Ollama Raises $65M Series B Funding to Grow its Open-source AI Platform

Ollama Raises $65M Series B Funding to Grow its Open-source AI Platform

Ollama Logo

The largest global platform connecting developers with open models announces $88M in total funding

Ollama, the largest developer platform for open models, announced a $65M Series B funding round led by Theory Ventures, with participation from Benchmark, 8VC, Y Combinator, Pace Capital, 49 Palms, GTMFund, and other investors and angels. The round brings Ollama’s total funding to $88M. Benchmark led Ollama’s Series A, with Peter Fenton joining the board.

Ollama makes open models effortless to use. With one command, developers can run an open model and put it to work locally on their own hardware, then scale to larger, more powerful open models in Ollama’s cloud. That simplicity is why 8.9 million developers have made Ollama the largest developer network in the open model ecosystem, with over 67,000 integrations. Ollama is used within 85% of the Fortune 500, including customers in deeply regulated industries such as government, healthcare, and finance.

Read More: SalesTechStar Interview with Ilyas Kurklu, Co-founder and CEO of Replenit

“Open models should be easy to run, easy to build with, and available wherever people need them — on your own machine, in the cloud, or both,” said Jeffrey Morgan, CEO and Co-Founder of Ollama. “Ollama started as an open-source project, and has since grown into a community of millions of developers. Everything we do next is in service of that community and their best work. The future of AI is open models running everywhere work gets done — and Ollama is here to power this shift.”

Read More: You Have Cloned Your Voice. Now Your AI Is Making Cold Calls

How Ollama works

  • Start local, scale in the cloud. Ollama provides the choice between local and cloud with no change in experience. If the machine is powerful enough, the model runs locally; if not, Ollama’s cloud offers the same experience, no configuration change, no new account, no new API to wire up. This dramatically reduces the per-token costs of AI for quick, low-latency tasks and more demanding, resource-intensive work alike.
  • Privacy. Ollama does not train on user data, and when running locally, data never leaves the user’s own machine. This enables use in regulated industries and allows businesses to entrust Ollama with their data even when accessing larger models in the cloud.
  • Integrations. Ollama connects to the tools developers already use, with more than 67,000 integrations built by the community on GitHub: coding agents, personal assistants, document workflows, and much more.
  • Partnerships and early access. Ollama is a distribution and early-access partner for the large majority of open model labs, including Meta, Google DeepMind, Mistral, and MiniMax, and for hardware companies including NVIDIA, Intel, AMD, and Qualcomm. Ollama users get day-zero access to new models and faster performance through deep hardware integration.

“Every era of computing has had a platform layer that everything else plugs into. As open models close the gap for most real work, the platform where AI runs becomes one of the most valuable positions in software,” said Tomasz Tunguz, General Partner at Theory Ventures. “That market is expanding fast: AI is making software creation more accessible, and every professional can now build their own workflows and tools. Jeff and Michael recognized that shift early on, and built Ollama to meet those people where they already work.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.