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Hybrid cloud data management startup CTERA Networks targets AI workloads after raising $80M - SiliconANGLE
Hybrid cloud data management startup CTERA Networks targets AI workloads after raising $80M Hybrid cloud data management startup CTERA Networks Ltd. said today it's aiming to expand its presence in the "data intelligence" business after closing on an $80 million funding round. Today's investment
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Ctera CEO On New $80M Growth Funding, Plans For AI Intelligence In File Services
'You want AI to understand the conditions of the data and to act according to the data they provide. So this creates a big opportunity for connecting existing data platforms into AI systems and serving them with all the permission sets and all that. That's the premise of the data intelligence
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CTERA Announces $80m Growth Investment from PSG Equity
New York, NY, July 17, 2024 (GLOBE NEWSWIRE) -- CTERA, a leader in hybrid cloud data management, today announced that it has raised $80 million in primary and secondary funding from PSG Equity, a leading growth equity firm focused on software and technology-enabled services companies. As part of
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CTERA Networks, a leader in hybrid cloud data management, has raised $80 million in growth funding. The company plans to use this investment to expand its AI capabilities and strengthen its position in the enterprise file services market.

CTERA Networks, a prominent player in the hybrid cloud data management sector, has successfully secured $80 million in growth funding. The investment round was led by PSG Equity, with participation from existing investors Viola Group, Vintage Investment Partners, and Firstime Ventures
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. This significant financial boost is set to propel CTERA's expansion plans and enhance its AI-driven capabilities in the enterprise file services market.The newly acquired funds will be strategically allocated to accelerate CTERA's growth initiatives, with a particular focus on integrating artificial intelligence into its product offerings. Liran Eshel, CEO and co-founder of CTERA, emphasized the company's commitment to innovation, stating, "We are excited to leverage this investment to bring AI-powered intelligence to enterprise file services"
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.CTERA plans to enhance its platform with AI-driven features such as intelligent data classification, automated policy enforcement, and predictive analytics. These advancements aim to provide enterprises with more efficient data management solutions, particularly in handling unstructured data across hybrid cloud environments.
The investment comes at a crucial time when organizations are grappling with the challenges of managing vast amounts of unstructured data across distributed environments. CTERA's hybrid cloud file services platform addresses these challenges by offering a unified solution that combines the benefits of cloud scalability with the performance and security of on-premises infrastructure.
With the growing adoption of AI and machine learning workloads, CTERA recognizes the need for more sophisticated data management tools. The company's enhanced platform will enable enterprises to better organize, protect, and derive insights from their data assets, regardless of location or scale
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CTERA's innovative approach to hybrid cloud data management has not gone unnoticed in the industry. The company has been recognized as a Visionary in Gartner's Magic Quadrant for Distributed File Systems and Object Storage for three consecutive years
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. This latest investment is expected to further solidify CTERA's position as a leader in the space.As part of its growth strategy, CTERA plans to expand its global presence, strengthen its partner ecosystem, and invest in research and development to stay ahead of evolving market demands. The company's focus on AI-driven solutions is aligned with the broader industry trend towards more intelligent and automated data management practices.
For CTERA's enterprise customers, this investment translates to enhanced capabilities in managing their data infrastructure. The planned AI integrations promise to deliver more efficient data operations, improved security measures, and deeper insights into data usage patterns. These advancements are particularly crucial for organizations dealing with sensitive information or those operating in highly regulated industries
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