The same 8,480-byte source compiles into every equipment class — automotive ECUs, consumer device firmware, satellite and shipboard payloads, embedded medical systems, factory-floor PLCs and drives. Self-calibrating, deterministic, audit-ready. The detector you license is the detector that runs anywhere you point a signal.
A modern vehicle is a fleet of microcontrollers — powertrain, ADAS, body, infotainment, gateway. Each one already emits telemetry the OEM cannot afford to ignore once it leaves the line.
Continuous baseline on every computational node from powertrain to body electronics — without changing the silicon.
Detect drift, dropout, and out-of-envelope behaviour in camera, radar, lidar, and IMU feeds before they reach the planner.
Flag departures from normal vehicle-to-vehicle and vehicle-to-infrastructure communication patterns at the gateway.
Isolate infotainment-domain anomalies before they propagate into safety-critical domains across the gateway.
Detection that lives on the device is detection that works offline, runs in the existing power envelope, and never sends a sample anywhere it doesn't need to go.
Local anomaly detection on power-rail, thermal, and modem telemetry — without phoning home.
Watch on-device LLM and multimodal inference for runaway behaviour, throttling drift, or memory-bandwidth anomalies.
Continuous low-power baseline on biometric streams; flag departures without burning the budget.
Detect hardware-class anomalies (thermal, voltage, controller-bus) without instrumenting customer behaviour.
Most consequential equipment operates in environments where backhaul is impossible by physics, update cycles are measured in years, and the asset under measurement cannot be reached for maintenance. Flynn was designed for it.
Component-level baselines with autonomous flagging — no ground intervention required, no model drift on orbit.
Sub-millisecond anomaly response on flight-control, propulsion, and IMU streams; deterministic for certification.
Low-footprint defence-in-depth for engineering plant and navigation systems on contested or disconnected vessels.
Anomaly detection on real-time data links across contested environments — no external trust anchor required.
SaMD, HIPAA, and clinical workflows demand transparent, deterministic, and replayable detection. Flynn's single-file source and locked-threshold architecture are designed for the documentation packages regulators ask for.
Real-time anomaly detection on home medical devices — bare-metal, no cloud, no data egress required.
Sub-10ms anomaly feedback on surgical robotics and diagnostic instruments, with replayable forensic trace.
Line-integrity monitoring for fill-finish, fermentation, and packaging — flagging departures from validated normal.
Detect calibration drift and sensor anomalies in CT, MRI, and ultrasound front-ends before they reach the radiologist.
Sub-millisecond control loops, 24/7 duty cycles, and cascading-failure topologies are not compatible with cloud-centric detection. Flynn sits on the drive, the PLC, the cell controller — where the decisions actually need to be made.
Catch axis-level torque, current, and vibration deviations before they propagate to fault or line stop.
Embed Flynn on the drive's MCU — bearing vibration and phase telemetry monitored on the silicon that already reads them.
Deterministic intelligence at the cell controller, with bit-identical replay across IT-side audit and OT-side response.
Cell-level anomaly flags drive deterministic cell-isolation logic, containing the cascade at the equipment layer.
From a microcontroller in a wearable to a payload on a satellite, Flynn is the same source file with the same locked threshold. Validated once, replayable forever, audit-ready every line.
