Trust Infrastructure
for Advanced AI
Register AI systems, verify safety controls, and generate regulator-ready documentation with trust-verified compliance nodes.
OnTargetCompliance transforms AI governance into a verifiable system of record. Every model, dataset, evaluation, and safety control is documented, signed, and exportable as regulator-ready evidence.
AI regulation is accelerating.
Most companies are not prepared.
Advanced AI systems are moving into regulated environments. Yet most teams manage compliance through scattered documents, manual processes, and unverifiable assertions. The gap between what regulators expect and what teams can produce is widening.
Scattered Evidence
Compliance documentation lives across spreadsheets, email threads, and shared drives. There is no single system of record.
Manual Audits
When regulators request documentation, teams scramble to assemble evidence — taking weeks of manual effort for each audit cycle.
Weak Trust
Statements like 'our model was evaluated' carry no verifiable weight. Regulators and enterprise customers require proof, not assertions.
Turn scattered AI evidence into structured compliance.
See how OnTargetCompliance maps your AI systems to the frameworks that matter — in a 30-minute demo.
Turn AI governance into
a verifiable system.
OnTargetCompliance provides a structured platform for managing the lifecycle of AI systems and generating trust-verified compliance evidence.
Instead of assembling documentation manually, teams run trust-verified nodes that produce signed outputs and structured evidence — creating a complete and traceable record of how an AI system was built, evaluated, and governed.
One platform. Six frameworks. Verifiable evidence.
FrontierAI Registry + Assurance Fabric automates the full compliance lifecycle — from model intake to regulator submission.
Compliance workflows
you can prove.
Every governance process inside OnTargetCompliance is executed through a Trust-Verified Node — a controlled workflow that produces verifiable evidence.
Outputs are cryptographically hashed and stored with full provenance, creating an immutable audit trail showing exactly how compliance evidence was produced.
Model metadata · Dataset refs · Use case context · Framework scope
Automated policy checks · Human reviewer approval · Benchmark execution
Cryptographic hash · Timestamp · Version tag · Reviewer signature
Immutable log · Full provenance · Export-ready · Regulator-linked
Every node produces a signed, auditable artifact.
Trust-Verified Nodes replace manual compliance processes with cryptographically verifiable evidence — shareable with regulators, customers, and boards.
Six compliance nodes.
Complete governance coverage.
Each node performs a defined governance function and produces a signed, auditable output that can be exported directly to regulators, auditors, or enterprise customers.
Model Registration Node
Records model architecture, training runs, datasets, and intended use into the compliance registry.
Dataset Inventory Node
Catalogues training data sources, consent records, bias assessments, and data quality metrics.
Benchmark Execution Node
Runs standardised evaluation benchmarks and adversarial tests, producing signed performance reports.
Safety Mitigation Node
Documents risk controls, red-teaming results, and operational restrictions required under EU AI Act Article 9.
Independent Review Node
Captures reviewer approvals, third-party assessments, and sign-off records with full audit provenance.
Submission Packet Node
Compiles all node outputs into a cryptographically signed, regulator-ready submission package.
Compliance documentation
generated automatically.
OnTargetCompliance converts governance workflows into structured outputs that regulators, auditors, and enterprise customers expect — without manual assembly.
Regulator ZIP
Complete signed evidence bundle for EU AI Office, ICO, or enterprise audit submission.
Audit Report
Structured audit trail documenting every governance action, reviewer, timestamp, and version.
Board PDF
Executive-ready AI risk summary for boards, audit committees, and investor due diligence.
Evidence Ledger
Immutable, version-controlled record of all compliance evidence with full provenance chain.
Trust Portal
Shareable compliance dashboard for enterprise customers, partners, and regulators to verify governance.
From evidence to regulator-ready output in one workflow.
Regulator ZIPs, Board PDFs, Trust Portal, Evidence Ledger — all produced automatically from your node execution history.
Built for modern AI regulation.
The platform translates regulatory expectations into structured workflows and evidence outputs across six frameworks. Also supports enterprise AI governance policies.
Build AI systems with
verifiable governance.
OnTargetCompliance helps organisations transform AI governance into structured, auditable infrastructure.
Document models, verify safety controls, and generate compliance evidence with trust-verified workflows — across EU AI Act, GDPR, UK GDPR, SOC 2, ISO 27001, and the Clarity Act.