The Analog In-Memory Computing Company

AI meets Analog computing

Highly efficient edge inference performance with no compromises on power or latency

90% of power is wasted moving data between memory and processor.

TetraMem’s breakthrough architecture eliminates the memory bottleneck with scalable, RRAM-based processing—designed for real-time analytics and ultra-efficient AI in power-sensitive environments.

TetraMem brings compute to the data—slashing energy use and unlocking next-gen performance.

Why Tetramem Stands Out?

Integrating the Chip into your existing workflow is seamless and hassle-free.

0.5 TOPS performance in a compact, ultra-efficient 12nm SoC
Supports up to 4 million weights at 8-bit precision
Up to 200x faster ML inference
100x Better TOPS/W Than Leading AI Chips