How these IISc classmates are developing a international deep tech business to allow AI on the Edge

For Amit Mate and Nagaraj B, co-founders of GMAC, the decision to launch a startup with each other wasn’t a tough just one, given the camaraderie they’d always shared, be it as classmates at the Indian Institute of Science (IISc) or though doing work at Qualcomm.

The journey from becoming classmates to enterprise associates was inspired by a one purpose: to make revolutionary solutions making use of state-of-the-art systems these kinds of as synthetic intelligence, 5G and Edge computing obtainable to one particular and all.

With this purpose, the duo launched GI4ALL- an AIoT-as-a company for enterprises, enterprises and town governments. GMAC is commercialising its AI/ML software program and algorithms to power applications this sort of as touchless attendance, visitor administration, automated licence plate recognition and exercise recognition.

Shoppers can obtain these products and services by signing up on their portal gi4all.website.application and installing the GI4ALL app from Google Playstore on several Edge AI cameras. GMAC’s AI/ML software program is capable of processing all AI on the cameras itself in authentic time, so consumers never need to have to obtain and maintain high priced servers.

GMAC also offers a server-less cloud component to retail store suitable info and share intelligence throughout equipment – which would make their option much more strong than any other systems out there in the market.

A genuine-time dashboard makes certain that the authorised stakeholders get common updates and studies as captured by the AI/ML software program. These choices operate on Android products that are available by virtually absolutely everyone.

Connecting the dots

The inspiration guiding GMAC’s structure ideology can be traced back again to Amit and Nagaraj’s large encounter of functioning on slicing-edge systems this sort of as 3G/4G, Edge compute, VRand AI/ML throughout their stints with Qualcomm involving 2008 and 2019.

Amit has wide world wide R&D expertise in leading and bringing new technologies to lifestyle this sort of as 3G-Femtocells, 4G modems, actual-time VR and AI throughout Nokia Study (Helsinki, Finland), Qualcomm Study (San Diego, CA) and other higher-profile startups (Silicon Valley and East Coastline). He also has various award-successful patents to his title. Nagaraj was thoroughly included in commercialising chipsets like the Snapdragon 630 and Snapdragon 730 which are remaining utilized in millions of smartphones nowadays.

With their working experience of operating on pioneering systems for purchaser electronics, the duo puzzled how this kind of solutions can be created obtainable to enterprises that lack the IT infrastructure for a massive electronic transformation, and no matter if AI/ML products could simplify these types of accessibility.

“Once we determined to start GMAC, we aimed to combine AI, IoT and SaaS platforms in a way that it will become effortless even for SMBs/SMEs/governments to deploy advanced resources for tasks like recording attendance, customer administration and accessibility control making use of facial, auto and activity recognition,” Amit states. “We preferred to structure plug-and-enjoy answers that can be made use of with several IoT units these as digital locks and increase barriers utilizing AI.”

Turning a crisis into a deep tech option

The company product was finalised by Could 2020, proper when the COVID-19 pandemic was at its peak. On the other hand, the founders produced the most effective of the problem.

“During the pandemic, a whole lot of learners who had strategies to study abroad were being caught in the region,” Amit recalls. “At the exact time, a lot of talented pros ended up also wanting for hard options in the AI/ML place. This enabled us to seek the services of the best experts from across India. So, we laid the basis of the enterprise by deciding on the very best talent to style our goods.”

A different component that served GMAC is the launchpad they received from the neighborhood deep tech local community.

“IISc declared GMAC as one particular of the impending startups which were a component of its ‘Deep Tech @ IISc’ cohort in 2019,” mentioned Amit.

The initiative was released specially for IISc alumni, college customers and pupils and aimed at supporting remedies that leveraged deep tech to travel effect in the culture.

“Then Qualcomm welcomed us to their Wise Metropolis Accelerator programme and NVIDIA to their Inception cohort and provided us the a great deal essential visibility in the international deep tech neighborhood,” he adds.

In accordance to the founders, the pandemic helped them style products that were upcoming-ahead. “For instance, the household culture the place I are living has more than 100 safety guards, domestic aid and gardeners coming in every working day,” Amit states. Ahead of the pandemic, they ended up compensated according to the number of times they documented for operate, and their attendance was recorded through a finger-printing machine. But for the duration of the pandemic, the household modern society asked Amit if his business could design and style a program that can allow for attendance to be recorded in a contactless vogue. “So, we put in the GMAC touchless attendance system on various gates to solve the trouble,” claims Amit.

What worked in GMAC’s favour was the product’s straightforward-to-use interface. “Almost any person could use it and it did not need any variations in the present IT techniques of the society. So, every time a new maid or guard was employed, they could conveniently be included to the process with out any hassles.”

Constructed to scale

Talking about the USPs of GMAC’s choices, Nagaraj claims these products’ flexibility is their greatest benefit. “There are a huge range of SMEs and SMBs that do not want to change from their legacy techniques,” he notes. As GMAC solutions operate on Android, they can be accessed by all people who has a smartphone.

“Our alternatives are value-effective, and do not call for one particular to change to complex systems like cloud server environments, which could possibly not constantly be possible for areas like factories, hospitals and educational facilities, specified their IT constraints,” Nagaraj explains.

Also, as all the AI processing happens on digicam, GMAC’s customers do not have to obtain and install any servers. Their expense-success and accessibility give GMAC an edge above various set up players.

The startup relies upon on Google to shield its program and gadgets from cyberattacks and safety breaches. “Using Google’s protection characteristics has served us establish standardised goods. Though the software has constructed-in biometric security, it is also password-safeguarded and can be accessed only by the admins. The products have clamps and locks to hold them in spot and avoid theft,” states Amit.

For now, the two mates-turned-business partners are active scaling their gross sales by concentrating on the excellent consumer profile for their items.

Less than a calendar year in operating, GMAC is already getting strides with a engineering that can be scaled, and is charting out progress procedures in locations these as facial recognition, and coming up with methods that can sense hazardous cases and mishaps in factories. “We are also functioning on activity detection remedies, which can assistance providers improve management of personnel and detect employees members who may possibly be idling absent during shifts,” Nagaraj states.

When there may possibly be identical alternatives remaining available by other players, Amit states that most of them are not plug-and-participate in or 5G-completely ready. “This is where by GMAC would appear in,” he adds. At this time, GMAC answers have been deployed in residential societies, hotels, hospitals, colleges, motion picture theatres and factories.