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FLYNN — EntroMorphic — embedded anomaly detection — text edition


From neuron, to nervous system.

Flynn instances stand on their own and can be composed into more complex, intelligent systems. Atomic equipment intelligence composes into unit, facility, and enterprise-scale systemic-awareness.

  STAGE 01  ::  THE NEURON                 today, shipping
      [ signal ] -->  (  Flynn  )  --> [ score ]
      one detector, one signal, one decision

  STAGE 02  ::  THE DETECTOR FABRIC        2026, pilots engaging
      (  Flynn  ) --+
      (  Flynn  ) --+--> [ coordination ] --> [ asset state ]
      (  Flynn  ) --+       regime memory
      3-10 detectors, one asset. Detectors stay authoritative.

  STAGE 03  ::  THE NERVOUS SYSTEM         multi-year
      [ CORTEX ]       site-wide decision-making
           ^
      [ CEREBELLUM ]   operational-regime memory
           ^
      [ REFLEX ]       sub-millisecond, at the equipment
Three stages. Each is built from the primitives of the one before it.

Stage 01 · The neuron. Signal in. Intelligence out.

Today · shipping.

Flynn is the foundational unit of detection. It ships today as a binary deployable on-device, validated on synthetic and real-world data sets, and ready for production pilot programs.

One detector · one signal · one decision

Footprint
8,480 bytes. Fits on existing MCUs.
Form
Compact binary, compiled for your target. Deterministic. Verifiable.
Runtime
Bare-metal. No OS, no network, no filesystem. Zero heap after init.
Calibration
Self-calibrating from 1,700 samples †. Threshold then locked.
Determinism
Bit-identical output across runs and silicon.
Validation
Five distinct signal domains. Same source. Same flags.
Availability
Today. Under evaluation, OEM, and enterprise license.

† Samples required for complete enrollment will vary by equipment type, state, and operational envelope.

The constant: structural integrity at scale

Flynn instances stand on their own and can be composed into more complex, intelligent systems.

Stage 02 · The deterministic, auditable, neural network. Vertical and horizontal composition.

In development · pilots engaging 2026.

Compose multiple instances of Flynn into a fabric effecting maximum equipment intelligence, for self-correcting, self-managing systems.

3–10 detectors · one asset · regime-aware coordination

Topology
Multiple detectors per asset. Multi-sensor coverage.
Coordination
Fabric node maintains operational-regime memory. Cross-sensor context.
Authority
Detector layer remains authoritative on what is anomalous.
Adds
Which deviations are real faults vs. regime-related. What the asset’s current operating state actually is.
Separation
Coordination layer can bias attention. It cannot modify what underlying detectors classify.
Status
In active engineering. Pilot deployments engaging in 2026.

Stage 03 · The nervous system. Facility-wide distributed cognition.

Multi-year roadmap.

At full scope, Flynn becomes a facility-wide nervous system: asset-level coordination composed up into process, plant, and enterprise cognition.

Hierarchical cognition · reflex through cortex

Reflex
Sub-millisecond response at the equipment.
Cerebellum
Operational-regime memory across weeks of unseen states.
Cortex
Site-wide decision-making across processes and plants.
Long-term memory
Forensic replay back to any moment in equipment history.
Composition
Built from primitives that already exist. Silicon-verified in parallel research.
Status
Multi-year. The deterministic, auditable, neural network lays the foundation.

Roadmap conversations: pilot the deterministic, auditable, neural network

Operators with multi-sensor assets and clear regime structure are first in line for 2026 pilot deployments of the coordination layer.

Architectural brief on request

A deeper architectural conversation about the structural-separation property and how it composes into the longer Flynn roadmap. Available to qualified engagements.

Talk to engineering · See engagement tiers