Stability, Not Guessing.
An infrastructure layer for detecting hallucinations, controlling reasoning drift, and supporting EU AI Act–ready systems.
Detects uncontrolled deviation across multi-step reasoning.
Identifies confident output without sufficient internal support.
Flags outputs that silently exceed time, cost, or rule limits.
Measures whether outputs remain within defined tolerance bands.
Same input, different output structure — highlighted, not hidden.
Coming Soon
Same task, different models — drift and hallucination rates compared.
Stability degradation over extended reasoning chains.
Behavior when budgets or rules are tightened.
Structural alignment with EU AI Act documentation needs.
AI system produces output
DriftStopper evaluates structural signals (not content meaning)
Risk indicators and stability metrics are generated
Results are logged for audit and review
— Not a content filter
— Not a jailbreak detector
— Not a prompt optimizer
— Not a replacement for human oversight
DriftStopper does not store prompts or semantic content by default.
Evaluation is structure- and signal-based, designed for auditability and minimal data retention.
Benchmarks are currently running under controlled conditions.
Results will be published once reproducible and reviewable.
Evidence, Not Confidence.
A layer that flags outputs lacking sufficient internal support — before they're treated as fact.
High certainty in output, low internal support signal.
Claims that contradict retrieved or contextual information.
Output sounds correct but lacks verifiable grounding.
Unable to trace output back to source material.
Model generates output with internal confidence scores
Hallucination Stopper evaluates evidence sufficiency
High-risk claims are flagged or held back
Audit trail documents detection reasoning
— Not a fact-checker
— Not a retrieval system
— Not a content moderator
— Not a replacement for verification workflows
Research and signal validation are ongoing.
Release timeline will be announced when detection accuracy is reproducible.
Structure, Not Theater.
Documentation and control infrastructure designed to align with EU AI Act requirements — without compliance theatre.
Structured assessment framework for system risk categorization.
Pre-structured formats aligned with Article 11 and Annex IV requirements.
Automated capture of decision paths, inputs, and risk signals.
Structured checkpoints for meaningful human intervention.
Clear system behavior documentation for users and auditors.
Version control and impact documentation for model updates.
System operates with embedded monitoring and logging
EU AI Act Layer captures required data points automatically
Documentation is generated in audit-ready format
Reports are exported for regulatory review or internal governance
— Not legal advice
— Not a certification service
— Not a compliance guarantee
— Not a replacement for legal review
The EU AI Act Layer is designed to support technical documentation and operational transparency requirements.
It does not replace legal counsel or independent conformity assessment. Final compliance responsibility remains with the deploying organization.
Regulatory mapping is in progress alongside EU AI Act finalization.
Release timeline will align with official implementation deadlines.