AI agents are making decisions at scale. Someone should be watching.
Prüfer is a runtime AI governance platform. We give enterprise teams the tools to inspect, enforce, and audit every action their AI agents take, before the agent acts, not after.
Our Vision for AI Safety
The AI industry is moving fast. Enterprises are deploying fleets of autonomous agents — making financial decisions, handling patient data, managing infrastructure, writing code. Most of these agents operate without any governance layer. No audit trail. No policy enforcement. No way to prove to a regulator that the system is under control.
We believe AI safety isn't a feature you add later. It's infrastructure that needs to exist from day one. Prüfer is that infrastructure: a real-time governance engine that sits between your AI agents and the actions they take, enforcing your policies deterministically and logging every decision for compliance.
Our position is simple — if you can't explain what your AI did and why, you don't have governance. You have hope. Prüfer replaces hope with evidence.
What We Stand For
Inspect Every Decision
Every action an AI agent takes passes through Prüfer's enforcement engine — evaluated, logged, and auditable in real time.
Trust Is Earned, Not Assumed
Agents start unverified and build trust through a transparent scoring system. Higher trust unlocks higher-risk actions. No shortcuts.
Governance at Runtime, Not After the Fact
Policies are enforced before an agent acts — not retroactively. Block, allow, or escalate in under 50ms.
Human Oversight, Always
Prüfer never removes the human from the loop. High-risk decisions are escalated to human reviewers with full context and reasoning.
What We Build
Enforcement Engine
Deterministic, policy-based decision engine. Define rules in plain English or YAML — Prüfer evaluates them against every agent action in real time.
Fleet Management
A single control plane for your entire AI agent fleet. Register agents, assign archetypes, enforce policies, and monitor behavior across organizations.
Trust Scoring
A six-tier trust system that tracks agent reliability over time. Trust scores gate what actions an agent can take — and can only be downgraded, never inflated.
Compliance Automation
Pre-built mappings to 15+ regulatory frameworks including the EU AI Act, NIST AI RMF, SOC 2, ISO 42001, HIPAA, and GDPR. Audit-ready evidence generated continuously.
Our Story
The Question
Prüfer started with a simple question: who is watching the AI agents? Enterprises were deploying autonomous systems with no inspection layer — no audit trail, no policy enforcement, no accountability. We set out to change that.
Deterministic Governance
We built a runtime enforcement engine that evaluates every agent action against policy — deterministically, in under 50ms. No probabilistic guessing. Block, allow, or escalate with full audit trails.
Fleet-Scale Operations
Single control plane for entire AI fleets. Trust scoring, SDK integrations across Python and JavaScript, compliance automation for 15+ regulatory frameworks, and multi-tenant fleet management for enterprise teams.
The Road Ahead
Industry-specific governance fleets, learning agents that improve with feedback, native integrations with enterprise data platforms, and cross-fleet trust inheritance.
See It in Action
Try the governance engine yourself, or talk to us about how Prüfer fits your compliance requirements.