AI is moving fast. Your guardrails should move faster.

For companies building with AI who worry about safety and compliance, we provide a platform that catches issues before launch, limits what agents can do, and provides clear reports your leaders and customers can trust.

One policy and evidence layer for Amazon Q, Gemini, Bedrock, OpenAI, self-hosted models, and more.

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CI safety gate

Run industry benchmarks on every PR and fail builds on regressions.

Runtime guardrails

Least-privilege tools, domain allowlists, and PII/secret redaction.

Evidence layer

Governance-aligned scorecards for execs, regulators, and customers.

Questions we hear

Will this slow us down?

Fast-path checks add single-digit milliseconds. Heavy checks run async or on samples with budgets.

Does it work with managed assistants?

Yes. We harden ingest, configure guardrails, enable logs, and run API-level evals for Amazon Q Business and more.

How does pricing work?

Open-core for local runs. Paid cloud for scorecards, evidence retention, and the runtime gateway.

Where do we start?

Begin with the CI gate on one service. Add the runtime gateway for high-risk tools, then roll out RAG safety packs.

Request early access

Tell us a bit about your use case. We will follow up within a few days.

Email us directly at den569@g.harvard.edu with your company, role, and use case.