BrainPredict Edge
AI at the Machine
Deploy BrainPredict AI models directly to industrial edge hardware — PLCs, factory gateways, and IoT sensors — for sub-10ms inference where cloud latency is unacceptable. The only enterprise AI OS that runs from the boardroom to the factory floor.
6 Supported Edge Targets
Hardware Abstraction Layer means one BrainPredict deployment, any silicon. Same API, same models, same AuditChain.
NVIDIA Jetson Orin NX
PRIMARYPrimary industrial AI gateway — vision + time-series + NLP on single device
NVIDIA Jetson Xavier NX
Factory floor inference — demand forecasting, quality inspection, anomaly detection
Raspberry Pi 5 (8-node)
SCALEDistributed sensor analytics — lightweight ML at extreme scale
Intel NUC 13 Pro
Office/campus edge node — multi-model concurrent inference, OPC-UA gateway
Siemens SIMATIC IPC427E
OT/ICSPLC AI co-processor — certified for industrial environments, IEC 61508 ready
Custom ARM64 Gateway
IoTUltra-low-power IoT sensor aggregation — battery-backed, IP67 rated
8 Edge Platform Capabilities
Industrial-grade features designed for factory floors, not cloud datacenters
INT8/FP16 Quantization
4× model compression, 8× faster inference vs FP32. BrainCore models auto-converted — accuracy loss <0.5%.
Offline-First Architecture
Edge nodes operate fully autonomously during WAN outage. Local inference queues reconnect and sync when network resumes.
OTA Model Updates
Dilithium-3 signed delta packages pushed to entire fleet. Rollback-on-failure automatic. No downtime required.
Edge AuditChain
Local immutable audit log with SHA-256 + Dilithium-3. Syncs to central AuditChain on reconnection. Air-gap compatible.
OPC-UA Native Integration
Edge nodes connect directly to OPC-UA servers (Platform #19). Read sensor data at 10ms polling, run inference, write back recommendations in same cycle.
Federated Edge Learning
Edge-trained gradients (DP-noised, ε=1.0) feed back into FIN. Your edge hardware contributes to the network while protecting your data.
Hardware Abstraction Layer
Uniform BrainPredict API across all edge silicon. Deploy the same app to Jetson, RPi, and Siemens SIMATIC with zero code changes.
Fleet Health Dashboard
Real-time fleet monitoring: inference latency, model accuracy, OPC-UA connection health, OTA update progress, battery status.
Native OTCyberGuardian Integration
Every BrainPredict Edge node runs OTCyberGuardian locally — detecting unauthorized PLC logic writes, malformed Modbus/DNP3 frames, and SIS targeting attacks in real-time at the edge, without cloud connectivity.
Anomalies detected on-edge → Intelligence Bus event (cyber.ot.*) → OTCyberGuardian analysis → Sentinel response → OTTO L5 swarm mission (if CRITICAL). Full chain in <200ms. Even in air-gap mode.
Bring BrainPredict to Every Machine
BrainPredict Edge extends your enterprise AI OS from the cloud to the factory floor, the OT network, and the IoT sensor — closing the last mile of enterprise intelligence. Start with 10 nodes, scale to 10,000.