VerifAIX has raised $5 million in seed funding to develop its AI driven semiconductor verification platform, targeting one of the industry’s emerging bottlenecks as artificial intelligence takes on more of the chip development process.
The round was co led by Endiya Partners and Bluehill VC. The company plans to use the capital for product development, customer deployments and engineering expansion across the US, India and Israel.
Founded by Madhulima Tewari, Kenneth Roe and Avner Landver, VerifAIX is building technology designed to help semiconductor companies verify increasingly complex chip designs while reducing the amount of manual work required from engineering teams.
From AI assisted design to AI assisted verification
The company’s platform is centered on what it calls a “Formal Brain,” combining AI reasoning with mathematically grounded methods to understand a chip’s specifications and intended behavior.
VerifAIX’s system is designed to connect specifications, design implementations and verification assets, allowing engineers to identify gaps and inconsistencies and use that information across formal verification, simulation, coverage and debugging.
The approach comes as semiconductor companies accelerate investments in AI assisted engineering.
Cadence, for example, launched its ChipStack AI Super Agent in February 2026 to automate parts of chip design and verification. The company reported productivity improvements of up to 10X across tasks including RTL and testbench development, verification planning, regression management and debugging.
For startups operating in semiconductor software, the shift creates an opportunity to address parts of the development process that become increasingly difficult to manage as AI generates more engineering output.
VerifAIX is focusing on that verification layer.
“AI is changing how semiconductor designs are created, but generating a design is not the same as proving that it is correct,” said Madhulima Tewari, CEO of VerifAIX. “The industry urgently needs an independent layer of trust that can establish correctness and preserve traceability to design intent, and we’re building that. This funding enables us to deepen the technology, expand our engineering capabilities and take the platform to increasingly complex designs and a growing set of customers.”
Expanding across the semiconductor ecosystem
VerifAIX says its technology has already been deployed at semiconductor companies on real world verification challenges involving complex control logic and protocols.
The startup’s founding team brings experience across AI, electronic design automation, formal verification and semiconductor engineering. The new funding will allow the company to expand its engineering capabilities while supporting additional customer deployments.
The company’s strategy also reflects a broader change in how semiconductor development is being organized. As AI tools become capable of generating RTL, testbenches and other engineering artifacts, verification has to evolve alongside them.
In June, Cadence introduced a fully autonomous version of its ChipStack platform that uses AI agents to run dynamic simulations and formal verification. The company reported more than 40X faster RTL validation cycles in deployments, reducing a typical five week verification loop to less than a day.
That acceleration could increase demand for technologies capable of independently establishing whether AI generated designs satisfy their intended specifications.
VerifAIX is betting that mathematical rigor can provide that foundation. Its platform is designed to combine AI’s ability to reason across complex engineering information with formal methods that can provide stronger evidence of correctness.
For the company, the $5 million round marks a step toward establishing that approach as part of the emerging infrastructure for AI driven semiconductor development.
