Platform

StateBooks™

Edge-native digital-twin AI for condition-based maintenance — unsupervised anomaly detection, explainable diagnostics, and bandwidth-safe compression for critical assets operating in DDIL environments.

Our platform

StateBooks™

StateBooks fuses multivariate sensor measurements into a single signal, then clusters normal operating behavior into a compact set of reference “state vectors” — a StateBook. Growing or sustained residuals indicate degradation long before a threshold alarm would trip.

StateBooks dashboard
Core capabilities

Unsupervised. Explainable. Bandwidth-safe.

01

MIMO

Multiple-input, multiple-output residual tracking across an entire subsystem.

02

Unsupervised & generalizable

Zero labeled failure data required; works on any correlated asset or system.

03

Robust to corrupted/missing signal

Predictions continue through sensor dropout.

04

System dynamics

Predicts unmeasured parameters and tracks changes via system identification.

05

No retraining required

Adapts to sensor drift, aging equipment, and mission-context shifts.

06

DDIL-native compression

50–200x sensor-stream reduction before any shore/off-platform transmission.

07

Federated-learning ready

Model weights, not raw data, synchronize across a fleet.

08

Plug-and-play workstations

New subsystems instantiated via configuration file, no source-code changes.

Architecture

Bandwidth optimized. DDIL native.

Edge runtime paired with a cloud backend on AWS GovCloud. Architecture allows for 1-way communication, and a documented API integrates with Navy CMAS / 2Kilo workflows. Federated learning keeps raw data on-platform fleet-wide.

Integrates with
  • CMAS
  • 2Kilo
  • eRM
  • Historians
  • Field instruments
  • Industrial protocols
Anomaly-detection latency
< 500 ms
Data-transfer footprint
< 5 MB / hr
False-positive rate
< 5%
Continuous-run uptime
99%
Reference edge hardware
INTEL NUC
Deployment class
MIL-SPEC ruggedized
Real-time kernel
PREEMPT-RT Linux
Cloud
AWS GovCloud

Figures reflect State Signal AI internal testing and Phase II target thresholds for the Navy CBM+ program.