checks — with the audit trail to prove it.
Free to start, no card required — first scan ready in minutes.
Every evaluation, one run away.
17 managed evaluations across 5 categories — versioned, reproducible, and audit-ready.
3 findings · 1 critical.
Prompt injection on /predict.
Powered by Holistic AI, trusted by the world's most innovative companies.
Notes from the team.
Engineering write-ups, product changelogs, and notes on the regulations we're implementing against.
View all posts →20 May 2026 · 5 min
Every quarter, a new evaluation
How we decide what to add to the catalog next — weighing community requests, regulatory deadlines, and state-of-the-art research.
Read post →22 Apr 2026 · 8 min
Shipping the EU AI Act audit, agentically
How we mapped Articles 9, 11, 14, and 17 to runnable controls — and what we learned letting an agent close them.
Read post →14 Mar 2026 · 6 min
Model cards as source of truth, not afterthought
Versioned, peer-reviewed, and the canonical input to every audit. Why we made model cards a first-class object in the platform.
Read post →
Ship AI you can stand behind.
Free to start, no card required. Upgrade when you need more runs or seats.