OctoML Stock

octoml.aiEnterprise Software / Data IntelligenceFounded: 2019Funding to Date: $132.6MM

OctoML is a machine learning deployment platform with a mission to make machine learning more accessible. Its technology generates production-ready software functions that easily integrate with an organization's existing application stacks and DevOps workflows. The company's technology offers a managed service using machine learning to automate machine language code generation and optimization in multi-cloud environments ensuring that the models keep on running at peak efficiency, providing businesses with secure deployments of deep learning models.

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Management Team

Tianqi Chen
Co-Founder & Chief Technologist
David Messina
Chief Marketing Officer
Luis Ceze Ph.D
Co-Founder, Chief Executive Officer & Board Member
Jared Roesch
Co-Founder & Chief Technology Officer
Jason Knight Ph.D
Co-Founder & Vice President, Machine Learning

Board Members

Matthew McIlwain
Madrona Venture Group
Michael Dauber
Amplify Partners

OctoML’s stock FAQs


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OctoML is a privately held company and therefore does not have a public stock price. However, you may access OctoML’s private market stock price with Forge Data.

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OctoML does not have an official ticker symbol because this company is not currently publicly traded.

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News Highlights

Cutting AI/ML cloud spend: OctoML works to make AI more sustainable

With big disruptors like ChatGPT and Bing giving the world a glimpse of what’s possible with artificial intelligence at full strength, companies globally are joining the trend of becoming artificial intelligence-native and operationalizing machine learning models.

The AI computing boom: OctoML targets machine learning workload deployment

The artificial intelligence scene is currently at a major inflection point, and solutions providers are cropping up to address specific pain points. One of those is OctoML Inc., whose value promise is improved speed and efficiency in deploying enterprise machine learning workloads. OctoML was spun out of the University of Washington by the creators of Apache TVM, an open-source stack for ML portability and performance.
Updated on: Jul 17, 2024


Public news articles listed on this page have been curated by Forge based on several factors including, but not limited to, product updates, changes in organization structure, funding rounds, third-party valuations, and key personnel changes. Changes to this list of articles can be made at any time without notice and should not be relied upon for investment purposes. Forge does not verify the accuracy of the information contained in public news articles.