NeuroMem The Future of AI
Incremental LearningIn Real-Time
AI that learns continuously from new data, directly in hardware.
No retraining. No cloud. Instant adaptation.
Watch AI Learn in Real Time

NeuroMem learns continuously from incoming data, instantly recognizing new patterns and adapting its knowledge without retraining, downtime, or cloud dependency.
Proven Technology
NeuroMem has been implemented in silicon, integrated into commercial platforms,
and deployed across real-world edge systems.
ASIC Silicon
5 generations of real NeuroMem silicon, including the NM500 processor.
Commercial Integration
Integrated into Intel Curie System-in-Package solutions.
FPGA IP
Deployed as FPGA IP on AMD/Xilinx Virtex platforms.
Field Deployments
Applied in real-world predictive maintenance and signal classification systems.
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.
Applications
NeuroMem brings real-time learning directly into hardware, enabling intelligent systems that adapt instantly to new data across sensors, robotics, and industrial applications.
- • Autonomous Systems
- • Edge Vision
- • Predictive Maintenance
- • Pattern Recognition

Autonomous Systems
Real-time perception for embedded machines and edge robotics.
Autonomous Systems
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.