CleanAim®® Platform

EU AI Act Compliance Infrastructure

2 August 2026 is closer than you think.

Documentation doesn't stop a runaway model.

The EU AI Act requires enterprises to maintain comprehensive records of AI system behavior, with penalties reaching €35M or 7% of global turnover for high-risk non-compliance.

But here's what regulators will actually check:

Requirement What Most Platforms Do What Regulators Want
Article 12: Logging Behavioral logging (62-76% capture) Complete audit trail (100% capture)
Article 13: Transparency Documentation templates Provable accuracy metrics by demographic
Article 14: Human Oversight Checkbox approvals Proof humans actually reviewed (not rubber-stamped)
Article 15: Robustness Risk assessments Feedback loop bias detection

The gap: Existing platforms help you document what you claim. CleanAim® proves what actually happened.

AI providers cannot offer independent oversight of their own systems.

Article 31(5) requires that high-risk AI systems be assessed independently of the providers who built them. Conformity Assessment Bodies need infrastructure that doesn't compromise their independence.

Here's the structural problem:

  • AWS monitoring tools assess AWS systems
  • Azure governance covers Azure deployments
  • GCP logging works for GCP infrastructure

When the auditor's tools come from the same vendor as the system being audited, independence is compromised—not by intent, but by architecture.

CABs need provider-independent infrastructure. Enterprises need governance that works across Claude, GPT, Gemini, and Grok without favoring any single provider.

The market hasn't built it. We have.

One governance layer. Every provider.

CleanAim® sits between your application and your AI models—a neutral layer that captures, pairs, and learns regardless of which provider you use.

  • Switch from Claude to GPT? Same governance infrastructure.
  • Add Gemini to your deployment? Same audit trail.
  • Update to a new model version? Same compliance posture.

Unlike fine-tuning (which embeds learning into a model you don't own) or RAG (which locks context into a single ecosystem), CleanAim® captures learning at a layer you control.

Most governance only observes AI. CleanAim® learns from it.

Compliance you can prove. Learning that compounds.

99.8%

Capture Rate

vs 62-76% for behavioral logging

93.3%

Transfer Efficiency

When switching between providers

78.3%

Error Reduction

Through self-calibrating confidence

8

Patents Filed

Compound learning & external oversight

August 2026 Ready.
By architecture, not afterthought.

Feb 2025
Prohibited practices active
In effect
Aug 2025
GPAI model obligations
In effect
Aug 2026
High-risk AI obligations
DEADLINE
Aug 2027
Regulated product AI, legacy GPAI
Upcoming

Infrastructure-level compliance

CleanAim's 99.8% capture rate and immutable audit trails address these requirements at the infrastructure level—compliance that can't be accidentally bypassed:

Article Requirement CleanAim® Capability
Article 9 Risk Management Doubt Engine scores risk before execution
Article 12 Automatic Logging Constitutional Capture (99.8% pairing)
Article 13 Transparency Per-category accuracy disclosure
Article 14 Human Oversight Automation bias detection, engagement scoring
Article 15 Robustness Feedback loop bias detection
Article 72 Post-Market Monitoring Continuous calibration and learning

For Conformity Assessment Bodies

CleanAim® provides the provider-independent infrastructure that Article 31(5) requires for independent assessment. You can't audit what you can't see, and you can't be independent using the vendor's own tools.

Six core capabilities for EU AI Act compliance

Automatic Learning Capture

Every AI prediction and its real-world outcome are automatically recorded and paired, creating a closed loop where the system learns from experience.

Why it matters:

Article 12 requires automatic logging of all AI decisions. 100% prediction-outcome pairing rate achieved in production.

Doubt Engine

Before any AI decision executes, CleanAim® calculates a "doubt score" indicating how likely the AI is to be wrong. High-doubt decisions are automatically routed for human review.

Why it matters:

Article 14 requires humans to understand AI limitations. Doubt scoring makes limitations visible and actionable.

Automation Bias Detection

Monitoring that detects when human reviewers are "rubber-stamping"—approving AI decisions without meaningful engagement.

