SRI Capital has made a strategic investment of an undisclosed amount in the Edge AI (artificial intelligence) technology start-up, edgetensor, founded by Rajesh Narasimha and Soumitry J. Ray.

Headquartered in Dallas, Texas, with a development centre in Bengaluru, the start-up’s mission is to make Edge-based AI affordable and accessible to the mass market.

Narasimha and Ray obtained their PhDs from the Georgia Institute of Technology and between them share more than 75 patents and publications and over a decade of industry experience.

Both were part of metaio, a German AR start-up acquired by Apple in 2015. The extended team of edgetensor comprises computer vision and machine learning experts and software engineers who bring together experience in cross-platform and mobile development, along with cloud back-end expertise.

“Edge computing is growing rapidly and with many large companies investing in low-power Edge compute devices, there is a need for software innovation to run AI algorithms that are compute, memory and data intensive on off-the-shelf commodity devices in a scalable and affordable way and we at edgetensor are committed to making this happen,” said Rajesh Narasimha, CEO at edgetensor.

Sashi Reddi, Founder and Managing Partner at SRI Capital said, “We believe that edgetensor has the potential to be a serious player in this multi-billion dollar market for affordable AI on low-end Edge devices.”

In the last five years, SRI Capital has invested in over 30 start-ups, and will continue scouting for innovative start-ups to fund, collaborate and support cross-border innovation between India and the US.

An Edge device is any device that can perform computations locally without sending data to the cloud for processing and bypassing cloud computing roadblocks such as speed, latency, privacy, reliability and safety concerns.

It handles a number of functions, including face tracking with occlusion reasoning, head-pose tracking and location, gaze direction and location, age and gender, face recognition, face identification/ verification and emotion recognition.