We provide an energy efficient AI solution for cost-effective edge devices that are not necessarily connected to the cloud for computation all the time.
Our patent pending nonvolatile compuing solutions are implemented in a cost-effective standard CMOS process.
A diverse group of talented hardware and software engineers, advisors, and consultants.
We are mentioned in the IEEE spectrum article: Searching for the perfect artificial synapse for AI. Check out more details from HERE.
Flash memory is in my opinion the NVM technology with the highest chance of enabling large scale computer-in-memory systems for ML and AI applications.
Prof. Chris H Kim at Univ. MinnesotaFounding Advisor of ANAFLASH
"This approach is appealing because it depends on mature, well-understood component technologies." Check out more details from HERE.
ANAFLASH Inc. (San Jose, CA) is a startup company that has developed a test chip to demonstrate analog neurocomputing taking place inside logic-compatible embedded flash memory. Check out more details from HERE.
We are with Berkeley SkyDeck Fall 2019 Cohort and Spring 2020 HotDesk as the very first CHIP TRACK company of the program. More details: HERE.
We have received the SBIR Phase I contract award on our proposal titled “Reliable Logic Compatible Embedded Flash for Cost-Effective Secure SoC. More details: HERE.
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.