Select a control
The monitor is the public surface: concise outcomes, evidence paths, and a controlled-disclosure boundary.
PRAEFEX
Proof-backed AI governance and efficiency infrastructure for evidence preservation, governed decisions, measured claims, and controlled disclosure.
PRAEFEX
Active internal deployment · Pre-commercial enterprise evaluation
GOVERNED COMPUTE
Enter one continuous system: racks, port, current, memory, operator, and evidence surface.
EMPIRICAL CONTROL SURFACE
Govern, secure, and optimize without exposing internal mechanisms.
The monitor is the public surface: concise outcomes, evidence paths, and a controlled-disclosure boundary.
CONTROLLED EVALUATION
Praefex is a proof-backed AI governance and routing system focused on reliability under load, tamper-evident receipts, and measured claims. It helps enterprise governance, security, risk, compliance, and AI infrastructure teams preserve evidence, govern decisions, and reduce unsupported AI action.
Praefex is designed to require governed validation before decisions enter the committed record, giving reviewers a clearer path from output to accountable action.
Tamper-evident receipts preserve the decision trail so reviewers can inspect what was accepted, why it was accepted, and which checks were applied.
Persistent operational memory helps AI work carry verified context forward instead of restarting from an invisible blank slate every session.
Unsupported decisions are designed to stay out of the governed record; consensus reduces single-node failure and manipulation risk.
PICA CONTROL PLANE
PICA is the Praefex Integrated Control Arm: a reference operator surface for configuring verification depth, containment posture, consensus policy, routing behavior, and audit-chain controls across governed AI workflows.
PICA shows the operating model for smaller deployments and technical review. Enterprise deployments can integrate the governance layer through private services, APIs, audit exports, and customer-owned dashboards.
MEASURED INTERNALLY, SCOPED HONESTLY
In validation cycles where the 27B baseline was healthy, the code-aware policy typically used about 37–39% less compute-proxy at identical 18/18 correctness. This is an internal 18-task benchmark using compute-proxy, not measured production energy. Cycles where the 27B baseline was unhealthy are excluded from this comparison.
A scoped internal GPU-energy benchmark, methodology, raw artifacts, measurement records, hardware notes, task conditions, known limitations, and replication status are available to qualified reviewers under NDA.
AI GOVERNANCE FAQ
AI decision governance is the control layer that determines whether an AI output can become an accepted decision. It covers validation, provenance, audit trails, escalation, and blocking unsupported outputs before they commit.
A verifiable AI decision is a decision with a preserved record of what was decided, why it was accepted, what evidence supported it, and which checks were applied before commitment.
A tamper-evident AI audit trail is a record where later alteration is detectable. Praefex uses this framing deliberately: it does not claim alteration is impossible or permanent.
No. Consensus and validation reduce single-node failure and manipulation risk, but they are not proof that every statement is factually correct. Praefex is designed to block unverified decisions from committing and preserve evidence for review.
Praefex is validating quality-gated routing that sends work to the right model path while preserving answer standards. Efficiency claims must state the benchmark, baseline, and measurement type.
Yes. Praefex can provide methodology, receipts, and scoped validation materials under NDA for qualified technical, investor, or enterprise evaluation.
LIMITED EVALUATION
Praefex is in active internal deployment and pre-commercial enterprise evaluation. We are opening a limited number of conversations with security, compliance, governance, and infrastructure teams evaluating AI decision control.