Baseten Raises $1.5 Billion at a $13 Billion Valuation as Investors Pile Into the AI Inference Layer
AI inference platform Baseten closed a $1.5 billion Series F at a $13 billion valuation, lifting total funding past $2 billion and underscoring how aggressively venture capital is chasing the infrastructure that serves AI models.
Overview
Baseten, a San Francisco company that runs and scales AI models for other businesses, has raised a $1.5 billion Series F at a $13 billion valuation, according to Baseten. The round, announced June 22, 2026, lifts the company’s total funding to more than $2 billion, according to The SaaS News. It is one of the largest financings yet for a company focused on AI inference — the work a model does after a user submits a prompt — and reflects how aggressively venture capital is moving into the infrastructure layer that serves AI applications.
What We Know
The financing was led by Altimeter Capital, Conviction, and Spark Capital, with Sands Capital and Wellington Management as co-leads, according to Baseten. Additional investors included Battery Ventures, Blackbird, D.E. Shaw Ventures, Durable Capital Partners, Greylock, IVP, Verified Capital, and 01A.
The round was priced across two tranches, with some investors coming in at a $13 billion valuation and others at $11 billion, according to Pulse 2.0. Founded in 2019, Baseten is led by chief executive Tuhin Srivastava, according to The SaaS News.
The raise comes on the heels of a rapid sequence of earlier rounds. The startup announced a $300 million Series E at a $5 billion valuation roughly five months earlier, and that round itself came just nine months after a $150 million Series D, as reported by TechCrunch. TechCrunch first reported on June 18 that the company was close to finalizing the new round, noting it would represent a 160% increase in valuation in less than half a year.
Baseten said its revenue grew 20x over the past year and its inference volume grew 40x, according to Baseten. The company processes more than 1 billion inference calls daily across 87 clusters globally and spanning 18 clouds, according to Pulse 2.0, which also lists customers including Abridge, Clay, Cursor, Lovable, Mercor, and OpenEvidence.
The company described the platform as systems software that manages the entire workload for AI applications, including GPU management, autoscaling, observability, and billing, according to The SaaS News. Baseten said the round would fund recruitment — including a plan to triple headcount — alongside computing resources and an expanded enterprise strategy, with hiring focused on engineering, research, operations, and go-to-market teams, according to Verdict.
In the announcement, Srivastava said: “The future of AI will be built on millions of specialized models, and the companies building the best ones know that post-training has become existential,” according to Pulse 2.0.
Why It Matters
The deal is the latest sign that investors are pouring large sums into companies building the inference layer, as reported by TechCrunch, which described inference as what a model does after a user submits a prompt. TechCrunch reported that Baseten aims to handle inference quickly while controlling costs by routing requests to the best-for-task model, especially to less-expensive open-source alternatives.
Baseten framed the financing as a way to keep pace with demand. “This financing allows us to invest aggressively in the compute, software, and talent required to support our customers as AI becomes central to their products and businesses,” the company said, according to Baseten.
What We Don’t Know
Neither Baseten’s primary announcement nor the secondary coverage reviewed here disclosed the company’s current revenue in absolute dollar terms, its profitability, or the precise closing terms tied to the two valuation tranches. The reporting also does not specify how the company allocates capital between leased cloud capacity and its own infrastructure, leaving open questions about margins in a market where pricing pressure from open-source models is intensifying.