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A Woman-Led EdTech, Innomatics Research Labs, Expanding In Data Science And Generative AI Education

Innomatics specializes in data science, AI, full stack development and data engineering, with an aim to skill one million professionals in two years.

Kalpana Katiki Reddy, CEO of Innomatics Research Labs.
A Woman-Led EdTech, Innomatics Research Labs, Expanding In Data Science And Generative AI Education
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Innomatics Research Labs, a data science and Generative AI EdTech in India, has grown independently without external investments. Founded in 2019, this bootstrapped company has helped thousands of careers by prioritizing skill-building and direct industry placements over aggressive marketing and fundraising. Innomatics has prioritized and expanded its reach through commitment, innovation, and strategic execution.

The company has helped place more than thousands of professionals into over 500 data science companies, enabling them to transition into rewarding careers. Recognized by Times of India, Radio City, MSME, and World Brand Affairs, Innomatics has been honored as the "Most Trusted Data Science EdTech" in India. “We don’t need a lot of funding to create an impact. Many EdTechs have raised billios and failed, whereas we started with minimal savings from our previous jobs,” said Vishwanath Nyathani, Founder and Director of Innomatics Research Labs.

Today, more than 2,000 students are actively training at the Hyderabad campus, with learners coming from Maharashtra, Tamil Nadu, Karnataka, and beyond. Over 20 hostels are filled with students pursuing data science programs at Innomatics, indicating extensive demand. To ease accessibility, the company has expanded to Bangalore and Pune, reducing the need for students to relocate.

Beyond training, Innomatics offers a renowned internship program for aspiring data scientists, regardless of where they completed their training. Through a common entrance test, candidates demonstrating basic to reasonable knowledge are selected. The program covers complex topics like Large Language Models (LLMs) and Generative AI, providing hundreds of hours of live lectures and mentoring at no cost. “Many of our students come from non-IT backgrounds like manufacturing, pharmacy, and microbiology. With our support, they successfully transitioned into data science,” said Kalpana Katiki Reddy, CEO of Innomatics Research Labs.

With over 350 cohorts delivered in five years and more than 400,000 hours of live and classroom training, Innomatics has positioned themselves as a prominent data science EdTech in India. The company boasts a pool of 500+ industry experts from leading companies who train and mentor students. Unlike traditional EdTechs where students submit support tickets, Innomatics offers direct interaction with trainers via a live Learning Management System (LMS). “We prioritize real-time learning—students don’t wait for ticket resolutions; they get immediate support,” added Kalpana Katiki Reddy.

Innomatics regularly conducts mock interviews, industry networking events, and hackathons, ensuring students outperform competitors in hiring processes. “Hackathons are now the standard for hiring data scientists. Our students are well-prepared, and their performance post-hiring is exceptional,” said Raghuram Adhuri, Program Manager.

Their journey was filled challenges. During COVID-19, when students couldn’t pay fees and the government restricted operations, Innomatics borrowed INR 1.8 crores to sustain employees. However, many employees moonlighted for other firms, depleting funds. When lockdowns lifted, most didn’t return, forcing the founders to rebuild their team from scratch. “Our loans bounced, bankers came to seize my house, and my credit score collapsed. My family was in tears, but we refused to give up,” recalled Vishwanath Nyathani.

Despite hardships, they turned things around. Alumni success stories led to organic enrollments, reducing marketing expenses. They hired recognized industry professionals, focusing on real-world applications over theoretical training. “Our rule: ‘Don’t just teach theory. If you can’t demonstrate a use case, you can’t teach.’ This approach changed everything,” Vishwanath added.

Today, Innomatics specializes in Data Science, AI, Full Stack Development, and Data Engineering, aiming to upskill one million professionals in two years. “We create an ecosystem—trainers, mentors, hiring partners—so our students thrive. A strong LinkedIn and GitHub portfolio is a game-changer in landing jobs,” Vishwanath concluded.

Against all challenges, Innomatics Research Labs has grown into a leading data science EdTech in India, demonstrating the importance of resilience, innovation, and impact over funding.

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