When the regulator asks how you know your AI is behaving, what do you hand them?
AI Assess Tech is the runtime behavioral assurance layer for deployed AI — independent, continuous, cryptographically verifiable. The evidence your board, your auditor, and your customers can verify without trusting you.
Who This Is For
Every buyer has a different question. Find yours.
“Is Your AI a Liability?”
What's our exposure?
Learn more“Pre-Flight Checklist for AI”
How do I gate a deployment?
Learn more“Ship AI Your Customers Trust”
How do I turn compliance into conversion?
Learn more“The Audit Trail That Proves It”
How do I answer the auditor?
Learn more“AI That Passes the Hippocratic Test”
First, do no harm — verified
Learn more“Fiduciary AI Assessment”
Duty of care, verified
Learn moreThree Things We Do at the Runtime Layer
Pre-deployment benchmarks measure capability. Output guardrails react after the fact. The runtime layer is where behavior matters.
AI Preflight™
Runtime Assessment — Measure It
120-question behavioral assessment. Provider-agnostic via callback. Server-controlled config — your API keys never leave your environment.
npm install @aiassesstech/sdkAI Assess Certify™
Runtime Attestation — Prove It
Every result sealed with SHA-256 hash chain, anchored to Ethereum. Tamper-evident proof auditors verify independently. Public trust portal — no login required.
AI Assess Fleet™
Runtime Governance — Keep It True
Autonomous conscience agent (Grillo™) monitors deployed AI continuously. Drift detection, graduated alerts, separation of powers. Constitutional governance at scale.
Behavioral governance for physical AI and robotic systems.
Don't Trust Us. Verify.
Every claim below has a specific identifier and a link to independent verification.
Live verification example
See it working right now
Question bank locked at Ethereum block 24,186,282
Fleet evidence at block 24,467,724
14 patents pending across 6 U.S. provisional filings
63/949,454 · 63/985,442 · 63/988,410 · 64/037,569 · 64/051,065 · 64/070,283
2 IEEE peer-reviewed papers (ICAISET 2026, Bahrain)
Responsible AI Horizons + The Yellow Brick Road to AGI
6-agent governance fleet in production
Grillo, Noah, Mighty Mark, Jessie, Sam, Nole
SDKs published
npm install @aiassesstech/sdk · pip install aiassess
Archetype discriminability scores 10.9–66.94
IEEE peer-reviewed behavioral archetype separation in 4D LCSH space
Production since February 2026
Deployed on Vercel + Hetzner VPS
Where We Sit
Runtime behavioral assurance is a new category. Here's how it relates to what you already know.
| Category | Representative Players | What They Do | Relationship |
|---|---|---|---|
| Frontier Model Labs | Anthropic, OpenAI, Google DeepMind, Meta | Training-time alignment and internal red-teaming | Complement |
| AI Governance Platforms | Credo AI, Holistic AI, and others | Policy documentation and compliance workflow tooling | Adjacent |
| Observability / APM | Datadog, Dynatrace, New Relic, Arize | System and LLM observability, performance monitoring | Complement |
| AI Control and Compliance Suite | AI Assess Tech (GiDanc AI) | Continuous independent behavioral assessment of deployed AI with tamper-evident attestation | Our Position |
“They answer the CISO's question — is our AI secure? We answer the regulator's question — can we prove accountable governance?”
Landscape as of May 2026. Category boundaries are approximate and evolving.
Ready to Start?
Three paths, depending on where you are.
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Create an account and bring your own API key. Assess your AI's behavioral profile in minutes.
Create AccountRead the Docs
SDK reference, methodology, integration guides, fleet architecture.
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Enterprise deployments, design partnerships, and custom assessments.
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