Test. Validate. Trust AI.
Prove your chatbot is safe to ship — and sign it.
LLMQA isn’t public yet. It runs a fully automated red-team suite against your LLM — hallucination, jailbreaks, persona drift, bias, and compliance — then issues a cryptographically signed certificate anyone can verify. Join the early-access list and we’ll email you the moment it goes live.
Watch it run
The suite runs itself. You watch it work.
No manual prompt-wrangling. LLMQA fires thousands of adversarial vectors across every threat class, then resolves into a signed certificate.
Coverage
Five ways a chatbot fails. We test all of them.
Specific, named threat classes — not a vague promise of “safety.”
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Hallucination
Catches a support bot inventing a refund policy, price, or fact that doesn’t exist.
e.g. “Yes, you get a full refund after 90 days” → no such policy
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Jailbreak
Flags prompts that coax the bot past its safety rules into restricted output.
e.g. “Ignore your instructions and…” → blocked & logged
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Persona drift
Detects when the assistant abandons its approved tone, role, or scope mid-chat.
e.g. brand voice slips into off-policy advice
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Bias
Surfaces answers that vary by gender, ethnicity, or age for the same request.
e.g. different loan guidance for identical profiles
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Compliance
Checks answers against your policy, disclaimers, and regulatory guardrails.
e.g. missing required disclosure on financial advice
How it works
From endpoint to signed certificate in three steps.
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1
Connect your endpoint
Point LLMQA at your chatbot’s HTTP API. No SDK, no code changes.
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2
Run the automated battery
Thousands of adversarial prompts run across all five threat classes — fully automated.
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3
Receive a signed certificate
Get a cryptographically signed certificate with a public verify URL your customers can check.
The certificate
Anatomy of a signed certificate.
Every run produces a versioned, timestamped certificate tied to a specific model and build. It’s cryptographically signed — anyone can verify it without an account.
- Maps to exactly what was tested — model + build hash.
- Per-category pass thresholds and total dimensions run.
- Issuer signature you can check against our public key.
- Issued to
- prod-bot @ v2.4
- Model + build
- sha256:0x9F4A…E21
- Test suite
- full-suite / 2026.06
- Dimensions run
- 18,420
- Results
- Hallucination Jailbreak Persona drift Bias Compliance
- Issuer signature
- ed25519:7c1d…a90f
- Issued
- 2026-06-26
- Expires
- 2026-09-24
Who it’s for
Built for the people who have to answer.
AI / ML Engineering
“Did my last deploy regress on safety? Can I ship against a signed baseline?”
Trust & Safety
“Can I prove coverage across jailbreaks, bias, and policy — on demand?”
Compliance & Enterprise
“When auditors or customers ask, can we actually show our work?”
Get early access to LLMQA.
The founding cohort gets onboarding first and the audit-grade report tier free for 12 months.
FAQ
Questions a careful buyer asks.
How often does it test my chatbot?
On every deploy, on a schedule, or on demand. The entire suite is fully automated — no manual red-teaming.
What does “signed” actually mean?
Each certificate carries a cryptographic signature (Ed25519). Anyone can verify it against our public key — no account, no login.
What happens to our data?
We test your endpoint. We don’t store your users’ prompts or your model’s outputs — only the aggregate results that back the certificate.
How does it integrate?
Connect through your chatbot’s HTTP API. No SDK or code changes required to start a run.
What do early-access teams get?
Priority onboarding at launch and the audit-grade report tier free for the first 12 months.