OctoML helps businesses roll out machine-learning models for hardware. Check out the 22-slide pitch deck it used to raise $85 million led by Tiger Global.
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- Enterprise AI startup OctoML recently raised $85 million in a Series C funding round.
- The Seattle-based startup won the backing of VC giant Tiger Global Management.
- Insider got an exclusive look at the pitch deck OctoML used to bring investors on board.
OctoML, a startup that helps businesses deploy machine-learning models, recently raised $85 million in a Series C funding round led by Tiger Global Management.
The Seattle-based startup was cofounded by Luis Ceze, a computer science professor at the University of Washington, alongside teaching assistants Jared Roesch and Thierry Moreau, and has raised more than $130 million in two years.
Drawing on their combined expertise in machine learning, OctoML offers companies an “acceleration platform” to enable engineering teams to roll out machine-learning models on their hardware.
Speaking at the time of the announcement, Ceze said the rise of AI technology over the past decade had led to engineering teams needing to do an “insurmountable amount of manual work” to keep up to speed.
“OctoML is creating a profound shift in the way organizations build next-generation AI models and applications,” said John Curtius, partner at Tiger Global.
“OctoML’s vision of delivering an unified deployment life cycle for users across all the machine-learning hardware vendors they rely on is making machine-learning development more cost-effective and accessible to a broader set of developers,” he added.
Alongside Tiger Global, OctoML also won the backing of existing investors at Addition, Madrona Venture Group and Amplify Partners.
Insider got an exclusive look at the pitch deck OctoML used to bring investors on board. Check it out below: