Eta Compute builds energy-efficient endpoint AI solutions, including the ECM3532 neural sensor processor and the TENSAI® Flow software and neural network compiler. The company’s patented Continuous Voltage and Frequency Scaling (CVFS) technology underpins its platform and targets multi-year battery life and energy-harvesting applications. Eta Compute offers board-level solutions and optimized neural networks for audio- and vision-based edge AI in smart home consumer IoT and industrial IoT markets. The company said it will expand from software into complete, commercially deployable system solutions and introduce new modules and software to accelerate design wins. Financially, Eta Compute closed a $12.5 million Series C, bringing total capital raised to $31.9 million. The company is based in Westlake Village, Calif. Eta Compute develops third-generation machine intelligence for mobile and edge devices, focusing on spiking neural networks (SNNs) that use biologically realistic neuron models. The company leverages its Delay Insensitive Asynchronous Logic (DIAL™) to power machine intelligence on constrained devices. Eta Compute aims to enable brain-inspired computation techniques and carry out machine intelligence based on these biologically inspired models. It completed an $8M Series A and said it will use the funds to accelerate its machine-intelligence hardware platform and AI applications. The company was founded in 2015 by Gopal Raghavan (CEO) and Dr. Narayan Srinivasa (CTO) and is based in Westlake Village, California.

Total raised

$21M

Funding rounds

2

Latest round

Series C

Latest activity

Dec 2020