About

We build trust infrastructure
for advanced AI.

OnTargetCompliance was founded on a single conviction: that AI governance must be verifiable, not just documented. We build the infrastructure that makes that possible for enterprises operating at the frontier of AI deployment.

Mission

The problem with AI compliance today

"To make AI compliance as rigorous, automated, and trustworthy as the AI systems it governs."

Most organisations deploying AI systems face the same problem: compliance evidence is scattered across spreadsheets, emails, and shared drives. Audits are manual, time-consuming, and produce documentation that regulators cannot easily verify.

When the EU AI Act, GDPR, and emerging US legislation demand structured, traceable evidence of AI governance, organisations discover that their existing processes are fundamentally inadequate.

OnTargetCompliance closes that gap. We replace ad-hoc documentation with structured, automated, cryptographically-signed evidence generated by Trust-Verified Nodes — the same evidence that regulators actually need.

Scattered evidence
Before
Spreadsheets, emails, shared drives
After
Centralised Evidence Ledger with signed artifacts
Manual audits
Before
Weeks of manual documentation work
After
Automated evidence generation in hours
Weak trust
Before
Assertions without verification
After
Cryptographically-signed, regulator-ready outputs
Framework silos
Before
Separate processes per regulation
After
Single platform, six frameworks, one audit trail
Our mission

Built to make AI governance verifiable.

See how the platform translates the mission into a working compliance infrastructure for your AI systems.

Values

What guides every decision we make

Evidence over claims

Trust in AI systems must be built on verifiable, signed evidence — not assertions. Every output from our platform is cryptographically traceable.

Precision over coverage

We build deep, accurate compliance tooling for the frameworks that matter. Six frameworks done exceptionally well is worth more than twenty done poorly.

Built for practitioners

Our platform is designed by compliance engineers, legal counsel, and AI governance specialists. The workflows reflect how regulated organisations actually operate.

Regulation as infrastructure

We treat compliance frameworks not as bureaucratic hurdles but as the foundation of trustworthy AI deployment. Good governance is a competitive advantage.

Expertise

Regulatory expertise at the core

OnTargetCompliance is built by professionals with deep expertise in AI regulation, data protection law, and enterprise compliance.

EU AI Act

Deep expertise in the EU AI Act, including risk classification, technical documentation requirements, conformity assessment procedures, and the EU AI Office's enforcement approach.

  • → EU AI Act Article-by-Article Analysis
  • → High-Risk AI System Assessment
  • → Conformity Assessment Procedures
Data Protection Law

Comprehensive knowledge of GDPR, UK GDPR, and their application to AI systems — including automated decision-making, DPIAs, and the right to explanation.

  • → GDPR Article 22 Compliance
  • → DPIA Methodology
  • → ICO AI Auditing Framework
Enterprise Compliance

Experience designing and implementing compliance programmes for enterprise organisations, including SOC 2 Type II, ISO 27001, and Clarity Act readiness.

  • → SOC 2 Type II Evidence
  • → ISO 27001 Certification
  • → Clarity Act Readiness Assessment
Regulatory expertise

Deep expertise. Practical tooling.

Our team has built the platform on direct experience with EU AI Act, GDPR, UK GDPR, SOC 2, ISO 27001, and the Clarity Act obligations.

History

Built for the moment AI regulation arrived

2022Founded

OnTargetCompliance founded in response to the EU AI Act proposal — recognising that enterprises would need structured tooling, not just legal advice.

2023Trust-Verified Nodes

Developed the Trust-Verified Node architecture — a modular, auditable approach to AI compliance evidence generation that became the core of the platform.

2024FrontierAI Registry

Launched the FrontierAI Registry and Assurance Fabric, enabling enterprises to manage AI system portfolios across multiple regulatory frameworks in a single platform.

2025Six-Framework Coverage

Extended platform coverage to EU AI Act, GDPR, UK GDPR, SOC 2, ISO 27001, and the US Clarity Act — the most comprehensive multi-framework AI compliance platform available.

2026EU AI Act Enforcement

As EU AI Act enforcement obligations begin, OnTargetCompliance is the only platform with production-ready, regulator-tested evidence generation for high-risk AI systems.

Vision

Where we are going

We believe that AI compliance infrastructure will become as fundamental to enterprise operations as financial controls or cybersecurity. Every organisation deploying AI will need a compliance layer that is automated, auditable, and legally defensible.

Our vision is to be the trust infrastructure layer for the AI era — the platform that sits between AI systems and the regulatory environment, translating compliance obligations into automated, evidence-producing workflows.

"In five years, every enterprise deploying AI will have a Trust-Verified Node architecture at the core of their governance programme. We are building that infrastructure today."

Phase 1

Compliance Automation

Automate EU AI Act and GDPR compliance for high-risk AI systems.

Phase 2

Governance Platform

Enterprise-wide AI governance with board-level visibility and multi-framework coverage.

Phase 3

Trust Infrastructure

The standard compliance layer for all AI systems — from development to deployment.

6
Compliance frameworks covered
2022
Founded — ahead of EU AI Act
100%
Focus on AI governance only
Proven track record

Trusted by compliance teams across regulated industries.

Book a demo to see how organisations like yours are using OnTargetCompliance to build verifiable AI governance.

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The best way to understand OnTargetCompliance is to see it in action. Book a 45-minute demo and we will walk through your specific AI compliance requirements, applicable frameworks, and implementation timeline.

Tailored to your AI systems
Live Trust-Verified Node demonstration
Framework coverage review
Custom implementation proposal
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