Datatron
Engineering Software · California, United States · 11-50 Employees
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Overview
Headquarters
185 Clara St Ste 101A, San Francisco, Ca...Website
www.datatron.comRevenue
<$5 MillionIndustry
About Datatron
Datatron Org Chart
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Datatron is experiencing very low activity levels compared to other companies in the Software sector.
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Datatron financials insights
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Other Financing Round
$2.7M
Debt
$150K
Datatron Tech Stack
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Datatron News & Media
Leading Pharma Company Brings Products to Market Faster with Datatron's MLOps and AI Governance Solution
SAN FRANCISCO, Dec. 14, 2021 /PRNewswire/ -- Datatron announced today that a leading pharmaceutical company has selected its MLOps framework, enabling increased productivity and the ability to build the best AI for the organization. The pharmaceutical company needed a solution that could...Improving Your Odds of ML Success with MLOps
In this special guest feature, Harish Doddi, CEO, Datatron, discusses what CEOs need to understand about using MLOps. He also shares insights on how to use MLOps to gain competitive advantage and provide tips on how to implement it.Datatron Introduces New Features to MLOps and AI Governance Solution
SAN FRANCISCO, Oct. 19, 2021 /PRNewswire/ -- Datatron announced today enhancements to its MLOps and AI governance solution, making it even easier for enterprises to catalog, operationalize, monitor and govern AI/ML models. Click to Tweet: @datatron adds new functionality to Reliable AI™...Datatron Awarded U.S. Patent for Methodology for Modeling Machine Learning and Analytics
SAN FRANCISCO, Sept. 28, 2021 /PRNewswire/ -- Datatron has received a new U.S. patent for its methodology for modeling machine learning and analytics, the company announced today. This expands Datatron's patent portfolio for machine learning (ML) methods and technologies in a production...
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Frequently Asked Questions Regarding Datatron
Datatron is helping enterprises harness the awesome power of machine learning The ability of large companies to govern their ML models has far exceeded their infrastructure and the bandwidth of their Engineering and Data Science teams. Building models isnt the problemits organization. Were building Datatron to fix this, by speeding up deployments,... Read More