VerifAIX raises $5M to tackle verification challenges in AI-driven chip design
VerifAIX plans to use the capital to develop its platform, expand customer deployments and strengthen engineering teams in the US, India, and Israel.
VerifAIX, an AI-native semiconductor verification company, has raised $5 million in seed funding co-led by Endiya Partners, an early-stage venture capital firm, and Bluehill VC, which invests in frontier technologies.
VerifAIX plans to use the capital to develop its platform, expand customer deployments and strengthen engineering teams in the US, India and Israel. It will also work on scaling its technology to larger chip designs, while expanding research in AI, formal verification and semiconductor engineering.
The company is addressing a problem created partly by the growing use of AI in chip development. AI can increasingly generate or assist with semiconductor designs, but those designs still need to be established as correct before they can be relied upon.
“Generating a design is not the same as proving that it is correct,” explained VerifAIX CEO and co-founder Madhulima Tewari.
VerifAIX’s platform is built around what it calls a ‘Formal Brain’. It develops a mathematically grounded view of a chip’s specifications, its intended behaviour and its verification material, then uses that understanding across planning, formal analysis, simulation, debugging and verification closure.
Register Transfer Level (RTL) is the description of how digital hardware behaves at a detailed design level. Formal verification uses mathematical methods to prove whether specified properties hold, while simulation tests how a design behaves under selected conditions.
The company said its platform is already being deployed with multiple semiconductor companies on real-world problems involving complex control and protocols. Its target customers include semiconductor and intellectual-property companies, processor and AI accelerator developers, hyperscalers and systems companies.
The timing highlights a broader shift in the semiconductor industry. Major EDA companies such as Cadence and Synopsys are also introducing increasingly autonomous AI tools for chip design and verification, as chip complexity and verification workloads rise.
India’s semiconductor startup ecosystem has also been attracting more capital. C2i Semiconductors raised $15 million in February, BigEndian Semiconductors secured $6 million in May, and Agnit Semiconductors raised $2.6 million in March.
Government policy is reinforcing this activity. Semicon 2.0, approved in July 2026 with a Rs 1,27,500 crore outlay, focuses on chip design, manufacturing, advanced packaging, equipment and materials, research and development, and talent. India has also approved 12 semiconductor manufacturing projects involving more than Rs 1.64 lakh crore in committed investment.


