Flynn is software that lives on existing MCU-class equipment. Observing sensor data in real-time, it catches developing issues before they cascade into catastrophe. 8,480 bytes of zero-latency, MCU-class, real-time equipment anomaly detection with zero-weight SWaP-C footprint.
Equipment failure costs the Fortune 500 $1.4 trillion a year — up 62% since 2019. 58% of teams now run AI-powered predictive tools; 79% saw unplanned downtime hold steady or rise.
Cloud tools cry wolf. After multiple false alarms, operators ignore the real one. Flynn raises zero false positives across 120 hours of healthy data.
Cloud tools update “normal” as conditions change, absorbing a slow fault into the new baseline. Flynn locks its baseline on day one.
Significant equipment and infrastructure investments, 6–18 months of data collection, data labeling, long-term consulting engagements. Flynn enrolls on existing hardware in as little as two seconds — zero pretraining, no labeled data required.
Scheduled inspections miss 30–40% of failures that develop between visits. Flynn observes equipment telemetry in real-time, with zero latency.
Fits existing MCU flash — not 8 MB, not 8 GB.
Software on the chip already there. No new board, sensor, or radio.
Integer-only, zero heap. Runs inside the existing power envelope.
Runs on silicon you already ship.
Eight thousand four hundred and eighty bytes — not 8 MB, not 8 GB. Flynn fits on the microcontroller native to your equipment.
Learns normal behavior in 1,700 samples — under two seconds at kilohertz rates — then locks. No labels, no tuning.
Zero dynamic allocation after initialization. Safety-critical firmware forbids the heap; Flynn meets that rule by construction.
Flynn ships as a compact binary, compiled for your hardware. Deterministic and verifiable against published test vectors; full source available to certifying authorities under NDA.
Zero false positives across 120 hours of soak testing, with a 95%-confidence ceiling of 0.025 per hour.
Deterministic across runs and silicon. Replayable. Auditable. Eligible for safety-certified voting architectures.
† Samples required for complete enrollment will vary by equipment type, state, and operational envelope.
Flynn enrolls on existing hardware in as little as two seconds — zero pretraining, no labeled data required.
Install. Deploy. Walk away. Once the equipment’s normal operating envelope is learned, every alert marks a real, sustained departure from the conditions at installation — turning a $94,000 emergency replacement into an $800 planned swap.
Post enrollment, Flynn watches in silence. It builds a statistical model of normal behavior — variance, autocorrelation, distribution shape, dynamics — and commits the nominal operational envelope.
Equipment telemetry is tracked against Flynn's learned operational envelope in real-time. Flynn signals alerts when equipment begins to trend toward the bounds of its learned envelope. Then again, when the thresholds are breached, signalling imminent equipment failure in advance of the event.
One binary, validated across five signal domains that share no common assumptions. Flynn’s capabilities are industry agnostic. Where there is telemetry, Flynn translates it into actionable intelligence.
‡ In updated-build testing, the healthy-bearing channels carried a faint signal that tracked the failing bearings — accelerometer cross-talk from the failing channels, not an independent fault. We report it as correlated cross-talk rather than a false positive. See validation for detail.
Flynn instances stand on their own and can be composed into more complex, intelligent systems.
Shipping today, Flynn is a binary deployable on-device, validated on synthetic and real-world data sets, ready for production pilot programs.
Compose multiple instances of Flynn into a fabric effecting maximum equipment intelligence, for self-correcting, self-managing systems.
Reflex-class response. Cerebellar memory of operational regimes. Cortical decisions across the site. Forensic replay back to any moment.
From one sensor on an engineer's bench to a thousand-asset fleet behind an air gap. Let's connect.
For developers, researchers, and innovation groups testing Flynn against their own data.
For manufacturers embedding Flynn into commercial equipment at production scale.
For operators deploying Flynn across fleets, retrofit or new-build, on or off network.
Evaluation access, OEM licensing, enterprise deployment — every engagement begins with a conversation. We support what we ship, for as long as you run it.