Modal Labs in talks for new round as AI inference heats up
San Francisco-based Modal Labs is reportedly in discussions with venture capital firms about a new financing round that would value the company at roughly $2.5 billion, according to people familiar with the matter. If completed at those terms, the deal would more than double the company’s prior $1.1 billion valuation, set less than five months ago when it announced an $87 million Series B.
General Catalyst is said to be in talks to lead the round, according to industry reports. The company’s annualized revenue run rate is reportedly around $50 million, underscoring growing demand for tools that make deploying AI models cheaper and faster.
Why inference is becoming the new battleground
As generative AI adoption accelerates, attention is shifting beyond model training to AI inference—the process of running trained models to respond to user prompts in real time. For enterprises rolling out AI products at scale, inference performance and cost efficiency can directly impact margins, latency, and user experience.
Modal Labs focuses on improving inference workflows, a niche that has attracted outsized investor interest as AI becomes embedded into everyday software and services.
Founder pedigree and competitive landscape
Modal Labs was co-founded in 2021 by Erik Bernhardsson, who previously led data teams at Spotify and served as CTO at Better.com. The startup’s earlier backers include Lux Capital and Redpoint Ventures.
The broader inference market has seen rapid valuation expansion. Competitor Baseten recently raised $300 million, lifting its valuation from $2.1 billion in September to $5 billion. Another rival, Fireworks AI, raised $250 million at a reported $4 billion valuation in October—signaling an intensifying “infrastructure gold rush” around inference.
Related
