Your governed pathto safe AI.
Rivenpath Labs builds enterprise-grade AI products and the governance layer that keeps them accountable — for teams shipping AI, and for the people who use it.
Founded May 2026 — building in the open
Built to govern what matters most
Policy-as-Code Guardrails
Express your AI policy once, enforce it everywhere. Guardrails compile to runtime checks that sit in front of every model call.
Continuous Risk Evaluation
Automated evals for bias, jailbreak resistance, hallucination rate, and drift — scored on every deploy, not once a quarter.
Audit-Ready by Default
Every prompt, decision, and override is captured as an immutable record mapped to the EU AI Act and NIST AI RMF.
Ship Without Slowing Down
Governance runs inline at the edge inside a sub-second budget. Safety stops being the thing that blocks the release.
One layer across your whole AI stack.
Rivenpath sits between your applications and your models — whichever provider, whichever cloud.
The standard we hold ourselves to
Targets we publish, measure, and report against openly.
What working with us gives you
Governance that ships with the product
Safety controls live in the same pipeline as your code, so oversight arrives with the feature instead of chasing it.
Research you can actually apply
We publish extracts from the papers we read each week, translated into decisions your team can make on Monday.
Built for B2B and B2C alike
The same governance core powers enterprise deployments and the consumer products we build on top of it.
Education as a first-class feature
Every platform we build teaches while it works, so your people get more capable with AI rather than more dependent on it.
Open about what we do not know
We publish our evaluation methodology and its limits. If a control is unproven, we say so before you rely on it.
Extracts from what we are reading
Guardrails evaluated only at deploy time miss the majority of real-world failures. Risk has to be measured continuously, against live traffic, or it is not being measured at all.
The full research programme, thesis and extracts: Read the research
Questions worth answering properly
Still unsure about something? Ask us directly — we answer every message.
We build two connected things: a governance layer that sits in front of your AI systems and enforces your policy at runtime, and consumer and enterprise products built on top of that layer. The through-line is that AI should be safe and accountable wherever it is used.
Ready to govern your AI the way you meant to?
Talk to us about putting the governance layer in front of your models, or read the research behind it.