End-to-End AI Transparency for Regulated Industries
From explainability to audit trails — AIClarum integrates into your existing AI infrastructure with minimal setup.
Three Pillars of AI Transparency
AIClarum's platform is organized around the three capabilities every regulated AI deployment needs.
Explainability Engine
SHAP and LIME integration at production scale. Explain individual predictions and global model behavior with millisecond latency.
Learn MoreCompliance Automation
Auto-generate documentation for EU AI Act, ISO 42001, and NIST AI RMF from live model telemetry — zero manual effort.
Learn MoreBias & Drift Monitor
Continuous fairness monitoring with configurable thresholds and automated alerts when models degrade outside tolerance bands.
Learn MoreSHAP and LIME Built Into Your ML Pipeline
AIClarum's explainability engine wraps your existing model endpoints with automatic feature attribution. For every prediction your model makes, AIClarum calculates SHAP values and LIME approximations in real time — storing them in a queryable audit store.
Whether your model is a neural network, gradient booster, or ensemble, AIClarum adapts to your framework without requiring model retraining or architecture changes.
- Compatible with scikit-learn, PyTorch, TensorFlow, XGBoost
- Sub-10ms explanation latency for tabular models
- Global and local explanations via single API call
- Counterfactual generation for actionable recourse
- Plain-language narrative generation from SHAP values
From Model Card to Regulator-Ready Report
Regulatory compliance documentation has historically been created by hand, at audit time, from fragmented sources. AIClarum reverses this: documentation is generated continuously from live model telemetry, so it is always current and always accurate.
For the EU AI Act, our system maps your model's characteristics to specific articles and requirements. For ISO 42001, we maintain a live control register. For NIST AI RMF, we track your position across the Govern, Map, Measure, and Manage functions in real time.
EU AI Act
Full coverage
ISO 42001
Full coverage
NIST RMF
Full coverage
Catch Fairness Failures Before They Harm People
Models drift. Input distributions shift. Protected-attribute correlations emerge from previously neutral features. AIClarum's monitoring layer provides continuous statistical surveillance so you detect these problems before they cause harm — or regulatory action.
You configure fairness thresholds for your use case and protected attributes. AIClarum evaluates demographic parity, equalized odds, predictive parity, and calibration on every inference batch. Alerts arrive via Slack, PagerDuty, or webhook when thresholds breach.
- Demographic parity, equalized odds, predictive parity
- PSI and KL-divergence for data drift detection
- Configurable alert thresholds per protected attribute
- Automated root-cause analysis for fairness violations
How AIClarum Fits Into Your Infrastructure
AIClarum integrates in minutes — not months. Our REST API, Python SDK, and native connectors work with your existing ML infrastructure.
REST API
Wrap any model endpoint. Submit predictions and receive explanations via a single API call.
Python SDK
Native integration for scikit-learn, PyTorch, TensorFlow, and Hugging Face pipelines.
Audit Store
Queryable time-series store of every explanation and fairness metric. Exportable to regulators.
Compliance Dashboard
Visual compliance status across all frameworks — one screen, real-time, exportable reports.
Pre-Built Compliance Templates by Sector
Reduce implementation time from months to days with industry-specific compliance template packs.
Healthcare AI
Covers HIPAA, FDA AI/ML guidance, and EU AI Act high-risk classification for clinical decision support and diagnostic tools.
Financial Services AI
Credit scoring, fraud detection, and algorithmic trading — aligned with SR 11-7, ECOA, CCPA, and EU AI Act requirements.
HR & Hiring AI
Resume screening, candidate scoring, and workforce optimization tools under EEOC guidance and New York City Local Law 144.
See AIClarum in Action
Book a 30-minute demo and see how AIClarum integrates with your AI systems in real time.
Schedule a Demo