Think Neuromorphic

At a Glance

BM Labs is a leading-edge semiconductor design company specialization in energy-effective (6x) next gen GPU using in-memory compute.

Broad and defendable intellectual property portfolio
World-class technical team
Highly experienced advisors and seed investors including professors from National University of Singapore
Market exponential growth +400B

CMOS & SiP Ready

Fully validated on standard silicon-CMOS and silicon-photonic platforms.
Demonstrated at Leading Foundries

Integration of our IP successfully demonstrated on AMF Singapore, SkyWater, and GlobalFoundries process flows.

Neuromorphic IP Licensing

License our analog in-memory compute macros (e.g., 32×32 X1 crossbars) for integration into your ASIC or SoC.
Custom Chip Design Support

From FPGA prototyping to full-turnkey ASIC implementation, we accelerate your path to silicon with our pre-verified IP.
Radiation-Hardened Memory Solutions

Adapt our IP for space, defense, and automotive sectors with hardened libraries and qualification support.

Additional services (e.g., IoT solutions, sensor integration) available upon request

32×32 analog in-memory compute core (1T1R) for licensing—drop-in macro for ultra-efficient matrix operations.

Prototype neuromorphic processor integrating RRAM crossbars with RISC-V cores; achieves industry-leading TOPS/W for edge AI.

Coming Soon

Multicore demo board preloaded with our IP, enabling rapid benchmarking and early software development.

Unlock new opportunities without added silicon or software costs for chip and device makers.

1. Automotive & Industrial

Enhance ADAS and Industry 4.0 sensors with low-latency neuromorphic processing and embedded NVM.
2. Aerospace & Defense

Deploy radiation-hardened in-memory computing for satellite payloads and mission-critical systems.

Analog In-Memory Computing IP: Ultra-efficient AI acceleration with minimal data movement.
Integrated RISC-V Cores : On-chip control and preprocessing for streamlined AI workflows.
>6× Energy Efficiency: Significantly lower power consumption compared to traditional GPUs.
Radiation-Hardened Variants: Designed for reliability in aerospace and defense environments.
Scalable Architecture: Easily adaptable to edge, embedded, and high-performance AI applications.