Today, we are thrilled to announce Baseten’s $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital, co-led by Sands Capital and Wellington Management, with participation from Battery Ventures, Blackbird, D.E. Shaw Ventures, Durable Capital Partners, Greylock, IVP, Verified Capital, and 01A. This is our fourth fundraise in 18 months, and we are grateful for our investors’ conviction and support and, most importantly, for the trust and partnership of our customers.
Over the last year, our revenue has grown 20x, and inference volume has grown 40x. This growth reflects the new market reality — inference is the most important layer in the AI stack, and Baseten has become the partner of choice for companies looking for support with inference and post-training.
We are proud to work closely with the teams defining this era, including Cursor, Notion, Lovable, Harvey, HubSpot, OpenEvidence, Abridge, Decagon, Parallel, and many more. These companies have built products where intelligence is core to the user experience, and their businesses are booming. They are also at the forefront of a wave of companies that are more motivated than ever to own their intelligence. As Satya Nadella shared last week, durable advantage will come from the learning systems companies build around their own data, judgment, workflows, and feedback loops. We see the same thing every day: our customers are building systems shaped by proprietary data, evals, domain-specific harnesses, post-training, and custom RL environments.
The opportunity ahead has never been so apparent: open-weight models have become strong enough that enterprises can now use them as serious alternatives to closed APIs. Baseten’s work is to help companies take advantage of this progress with confidence. Our researchers and engineers embed with our customers, post-train and optimize specialized models, and serve those models with exceptional latency, reliability, observability, and cost at production scale.
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.
If you want to post-train custom models and run inference on the fastest, most reliable platform, we’d love to help. If you want to build the infrastructure layer of AI, we are hiring.
