Founder of Algorithmic Biologics, Manoj Gopalkishnan

Manoj Gopalkrishnan is the founder of Algorithmic Biologics, a firm with offices in Bengaluru that develops algorithms for molecular programming, was founded by. Healthcare, pharmaceuticals, agriculture, animal husbandry, and food safety are just a few industries where its technology is used.

Manoj has published work in a variety of fields, including computer science, information theory, control theory, biology, physics, and machine learning. The strongest partial solution to this open topic that has been around for 50 years can still be found in his paper “Geometric Approach to the Global Attractor Conjecture.”

With their AI-based, award-winning cloud-hosted software platform Tapestry, Manoj and his 12-member team—which includes a scientist-founder and four PhDs—is bringing scale efficiencies to molecular diagnosis, research, and innovation. Tapestry accelerates the availability of more molecular data without needing to undertake extra capital investments.

The foundation for Algorithmic Biologics was set in 2009 when Manoj, who was a faculty member at the Tata Institute of Fundamental Research at the time, learned about the swine flu pandemic. This was before Algorithmic Biologics started to scale the screening procedure for COVID-19. Manoj came to the realization that diagnostic testing had turned into a bottleneck, impeding an efficient response to the outbreak. At that time, he had the initial concept for Tapestry. He then tried to recruit partners to work with me to carry out this concept, but he discovered there was little enthusiasm.

During COVID-19, the startup asserted that it could test up to 1,000 people using its technology in a small facility with a daily capacity of about 100 tests. Manoj asserts that Algorithmic Biologics’ USP is their AI-enabled SaaS service, which is separate from the underlying molecular test.