FROM A PLATFORM FACILITATING THE INTERNET OF UNDERWATER THINGS TO A SOIL INTELLIGENCE SYSTEM, MEET THE 12 STARTUPS FROM QDIC 2020 THAT ARE RAISING THE INNOVATION BAR

for hardware and deep-tech startups, the Qualcomm Design in India Challenge (QDIC) has become a coveted event that they look forward to every year. Having run the incubation programme over four iterations, Qualcomm has incubated 53 startups and has been instrumental in equipping the domestic startup ecosystem to enhance its design and manufacturing capabilities, especially in IoT. Over the years, it has enabled startups in their efforts to build products and solutions in smart infrastructure, biometric devices, medical technology and rural IoT domains.

In its fifth edition, Qualcomm Design in India Challenge (QDIC) has announced its selection of 12 startups for the 2020 cohort. This year, in addition to the IoT and smart infra related use cases, the challenge was also open to startups addressing 5G use cases and applications that use NavIC capability on mobile devices.

The 2020 cohort kicks off with an interaction opportunity with Ministry of Electronics and Information Technology (MeitY)

On July 15, 2020, the 12 startups got a chance to connect directly with Shri Ajay Prakash Sawhney, Secretary, Ministry of Electronics and Information Technology. All the 12 startup founders got an opportunity to present their solutions to the Secretary, who expressed his appreciation for the solutions.

At the interaction, Sudeepto Roy, Vice President, Engineering, Qualcomm Technology Licensing (QTL), gave an overview of QDIC highlights and updates over the last year.

Hachidori Robotics

Hachidori Robotics provides smart, safe and reliable autonomous mobile robot (AMR) solutions for factories and warehouses backed by their disruptive indoor navigation technology. Its founders are Janakiram Annam and Ramanathan Venkataraman. Hachidori’s AMR, unlike the existing solutions, doesn’t require expensive infrastructure for deployment and can be deployed in live factories and warehouses without any interruptions to operations and at a third of the cost of imported autonomous intelligent vehicles.

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