Seedcamp leads funding to automate semiconductor chip design using AI
Deeptech startup Tattvam AI has raised $1.7 million (approximately Rs 14 crore) in a pre-seed funding round led by Seedcamp, with participation from EWOR, Entropy Industrial Ventures, Concept Ventures, and semiconductor industry veteran Stan Boland. The investment reflects rising global interest in AI-driven semiconductor innovation as demand grows for faster, more efficient custom silicon powering artificial intelligence workloads.
Funding to accelerate engineering, research, and product launch
The fresh capital will be used to expand Tattvam AI’s engineering team, accelerate core research, and bring its first product to market. The company also plans to strengthen partnerships with leading semiconductor design teams to validate and deploy its AI-powered chip design platform. The funding positions Tattvam AI to advance its technology as semiconductor companies increasingly seek automation to reduce development timelines and costs.
Founders building AI reasoning models for autonomous chip design
Co-founded in 2025 by Bragadeesh Suresh Babu and Lannan Jiang, Tattvam AI is developing AI systems capable of understanding circuit design from first principles. Its platform introduces a reasoning-based approach that evaluates constraints, trade-offs, and interdependencies, similar to human engineers but with significantly faster execution. This enables autonomous resolution of complex chip design challenges, reducing reliance on manual engineering workflows.
Targeting faster development of high-performance custom silicon
Custom silicon chips designed for specific workloads such as AI training and inference can deliver up to 100 times performance improvements over general-purpose hardware while consuming less power. Tattvam AI aims to automate electronic design automation workflows, potentially reducing chip development timelines from years to weeks. With its first product launch planned in the coming months, the startup aims to make advanced semiconductor design faster, more accessible, and scalable.
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