Ollama raises $65M Series B; 8.9M developers, 85% Fortune 500, 14-person team powers open-model shift

<cite index="41-1,41-2">Ollama raised $65M Series B led by Theory Ventures, with Benchmark, 8VC, Y Combinator and others joining, bringing total funding to $88M three years after launch. Founder and CEO Jeff Morgan, co-founder Michael Chiang, and their 14-person team serve 8.9 million monthly developers across 85% of Fortune 500 companies in government, healthcare, and finance.</cite> <cite index="41-2">Ollama lets developers download an open-weight model and run it locally in a single command; if a laptop cannot handle a larger model, Ollama's cloud runs it instead with the same setup, billing by GPU time rather than per token.</cite>

<cite index="44-2">Morgan and Chiang previously built Kitematic, which Docker acquired in 2015 and became Docker Desktop, used by more than 10 million developers—the same infrastructure-abstraction playbook repeated for open models.</cite> <cite index="41-4">Benchmark's Peter Fenton, who led the Series A, frames open versus closed as a shift not a war, but firms with heavy inference bills have strong reason to move to open models, then lean on closed ones like Anthropic only as needed.</cite> <cite index="41-4">Ollama hosts heavyweight open models: Nemotron, GLM, DeepSeek, Kimi, and MiniMax, and is a distribution partner for model labs and chipmakers Nvidia, AMD, Intel, and Qualcomm, giving users day-one access to new models.</cite>

<cite index="41-5">Open-source advocates accused Ollama roughly a year ago of enshittification for pushing its paid cloud tier, but Morgan and Fenton push back: the free desktop app has not changed, and the cloud simply reaches models too big to run at home.</cite> <cite index="41-4">Fenton predicts that open-weight models will generate the supermajority of tokens within 18 to 24 months, positioning the platform layer that runs them as valuable ground.</cite> <cite index="43-2">Ollama adds nearly one million installs per week and is used inside 85% of the Fortune 500 with minimal enterprise sales overhead, driven by bottom-up developer adoption and privacy compliance for regulated industries.