PsiGuard monitors every AI response in real time — scoring behavior, detecting drift, and intervening before unreliable output reaches your users.
PsiGuard is not a passive after-the-fact scorer. It's not just a dashboard. It watches both the prompt going in and the model behavior coming out — scoring trajectory in real time.
Every AI response is evaluated across four behavioral dimensions as it streams — before it reaches your users. No post-processing delay.
PsiGuard identifies the cognitive patterns that precede hallucinations — rising entropy, coherence drops, identity drift — and flags them in real time.
When thresholds are crossed, PsiGuard can modify, flag, or block a response before it reaches your end user. Not just alert — act.
Every response gets a full cognitive score export — coherence, drift, entropy, stability — suitable for compliance review and incident analysis.
PsiGuard monitors the output, not the internals. Drop it in front of any LLM — OpenAI, Anthropic, Gemini, fine-tuned models, local deployments.
Analysis runs in parallel with the response stream. Your users never wait. You see metrics updating in real time as the response generates.
Companies running AI in production — in legal, finance, healthcare, customer service — cannot afford to find out about hallucinations after the fact.
Fabricated citations, invented data, and confident wrong answers are not edge cases. They're a pattern.
Nearly half of organizations using AI in decisions have been materially misled by fabricated output.
Human review is not a scalable safety strategy. PsiGuard is the layer between your AI and the output your team trusts.
Monitoring runs in parallel. Your AI doesn't slow down. PsiGuard just makes sure what it says is worth trusting.
Enterprise evaluators get a dedicated sandbox account. Your test data never touches production. Your IP stays yours.
Fill out the form below. We provision a dedicated sandbox evaluation account — a separate, isolated environment scoped entirely to your UID. Your evaluation data never touches production accounts.
Point PsiGuard at the AI model you're already using — OpenAI, Anthropic, Gemini, or your own endpoint. No infrastructure changes required. Setup takes under five minutes.
Use our published Evaluation Protocol and Adversarial Prompt Library — 40+ prompts across 8 attack categories with a structured setup guide, MVE prompt selection table, and results documentation template. Run them with and without PsiGuard active. See the difference in real time.
Every response in the evaluation session is exportable with full cognitive metric scores. Share results with your security, compliance, or engineering team for review.
Once you've seen PsiGuard in action, we'll work with you on integration scope, SLA requirements, and deployment model — including on-premises options for regulated industries.
What evaluators see
PsiGuard accounts are fully scoped by UID in Firestore. There is no cross-account data access, no shared caching layer, and no aggregation that includes your evaluation data. Evaluation accounts are additionally tagged at the account level so data is explicitly segregated from production.
We store conversation history and metric snapshots. We never share your data with third parties. We never use it to train any models. Export your data or delete it at any time.
📄 Read the full Data Handling FAQ →We provision sandbox accounts manually. Fill this out and we'll be in touch within one business day.
No commitment required. This is just how we set up your evaluation environment.
We'll respond within one business day with your sandbox credentials and a brief onboarding call invitation. No credit card required.