Custom chip design sits at the heart of modern technology, powering everything from smartphones to the massive data centres that run today’s AI systems. Yet despite its importance, the process remains one of the most expensive and slow-moving in the entire engineering world, consuming nearly $80 billion in global R&D spending annually. A single error discovered late in the workflow can wipe out months of progress and force teams back to square one.
That’s the problem Tattvam AI was built to solve. The startup has developed a fundamentally different approach to chip design, one that goes far beyond automating repetitive tasks. Its AI system is designed to understand the underlying structure of circuits at a deep technical level, enabling it to independently tackle complex design challenges that would otherwise take highly skilled engineers months to complete.
Tattvam AI recently secured $1.7 million in pre-seed funding, with the round led by Seedcamp and joined by EWOR, Entropy Industrial Capital, Concept Ventures, and angel investor Stan Boland.
The company was co-founded by Bragadeesh and Lannan, both of whom bring strong technical backgrounds from their work at organizations including CoMind, Fractile, and Analog Devices. Bragadeesh notably declined an offer from Google’s TPU team to build Tattvam AI, a signal of the founders’ conviction in what they are creating.
With fresh capital and a clear mission, Tattvam AI is positioning itself to cut the time and cost of chip development significantly, at a moment when demand for custom silicon has never been higher.
