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Cloud-optimization company, Exotanium, secures $5M seed funding to offer customers cloud savings 20-Apr-2021 1:25 PM EDT, by Cornell University
Newswise ITHACA, N.Y. – Exotanium, a cloud resource optimization and management company, announced today that it has completed a $5 million seed funding round led by Walden International and Nepenthe Capital LLC.
This latest round of funding builds on an exceptional year for Exotanium, which has seen an increase in demand for cloud-optimization solutions as organizations continue to shift their operations online and search for high-quality, budget-friendly cloud management solutions. In the past year, Exotanium has raised $5 million in funding and completed a successful pilot with the software company, Autodesk, Inc.
April 16, 2021
As more enterprises continue to expand their online operations due to the pandemic, the need for high-quality and budget-friendly cloud-optimization solutions are on the rise renting servers in the cloud from cloud providers can easily consume 50% of a company’s revenue. Exotanium, a software startup founded by faculty and researchers in the Cornell Ann S. Bowers College of Computing and Information Science and based on technology licensed through Cornell’s Center for Technology Licensing, helps companies reduce wasteful spending and leverage available cloud resources more efficiently.
Earlier this week, Exotanium announced completing a $5 million seed funding round led by Walden International and Nepenthe Capital LLC. This latest round of funding builds on an exceptional year for Exotanium, which also completed a successful pilot with software company, Autodesk, Inc.
Snorkel AI Launches Application Studio, the Fastest Way to Develop AI Applications, and Raises $35 Million in Growth Funding Led by Lightspeed Venture Partners
April 07, 2021 12:06 ET | Source: Snorkel AI Snorkel AI Palo Alto, California, UNITED STATES
PALO ALTO, Calif., April 07, 2021 (GLOBE NEWSWIRE) Snorkel AI, the company accelerating enterprise AI application development and deployment through programmatic data labeling, today announced Application Studio, a visual builder with templated solutions for common AI use cases based on best practices from hundreds of deployments and research at top academic institutions over the last six years. Application Studio is in preview and will be generally available later this year within Snorkel Flow, the first AI development platform to programmatically label data and train, deploy and analyze models iteratively.