
The Canadian-founded startup now has 9M users and 85% Fortune 500 adoption. CEO Jeff Morgan says AI is having its 'personal-computer moment.'
Canadian-founded Ollama has closed a $65 million USD Series B to push open-source AI models onto personal computers, bypassing the cloud. The Palo Alto-based startup lets developers download and run large language models like Llama 3, Mistral, and Gemma directly on their own hardware.
CEO Jeff Morgan told BetaKit the company now counts nearly 9 million users, including 85 percent of the Fortune 500. The 14-person shop is adding about 100,000 users per week, he said.
The round was led by Theory Ventures, a new U.S. investor, with help from Benchmark, Y Combinator, Kitchener-Waterloo's Garage Capital, and Vancouver-based GTMfund. The financing brings Ollama's total raised to $88 million. Morgan said the money will fund product development and computing power. He also said the company plans to hire key staff.
Morgan and co-founder Michael Chiang met at the University of Waterloo. They previously built Kitematic, an open-source tool that simplified running Docker containers. Docker acquired that startup in 2015, and it became Docker Desktop, now used by over 10 million developers daily. The pair is now betting on a similar shift for AI.
Ollama was initially based in Toronto. It relocated to Silicon Valley, Morgan said, because "the Bay Area is the epicentre of AI." The startup's growth mirrors a broader trend: Canadian founders are increasingly moving to the U.S. to raise capital faster, according to data from Leaders Fund.
Morgan said the local execution model appeals to enterprises that need to keep data on premises. The company claims its platform now supports more than 100,000 open-source models. Developers can iterate faster without sending data to a third-party API.
The round closed in early March. No valuation was disclosed.
Drafted by a large language model from the source reporting linked above, then screened by automated publishing checks. It is not read by a journalist before publication. Some articles cite our Alpha Score. Verify prices and figures against the original source. Educational coverage, not personalized advice.