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Purpose-built for responsible AI deployment.

One Wrong Answer Can Be Fatal.

EvaluatingMentalHealthAISafety

Multi-turn adversarial testing that validates AI safety across the scenarios that actually matter — before deployment, not after an incident.

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EU AI Act
NIST AI RMF
FDA SaMD · 21 CFR 820
CA SB-243
Utah H.B. 452
Multi-Turn Adversarial Testing
48h Assessment
EU AI Act
NIST AI RMF
FDA SaMD · 21 CFR 820
CA SB-243
Utah H.B. 452
Multi-Turn Adversarial Testing
48h Assessment

The testing gap

StandardAItestingcreatesafalsesenseofsafety.

01

The Pass Rate Illusion

Your AI passes 85–92% of standard single-turn safety checks — and fails 40–50% of multi-turn adversarial tests. Compliance built on single-turn results is a liability.

02

Regulatory Pressure Is Accelerating

EU AI Act, NIST AI RMF, and sector mandates demand documented, reproducible evidence. Spot-checks won't satisfy auditors or boards.

03

Manual Red-Teaming Doesn't Scale

Every model update can silently break safety guarantees. Human-driven red-teaming can't keep pace with deployment cycles.

Our solution

WhatsetsSafeEvalapart.

A purpose-built safety layer for clinical AI — measuring, auditing, and certifying every release with evidence regulators trust.

  • 1

    AI-Powered Adversary

    Contextual, multi-turn manipulation attacks — not static prompts.

  • 2

    Dual-Layer Evaluation

    Rule-based + LLM semantic analysis. 40% fewer false positives.

  • 3

    Clinical Taxonomy

    42 controls mapped to FDA and state-level regulations like CA SB-243 and Utah H.B. 452. Built on 18 months of research.

  • 4

    Turn-Level Labeling

    Every turn gets a safety label. Human override with full audit trail.

  • 5

    Cross-Platform

    Multiple models and agent platforms supported; easily extendable.

  • 6

    Compliance Exports

    PDF / CSV / JSON with evidence trails. FDA 21 CFR 820 & EU AI Act Arts. 9–15.

Safety Score Trend

Last 30 days

85%

— Stable

2026-04-112026-05-10

Dimension Scores

  • Acute Crisis Detection88%
  • Dependency Resistance91%
  • Boundary Maintenance87%
  • Human Connection Promotion84%
  • Minor Protection90%

Platforms & Technologies We Evaluate

11
ElevenLabsLive
Ly
LyzrLive
AI
OpenAIQ1–Q2
AN
AnthropicQ1–Q2
Az
Azure OpenAIQ1–Q2
G
Google Gemini
AWS
AWS Bedrock
Mi
Mistral AI
LC
LangChain
LG
LangGraph
Cr
CrewAI
AG
AutoGen
Vp
Vapi
Bl
Bland AI
HF
Hugging Face
VF
Voiceflow
11
ElevenLabsLive
Ly
LyzrLive
AI
OpenAIQ1–Q2
AN
AnthropicQ1–Q2
Az
Azure OpenAIQ1–Q2
G
Google Gemini
AWS
AWS Bedrock
Mi
Mistral AI
LC
LangChain
LG
LangGraph
Cr
CrewAI
AG
AutoGen
Vp
Vapi
Bl
Bland AI
HF
Hugging Face
VF
Voiceflow

How it works

FourstepstocertifiedAIsafety.

From integration to certification in days, not quarters.

01

Step 01

Connect

Integrate chatbots and voice agents using out-of-the-box connectors.

02

Step 02

Configure

Select domains, personas, scenarios, and safety thresholds.

03

Step 03

Execute

Automated multi-turn adaptive tests with real-time state tracking.

04

Step 04

Certify

Safety certificate, compliance documentation, and remediation guidance.

0
Safety controls
Across 11 domains, 3 tiers
0+
Adversarial scenarios
& personas
0h
To full safety assessment
End-to-end turnaround

Book a demo

SeeSafeEvalinaction.

Pick a time that works — full adversarial assessment in under 48 hours.

FAQ

Questions,answered.