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Turn industrial alarm floods into traceable investigations. Compare signals, examine evidence, and recognize unreliable warnings before acting.
Explore industrial signals, compare nine anomaly detectors, investigate faults, and generate evidence-backed reports in one workspace.
From raw industrial sensor data to anomaly detection, fault investigation, and evidence-backed reports.
From alarm floods to evidence-driven industrial incident recovery.
C4 is an evidence-aware control plane for coding agents that tracks risky actions across steps, adds precise review gates, and keeps useful work moving.
Certificate-based analysis for continuous-time LTI systems, exposing the evidence behind controllability, observability, stability, LQR, and Kalman decomposition.
A 49M-parameter language model trained from scratch on 1B tokens, with a fully auditable training and evaluation pipeline.
An autonomous multi-agent system that plans proof strategies, explores branches, hunts counterexamples, verifies claims, and preserves an auditable research trail.
