Edge Executive Insight – Amit Mate, Founder & CEO , GMAC Intelligence – Innovator of the Year FINALIST
In the lead up to Edge Computing World, we’re taking some time to speak to key Executives from the leading companies. Today we’re talking with Amit Mate, Founder & CEO of GMAC Intelligence
Tell us a bit about yourself – what led you to get involved in the edge computing market and GMAC Intelligence
I have always been fascinated by AI algorithms and how they can solve problems where traditional engineering tools fail. In my career, even before deep learning was a thing, I was using learning algorithms to improve wireless technology and enabling on-device machine vision. As I was working in the Edge compute industry ,I was able to see the Moore’s law taking root in AI compute. It was perfect time to combine two of my passions Connectivity and AI algorithms to build something useful and accessible to the masses. My co-founder , IISc classmate (Masters) and Qualcomm colleague Nagaraj and I decided to take the plunge and build something for the global market.
What is it you & your company are uniquely bringing to the edge market?
We are building server-less AI/ML solutions. Our innovations have facilitated moving all AI inferencing from dedicated cloud servers to on-device, on-premise and server-less cloud/lambda functions in our solutions. We have been able to commercialize our AI/ML solutions with 1000x cost reduction while still maintaining an expense ratio of 0.01.
Tell us more about the company, what’s your advantages compared to others on the market, who is involved, and what are your major milestones so far?
We build connected intelligence solutions, where our algorithms and software enable multiple connected smart devices to learn, infer and collaborate on the Edge.
We build plug-n-play solutions – which enable easy and rapid deployment and scaling.
We are striving for highest useful TOPs/$ on the Edge – by making our solutions multi-stream, multi-AI, multi-delegate (GPU/CPU/NPU).
We are offering our solutions with SaaS business model. Customers can choose any solution from facial/vehicle/activity recognition OR any custom application. We provide a unified dashboard and a LCNC option to integrate the Edge meta-data into existing dashboards. Our solutions have built-in BLE based access control.
We have deployed these solutions commercially in India and now looking to bring our capabilities to solve problems of the US Enterprise market.
How do you see the edge market developing over the next few years?
Edge solutions will increase in complexity and functionality over the next few years starting from a few sectors such as QSRs, Retail, Security (SMEs) and finally engulfing the entire Enterprise space. Consumer grade devices will increase in AI compute capability from 20 TOPs today to 200 TOPs in couple of years and continue the Moore’s law. This will enable several new applications that were not possible few years ago on the Edge.
What are the main trends you see about integrating edge computing into different verticals?
As we start integrating Edge computing into different verticals and Edge AI starts to proliferate, TCO per Edge site is going to be a major factor in decision making. Edge compute with built-in connectivity options will also have better value proposition as we start build learning and collaborating Edge AI systems.
