Edge AI Solution

We develop a single AI chip solution for cost-effective edge devices that are not necessarily connected to the cloud for computation all the time.


Our non-volatile neural network solution is implemented in a standard CMOS process. Patent pending analog and Flash memory IPs are integrated in a single chip to provide energy efficient and cost effective AI solution.


A diverse group of talented hardware and software engineers, advisors, and consultants. Executives have a combined 50+ years of experience.

Breakthrough, Engagement, and Testimonial

Why Anaflash is different

We're growing fast!

Recent News

2019 May

ANAFLASH Sponsoring AFCEA Event

We are sponsoring the AFCEA/GMU Critical Issues in C4I Symposium as a small business sponsor. AFCEA/GMU Critical Issues in C4I Symposium is an annual event that connects academia, industry and government to address important issues in technology and systems research and development, especially security and AI/ML for military application. Come and meet ANAFLASH at AFCEA on May 21-22, 2019. More details: HERE.

2019 March

ANAFLASH Awarded a DoD Air Force SBIR Phase I Contract

We have received the SBIR Phase I contract award on our proposal titled “Reliable Logic Compatible Embedded Flash for Cost-Effective Secure SoC.”

AFRL (Air Force Research Lab) and AFWERX have partnered to streamline the Small Business Innovation Research process in an attempt to speed up the experience, broaden the pool of potential applicants and decrease bureaucratic overhead. Beginning in SBIR 18.2, and now in 19.1, the Air Force has begun offering 'Special' SBIR topics that are faster, leaner and open to a broader range of innovations.'

2019 Jan

ANAFLASH Awarded Competitive Grant from the National Science Foundation!

We have received the SBIR Phase I grant award on our proposal titled "Energy Efficient Neural Network Accelerator Featuring a Logic Compatible Non-Volatile Synapse Array." Check out more details from HERE.

2018 Dec

Paper presented in IEDM

Our paper in collaboration with University of Minnesota was presented on Dec 4 in 2018 IEEE International Electron Devices Meeting (IEDM), titled "A 68 Parallel Row Access Neuromorphic Core with 22K Multi-Level Synapses Based on Logic-Compatible Embedded Flash Memory Technology." Published paper is available from HERE.

Contact Information

Address: 3003 N 1st St. Ste# 221
San Jose, California 95134

Website anaflash.ai