NeuroMem® A General Vision Technology
Incremental LearningIn Real-Time
AI that learns continuously from new data, directly in hardware.
No retraining. No cloud. Instant adaptation.
Built for Predictive Maintenance
NeuroMem Powered
Machines that learn behavior
and detect change before failure.
Field footage illustrating how NeuroMem can support predictive maintenance in Russian industrial environments by learning machine behavior and recognizing early deviations at the edge.
Proven Technology
NeuroMem has been implemented in silicon, integrated into commercial platforms,
and deployed across real-world edge systems.
ASIC Silicon
Proven NeuroMem silicon across multiple chip generations.
Commercial Integration
Integrated into commercial Intel Curie platform solutions.
FPGA IP
Deployed as FPGA IP on AMD/Xilinx Virtex platforms.
What Makes NeuroMem Unique
Hardware-native intelligence designed for real-time learning, deterministic behavior, and ultra-low power.
Incremental Learning
Learns from single examples in deployment. New categories can be added instantly.
Deterministic Architecture
Winner-Take-All runs directly in hardware. Behavior stays predictable.
Ultra-Low Power
Energy scales with activity. Optimized for efficient edge deployment.
Available Across Multiple Hardware Forms
NeuroMem technology is available in silicon-proven ASICs,
and flexible FPGA / FTGA implementations.
ASIC Implementation
Silicon-proven solutions for high-volume integration.
FPGA / FTGA Implementation
IP licensing for rapid deployment on programmable hardware.
Save and Restore Field Experience
Operational intelligence can be saved, restored, replicated, and version-controlled directly in hardware without retraining or cloud dependency.
Save
Store learned patterns from a deployed system for future use.
Restore
Reuse saved intelligence on hardware without retraining.
Clone
Replicate validated knowledge across multiple systems.
Manage
Control and maintain hardware intelligence over time.
Beyond Predictive Maintenance
NeuroMem extends hardware-native intelligence across multiple real-world applications, from autonomous machines to edge vision and pattern recognition.
Autonomous Systems
Real-time intelligence for embedded machines and robotics.
Edge Vision
On-device visual recognition with fast local response.
Pattern Recognition
Classify signals, behaviors, and learned patterns at the edge.
AI Built To Operate
AI was built to train at scale, but real-world systems need intelligence that operates reliably in the field.
NeuroMem brings that capability directly into hardware.