India-linked semiconductor startup Tattvam AI has raised $1.7 million in a pre-seed funding round led by Seedcamp, with participation from EWOR, Entropy Industrial Ventures, Concept Ventures and semiconductor industry angel Stan Boland. The company is developing artificial intelligence systems aimed at automating complex semiconductor chip design processes a field that remains one of the most technically demanding segments of global manufacturing.

The fundraise comes at a time when deeptech capital flows into India are showing signs of revival after a cautious period marked by tighter global liquidity and investor preference for profitability. According to a report by www.moneycontrol.com, early-stage investors are increasingly scouting for foundational technologies with long development cycles but potentially high strategic value, particularly in semiconductors, artificial intelligence, defence, and advanced manufacturing.

Founded by IIT Madras alumnus Bragadeesh Suresh Babu and ETH Zurich researcher Lannan Jiang, Tattvam AI is positioning itself at the intersection of AI and electronic design automation (EDA). The company aims to develop reasoning-based AI models capable of understanding circuit behaviour from first principles, enabling faster and more efficient chip design compared with conventional methods.

Semiconductor design today is a multi-year process requiring large engineering teams and specialized software tools. According to the company’s claims, its platform could compress development timelines from two to three years to a matter of weeks by automating design trade-offs, constraints and interdependencies that engineers typically evaluate manually. If proven at scale, such capability could materially lower entry barriers for firms seeking custom silicon, including AI startups, automotive companies, defence contractors and consumer electronics manufacturers.

Chief Executive Officer Babu noted that existing AI tools, including large language models, lack the structural reasoning required for chip engineering tasks. The company is therefore building domain-specific models designed to replicate expert engineering decision-making rather than relying on general-purpose AI systems.

Tattvam AI plans to launch its first product in the coming months and is currently collaborating with partners to accelerate development of next-generation chips. However, the company has not disclosed customer names, revenue projections, or commercialization timelines beyond initial product rollout.le