We apply rigorous Systems Engineering to AI development, ensuring Safety by Design and total Interpretability. We translate high-dimensional vector space into actionable, auditable logic.
Explore The Framework Review Our ServicesTraditional AI development often rushes from data to training, treating safety as a patch applied at the end. We invert this process. By defining the Operational Design Domain (ODD) and safety constraints *before* a single line of Python is written, we ensure your model is verifiable by design and transparent in its decision-making.
The Descent: Constraints
We rigorously define "Where is it allowed to operate?" We map the Operational Design Domain (ODD) to establish the exact environmental and logical boundaries of the system.
The Descent: Decomposition
Utilizing STPA (System-Theoretic Process Analysis) to identify hazardous states. We design "Safety Wrappers" to override unsafe probabilistic predictions.
The Vertex
Implementation using custom loss functions that penalize not just inaccuracy, but safety violations. We prioritize 'Safe Failures' over high-risk guesses.
The Ascent: Evidence
The "White Box" Audit. We verify that the model is looking at the *correct* features to make decisions, not relying on spurious correlations (SHAP, LIME).
The Ascent: Integration
We stress-test against adversarial attacks and edge cases. We test to find exactly where the system breaks under duress.
The Ascent: Proof
Final verification against ISO standards (42001, 26262). We deliver a complete "Safety Case" document proving all requirements are met.
We design and implement the surrounding deterministic infrastructure that governs your ML model, including runtime monitors and fail-safe mechanisms for graceful degradation.
We provide auditable trails linking predictions back to training data provenance and feature importance, satisfying internal and regulatory scrutiny.
We conduct gap analyses and prepare your technical documentation, risk management systems, and post-market monitoring plans to ensure certification readiness.
In safety-critical engineering, "It just works" is not an acceptable answer. Our delivery includes a bespoke Explainability Interface, allowing your engineers and auditors to query specific decisions.
We translate high-dimensional vector space into actionable logic. Our pipelines ensure every prediction comes with an audit trail, mapping outputs back to training data provenance.
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Feature Importance Heatmap
Schedule an initial consultation with our Principal Safety Engineers to discuss your specific use case and regulatory requirements.
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