San Francisco-based Phinity Labs has raised $5.2 million in seed funding to develop artificial intelligence agents capable of designing computer chips from text instructions, with plans to automate the process from initial architecture development to manufacturing-ready designs.
Founded by Sonya Jin and Aadi Nashikkar, the startup has emerged from stealth mode with backing from Uncork Capital, which led the funding round. Moxxie and several angel investors also participated, including Jeff Dean, Google’s chief scientist.
The funding will support Phinity Labs’ efforts to build autonomous systems that can generate chip designs, evaluate their performance and refine hardware specifications through repeated testing.
Unlike AI tools designed to assist engineers with individual tasks, Phinity is pursuing a broader objective: developing agents that can handle multiple stages of semiconductor design with progressively less human intervention.
The company is working on a system that uses physical feedback to guide design improvements. Under this approach, AI agents would assess the results of a design, identify potential changes and use those findings to produce improved versions.
This process, known as closed-loop optimisation, is central to Phinity’s ambition to automate chip development.
Its proposed technology would span architecture discovery through tapeout, the stage at which a completed semiconductor design is submitted for manufacturing.
The approach could allow AI systems to examine a wider range of chip configurations than engineers can practically evaluate using conventional design methods.
The startup’s ambitions extend beyond speeding up existing chip design processes. Its founders believe autonomous agents could eventually discover computing architectures that traditional engineering approaches might overlook.
“We founded Phinity because we believe the way we design chips has to change if we want to keep pushing the frontier,” Jin and Nashikkar said in their announcement.
They also outlined a longer-term vision of using AI to discover new computational architectures and translate them into physical silicon capable of supporting future artificial intelligence systems.
Phinity’s latest investment follows an earlier pre-seed funding round led by Pear through its PearX programme. The company intends to use the new capital to expand its engineering team, advance its autonomous design agents and strengthen the infrastructure needed to evaluate hardware designs using physical feedback.
Also, with the investment of $5.2 million, some familiar figures in the world of technology and venture capital become shareholders of the firm. Nonetheless, it has not yet been revealed what contribution individual investors made to the firm as well as the value of the firm.
Although there is a roadmap for the development of the technology that Phinity is going to develop, there are still certain aspects of the technology that have not yet been revealed by the firm.
The funding announcement comes as Phinity seeks to move chip development beyond software-assisted engineering towards systems that can independently propose, test and improve hardware architectures.
Whether its technology can deliver that level of autonomy remains to be demonstrated. For now, the investment gives the startup additional resources to pursue an approach in which AI is not merely a tool used by chip designers but an active participant in the design process itself.
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