Why it matters:

Article 14 requires humans to "remain aware of automation bias." Detection signals: reviews under 3 seconds, zero override rate.

Multi-Provider Orchestration

Unified management of multiple AI providers (Claude, GPT-4, Gemini, Grok, open-source models) through a single interface.

Why it matters:

Provider independence ensures audit integrity. Single governance layer regardless of provider mix.

Cross-Model Learning Transfer

Everything CleanAim® learns while working with one AI provider applies when switching to another.

Why it matters:

Compliance evidence transfers with your learning. Investment protection when providers change.

Counterfactual Explanations

Automatically generated explanations of why an AI made a specific decision, including what would have changed the outcome.

Why it matters:

GDPR Article 22 requires explainable automated decisions. EU AI Act Article 13 requires meaningful transparency.

Built for regulated industries

Financial Services

High-Risk: Annex III 5(b) — Credit and creditworthiness

  • Per-demographic accuracy tracking
  • Adverse action reason codes
  • ECOA 4/5ths rule monitoring
  • Integration with existing risk systems

HR Technology

High-Risk: Annex III 4 — Employment and worker management

  • Bias audit tools (pre-deployment and continuous)
  • Human oversight workflow enforcement
  • Candidate notification generation
  • Works council communication templates

Healthcare

Dual Compliance: EU AI Act + Medical Device Regulation

  • HIPAA-aware logging (no PHI without consent)
  • Clinical decision support workflows
  • Integration with EHR systems

Insurance

High-Risk: Annex III 5(c) — Insurance risk assessment

  • Underwriting decision documentation
  • Anti-discrimination monitoring
  • Telemetry export for cyber insurance

Why infrastructure beats documentation

Existing platforms help you file paperwork for a building permit. CleanAim® installs the fire suppression system. Both are required—only one saves lives when things go wrong.

Capability Documentation Platforms CleanAim®
Documentation generation Template wizards From real audit data
Cross-provider stop commands None Core capability
Provider-independent oversight None Core capability
Self-improving safety thresholds None Unique
Deterministic replay audit None Core capability
Pre-execution doubt routing None Unique
Automation bias detection None Unique
Provider migration preservation None Unique
Multi-model consensus None Unique

vs. OneTrust / Credo AI / Holistic AI

They help with documentation. We provide the infrastructure that makes documentation truthful. Can their platform actually stop an AI decision in progress across multiple providers? Can they prove humans weren't rubber-stamping? Can they transfer your learning to a new provider?

vs. IBM watsonx.governance

Great within the IBM ecosystem. But what happens when you need to govern Claude, GPT-4, and open-source models together? What happens when you want to switch providers and keep your learning?

Enterprise deployment options

Bring Your Own Cloud (BYOC)

CleanAim® runs in your cloud environment—AWS, Azure, or GCP.

  • Data never leaves your security perimeter
  • Meets data residency requirements
  • Uses your existing security controls

Air-Gapped Deployment

Completely isolated deployment with no external network connectivity.

  • Required for classified environments
  • Local model support (no external API calls)
  • Meets defense and intelligence requirements

PrivateLink Connectivity

Private network connections that bypass the public internet.

  • AWS PrivateLink, Azure Private Link, GCP Private Service Connect
  • Traffic never traverses public internet
  • Reduces attack surface

Bring Your Own Key (BYOK)

Encryption using keys you control.

  • AWS KMS, Azure Key Vault, GCP Cloud KMS, HashiCorp Vault
  • Full control over encryption keys
  • Revoke access instantly by revoking keys

Proven architecture

CleanAim® Platform is built on the same architecture that powers CodeArch—proven across 1.1 million lines of production code.

1.1M Lines of code
98/100 Audit score
0 Blockers
9,305 Test functions
411 Learned patterns
7 LLM providers

The 98/100 score demonstrates system honesty—the 2 remaining checks await calibration data and won't fake a pass without sufficient evidence.

August 2026 is closer than you think.

CleanAim® Platform provides the infrastructure-level compliance that the EU AI Act actually requires—not just documentation, but proof.

Talk to Compliance Team →

Technical questions? hello@cleanaim.com