About Us

We Bring the Power of Data Science & AI to Business

Backed by decades of experience across global markets, we are building an organisation focused on delivering the knowledge, transformation, solutions, and tools that engineering, manufacturing, and healthcare companies need in the era of Artificial Intelligence.

We believe industry needs solutioning, not just models and prompts. Effective AI solutioning is an engineering discipline that requires deep domain knowledge, mature problem-solving, and robust deployment across embedded and digital platforms. AI is more than machine learning or LLMs—when combined with decades of tools and centuries of domain knowledge, it can deliver measurable, repeatable, and trustworthy outcomes.

Physical AI extends beyond robots, machines and automated mobility agents. It will transform product engineering, manufacturing, healthcare, and transportation ecosystems. We call this Engineering AI. With three decades of research to industry experiences in connected products, core engineering, manufacturing, healthcare, and rigorous verification to assure quality and unwavering customer centricity, Evomaton brings strong value to the Engineering AI ecosystem.

Our Purpose & Principles

The principles shaping our AI- driven journey

Our Vision

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Our Mission

Our Value

Our Team

We Bring the Power of Data Science & AI to Business

Dr. Soumya Bhattacharya

Soumya has 27+ years of experience in digital product engineering services after his post-doctoral in Robotics and AI. He worked with well-known large and medium product engineering service companies where he formulated strategy, GTM, managed sales and inside sales, handled pre-sales, won deals, and executed projects. He incubated practices in digital, AI/ML/Data, automotive, medical, manufacturing, and retail services in those companies.

For a decade now, he has been working on developing data, AI/ML, and IoT practices for companies. He successfully incubated services in Data, Analytics, classic AI/ML, DL, NN, MLOps, and digital applications and helped companies scale up their business in those areas. He extensively worked in business development, solutions, and delivery of projects and programs using structured data and image processing-related technologies. He believes domain knowledge is as important as the algorithms in AI/ML.

Thirumeni Thangaponnu

Thiru has 31+ years of experience in product management, digital health, industrial automation, and enterprise systems/network management, after education in electrical & electronics engineering.

Thiru has developed innovative products across multiple markets, including medical devices, healthcare information systems, distributed control systems, and programmable logic controllers, and improving product development processes to drive revenue, efficiency, and market share. He has rich experience in product engineering, delivery operations leading global/multi-site teams, program management, practice management, business development, and customer relationships.

Thirumeni Thangaponnu

Thiru has 31+ years of experience in product management, digital health, industrial automation, and enterprise systems/network management, after education in electrical & electronics engineering.