Your AI Coding Agent Has 7 Problems

We Fix All of Them.

CleanAim® makes incomplete implementations, context loss, scope creep, and silent failures architecturally impossible. 57,000+ evolved patterns. Proven across 1.1M lines of code.

Sound Familiar?

"It's like supervising a junior with short-term memory loss"

— Context Loss

"First attempt will be 95% garbage"

— Incomplete Implementations

"I understood the rules but chose other behavior"

— Guardrail Bypass

"Dumber after compaction"

— Context Loss

These aren't bugs. They're paradigm problems. Every AI coding agent has them. CleanAim® solves them architecturally.

See How →

How CleanAim® Works

Guardrails That Hold

515 'Do NOT' rules with 4-layer enforcement. Not suggestions—constraints verified before code is accepted.

Context That Survives

92% automated handoffs, 100% restore rate. Your AI remembers across sessions, compactions, and model switches.

Learning That Compounds

57,000+ patterns captured. 93.3% cross-model transfer. Each session improves the next.

Explore the Platform →

We Built This By Using It

CleanAim® was built with AI assistance using its own methodology—twice. These metrics come from production, not theory.

1.1M+ Lines of code
57,338 Evolved patterns
9,309 Test functions
98/100 Audit score
100% Prediction pairing
See Full Metrics →

Built for Teams Using AI Coding Agents

Engineering Teams

Stop babysitting your AI agent. Get reliable code that doesn't require constant oversight.

Regulated Industries

Audit trails that satisfy compliance. Every AI decision logged and traceable.

Development Agencies

Deliver AI-assisted code your clients can trust. Prove quality with metrics.

Built by Someone Who Felt the Pain

CleanAim® wasn't designed in a lab. It was built by an engineering team that used AI to write 1.1 million lines of production code—and experienced every one of these problems firsthand. The methodology exists because we needed it ourselves.

Read the Full Story →

Start With a Diagnostic

15-minute assessment of your AI-assisted development workflow. Identify which of the 7 problems hurt you most—and get a plan to fix them.

Get Your Diagnostic

AI You Can Prove

The EU AI Act doesn't just require paperwork. It requires proof that your AI systems behave as documented.

Most compliance platforms help you file documentation. CleanAim® installs the infrastructure that makes that documentation verifiable.

When auditors ask 'How do you know this is true?'—you have the answer.

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.

2 August 2026

High-risk AI obligations take effect. Penalties reach €35M or 7% of global turnover.

Timeline

Feb 2025
Prohibited practices banned
Aug 2025
GPAI model obligations active
Aug 2026
High-risk AI obligations (Annex III)
Aug 2027
Regulated product AI, legacy GPAI

Penalties

€35M or 7%
Prohibited practices
€15M or 3%
High-risk non-compliance
€7.5M or 1%
Incorrect information
EU AI Act →

EU AI Act Requirements Addressed

Article 9 Risk Management

Continuous risk identification and mitigation

Doubt scoring predicts failure before it happens. 57,338 patterns track what works.

Article 12 Record-Keeping

Automatic logging of AI system operation

99.8% capture rate. Immutable audit trails. Every decision logged.

Article 13 Transparency

Clear information about AI capabilities and limitations

Counterfactual explanations generated automatically. 'Why was this decision made?'

Article 14 Human Oversight

Meaningful human control over AI operation

Cross-provider stop commands. Brake engagement in 50ms. Control that actually works.

Article 15 Accuracy & Robustness

Consistent performance across conditions

Calibration monitoring detects drift. 11-dimension audit ensures quality.

Provider Tools Cannot Assess Provider Systems

Article 31(5) requires that Conformity Assessment Bodies maintain independence from AI providers.

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.

CleanAim® is provider-independent by design. One governance layer that works across Claude, GPT, Gemini, and any other provider.

CABs for AI →

Beyond EU AI Act

EU AI Act

Available

Full Annex III coverage, Article 9-15 mapping

ISO 42001

Available

AI Management System, 39 Annex A controls

SOC 2

Available

Trust Services Criteria, automated evidence collection

FedRAMP

Roadmap

NIST 800-53 mapping, US government requirements

Infrastructure We Use Ourselves

99.8%
Capture Rate
Near-complete audit trail coverage
8
Patents Filed
Protecting the methodology
100%
Prediction Pairing
Every AI decision gets an outcome
50ms
Brake Response
Cross-provider stop command latency

Ready for August 2026?

Get an assessment of your AI systems against EU AI Act requirements.

Request Assessment