Phinity Labs raises $5.2M to design chips from text prompts
What's the deal? PhinityDealroom has a profile for this one. Try Dealroom → Labs, a San Francisco startup that designs custom computer chips from text prompts, has raised $5.2 million in seed funding. Uncork Capital led the round, with backing from Moxxie VenturesDealroom has a profile for this one. Try Dealroom → and angel investor Jeff DeanDealroom has a profile for this one. Try Dealroom →. The company emerged from a pre-seed round led by Pear's PearXDealroom has a profile for this one. Try Dealroom → program.
What's the endgame? Phinity's software agents handle the full chip design process: architectural planning, verification testing, and tapeout preparation. The goal is to deliver production-ready GDS files in weeks rather than the months or years typical today, a timeline it targets by 2028.
How it works: Phinity frames the technology as a closed-loop system in which AI agents design a chip, measure its performance against specifications, then iterate on physical feedback. It claims the system produces verified designs faster than experienced engineers using current coding tools, with better power, performance, and die-area metrics.
By the numbers: Phinity says it has reached an eight-figure annualized run rate, with Uncork general partner Amy Saper posting on LinkedIn that the startup hit that milestone in under three months. These figures are company-reported and unverified, and Phinity has not disclosed its customers or valuation.
The team: Cofounder Sonya Jin previously built synthetic data pipelines for NVIDIA's chip design tools and researched graph machine learning at Amazon's AI Lab. Cofounder Aadi Nashikkar is a repeat founder experienced in synthetic data and model post-training. The roughly eight-person team also includes hires from IntelDealroom has a profile for this one. Try Dealroom →'s custom silicon division, Kepler Computing, and NVIDIA.
What's next? The company plans to use the capital to grow its engineering team and scale the infrastructure behind its agent systems. It is recruiting for chip design and AI systems roles.
What could go wrong? Phinity races established players. Synopsys and Cadence, which dominate electronic design automation software, have spent years embedding AI into their toolchains — Synopsys reported its first 100 commercial tapeouts using DSO.ai in early 2023. Academic work on agentic chip design remains early, and its commercial viability is an open question.
The signal: The round lands as AI companies face mounting pressure to secure dedicated computing resources, pushing custom silicon closer to foundation model labs. Phinity's bet is that automation can compress one of tech's most labor-intensive processes from years to weeks.
Read more: founderland.ai
Image credit: le_hollandais_volant
