EDUCATION AND RESEARCH

Governance-native AI infrastructure for universities, research labs, and academic integrity

Constitutional Runtime

Who this is for

University administrators, research offices, IRB and ethics review boards, principal investigators, academic integrity officers, and grant compliance teams operating where AI use has scholarly, ethical, or funding consequence. If your institution reviews, funds, publishes, or credentials on the basis of AI-touched work, the governance surface must sit upstream of the model, not beside it.

  • University research offices and vice-provosts for research
  • IRB, IACUC, and research ethics review boards
  • Academic integrity offices and dean-of-students teams
  • Principal investigators and lab directors handling regulated data
  • Grant compliance, sponsored programs, and effort reporting teams
  • Library sciences, scholarly communication, and preprint stewardship

Capability surface

Constitutional runtime

The PRAXIS 7-Gate pipeline enforces governance on every AI action. It stops when unsure. Evidence is mandatory. Defaults deny rather than guess. Research workflows, IRB review, and academic integrity checks inherit this posture by construction, not by policy overlay.

Provenance and authorship

Every action, decision, and generation is recorded to a tamper-evident, SHA-256 hash-chained evidence store. Authorship attribution, contribution trace, and revision history survive substrate replacement. Preprint and thesis provenance is discovery-ready by default.

IRB and ethics posture

Deterministic governance maps to Common Rule, GDPR research provisions, and institutional ethics policy. Sovereign on-premise deployment for teams handling PHI, PII, or export-controlled data. The evidence store and constitutional runtime run inside the boundary your IRB already trusts.

Academic integrity

A governance layer that distinguishes AI-assisted from AI-authored work by construction, not by detector heuristic. Institutional policy about permitted use becomes enforceable at the runtime layer. Investigations begin from evidence, not from suspicion.

Grant compliance

Evidence trails for effort reporting, data management plans, and responsible-conduct-of-research obligations. NIH, NSF, and equivalent sponsor requirements map to deterministic governance controls the runtime enforces, not to manual attestation.

ASI-ready architecture

Designed for a world where AGI-class and ASI-class systems exist. Bounded autonomy, separation of duties, and human-sovereign gates on all consequential actions. ETHRAEON does not claim to be AGI or ASI; it governs systems that may become so.

Research substrate

ETHRAEON publishes its own research surface at papers.ethraeon.ai, running the same constitutional runtime and evidence store it offers to institutions. Papers are versioned, hash-anchored, and provenance-traced by construction.

Institutional engagements begin from a shared architectural frame: what the runtime does, what it does not do, where sovereign human authority remains non-delegable, and how the evidence layer survives model or vendor replacement.

Read the ETHRAEON research surface

Proof surface

ETHRAEON runs its own operations under constitutional governance. 300 plus production surfaces, 700 plus governance directives executed and evidenced, a hash-chained evidence store, a published research surface, and a portfolio posture that reports honestly rather than aspirationally. The infrastructure is the demonstration.

Engagement

Institutional engagements start with a governance briefing scoped to your research portfolio, jurisdictional posture, and regulated-data boundary. The briefing produces a written architecture assessment and a deployment path proposal. From there: pilot, evidenced production deployment, or sovereign on-premise install. Where sovereign external acts are required, human authority remains non-delegable.

Portfolio anchors

ETHRAEON is a constitutional runtime and evidence control layer. Portfolio posture: 16 U.S. provisional filings, 73 specifications, 9 families. Public claims are calibrated. AGI-class and ASI-class positioning is architectural, not an achievement claim.