AI systems fail. The question is whether they fail honestly — with an immutable record, a traceable cause, and a transparent remediation. Every service offered here is built to answer that question with precision, not promise.
Physics simulators, engineering tools, and educational systems built under the AION methodology — citation-backed, red-teamed, and peer-reviewed. Every deliverable ships with an AION Verified Simulator badge and a full audit trail.
No dependencies. No frameworks that break six months later. A self-contained HTML file that runs forever, does exactly what the citations say it should do, and carries an immutable record of every issue found and resolved during construction.
Certification is not installation of a monitoring tool. It is formal verification that your AI deployment captures failures immutably, remediates them transparently, and maintains an honest epistemic record.
The Sovereign Trace Protocol exists because "responsible AI" without failure documentation is marketing. STP FROZEN-2.0 defines the minimum standard. Certification verifies you meet it — and maintains that verification through a cryptographic ledger that cannot be quietly amended.
The AION stack was not designed from first principles in a comfortable room. It was built through live failure events — each framework specifying the exact boundary where AI confidence breaks down.
Framework engineering for your system means mapping your specific failure modes against the AION methodology, then building falsifiable, versioned, convergence-tracked frameworks for your deployment context. Every framework can produce the output "this score is invalid." That is not a bug. That is the point.
| Framework | Version | Function | Convergence State |
|---|---|---|---|
| FSVE | v3.6 | Certainty Scoring Engine — 6 score dimensions, validity threshold enforcement, multi-perspective reviewer architecture | M-MODERATE |
| LAV | v1.5 | Linguistic Anchor Validation — 45 validated entries, 77.5% running mean, language precision enforcement | M-STRONG |
| TOPOS | v0.3 | Persistent Shape Architecture — 4 mapping instruments, deformation threshold tracking, TOPOS-BIN archive | M-NASCENT |
| DUAL-HELIX | v2.0 | Build and Deep Thinking Wrapper — VELA · TOPOS base pair architecture, deformation check at output boundary | M-NASCENT |
| AION | v3.0 | Depth Acceleration Governor — SRI scoring, 3 scaling boundaries, artifact / node / behavior-kill architecture | M-MODERATE |
| CDIP | v1.5 | Constraint-Domain Isolation Protocol — linguistic domain scoring, LDS formula, Protocol I registration | M-NASCENT |
| EIGHT LAWS | v1.0 | Sovereignty Stack — individual, societal, biological, reality, civilizational sovereignty · Law 9 dark by design | CONSTITUTIONAL |
If your AI deployment has downstream consequences — to health, to safety, to legal standing, to an organization's credibility — then "pretty sure it works" is not a posture. It is a liability.