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Home | Business | Cie At Iiit H Selects Two Startups For Its Accelerator Programmes

CIE at IIIT-H selects two startups for its accelerator programmes

The accelerator brings together the deeptech expertise of IIITH's research labs and technology mentoring opportunities that help startups build a quality products/features within shorter timelines

By Telangana Today
Published Date - 20 January 2021, 05:21 PM
CIE at IIIT-H selects two startups for its accelerator programmes
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Hyderabad: Centre for Innovation and Entrepreneurship (CIE) at IIIT Hyderabad announced the on-boarding of two startups Machstatz and eSkindoctor under Avishkar Deep Tech accelerator cohort number 11 and OJAS MedTech Accelerator cohort number five.

While Avishkar Deep Tech is a six-month cohort-based accelerator for emerging tech startups, OJAS MedTech is an accelerator for startups in life sciences, biotechnology, diagnostics, point of care devices for healthcare along with cutting edge emerging technologies facilitated by CIE@IIITH.


The accelerator brings together the Deep Tech expertise of IIITH’s research labs and technology mentoring opportunities that help startups build a quality products/features within shorter timelines. The startups also go through structured business mentoring from co-creation consulting, customer introductions and investor connect for a follow-on round of investments. Medtech startups also get access to Medtech consortium which includes clinicians, hospitals, pharma, biotech, and manufacturing companies.

Prof Ramesh Loganathan, COO of CIE-IIITH said, “Nurturing and growing early-stage tech startups has been our focus since we started CIE in 2008. Over the years we have had 400 startups in the incubator and about 20 in our accelerator programmes.”

Bengaluru-based Machstatz provides end to end solution in Industrial IoT. They use artificial intelligence and machine learning algorithms to provide predictive and process analytics solutions to manufacturing industries. Mumbai-based eSkindoctor Healthtech Private Limited is focused on dermatology and is using artificial intelligence and deep learning algorithms to address skin problems.


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