
Uniphore Raises Funds from Nvidia, AMD, Snowflake, Databricks

Uniphore, a business artificial intelligence platform, has secured $260 million in its Series F funding round from major technology companies including Nvidia, AMD, Snowflake, and Databricks, bringing its cumulative funding to $870 million.
According to Umesh Sachdev, co-founder and CEO of Uniphore, this Series F funding represents a significant achievement for the company. He notes that this fundraising effort stands out as it includes not only leading financial investors but also partnerships with premier AI and data enterprises globally.
The funding round also featured participation from New Enterprise Associates (NEA), March Capital, BNF Capital, National Grid Partners, and Prosperity7 Ventures. The capital will be utilized to enhance development of the Business AI Cloud, which serves as Uniphore's primary AI and data orchestration solution.
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Prior to this funding announcement, Uniphore completed the acquisition of Orby AI, a company specializing in AI-native technology that creates enterprise-level AI agents designed to monitor and replicate user behaviors. The company has also revealed intentions to purchase Autonom8, a Chennai-headquartered automation business focused on developing and streamlining customer service and internal operational processes.
The company's previous funding occurred in 2022 when it obtained $400 million during its Series E round, spearheaded by NEA, establishing a company valuation of $2.5 billion. That round included investments from March Capital, Sanabil Investments, and Sorenson Capital Partners. The current Series F round maintains the same company valuation.
Additional significant investors comprise Chiratae Ventures, Iron Pillar, 360 One, IIFL Finance, Sistema Asia, CXO Fund, ITP, the Patni family, Infosys co-founder Kris Gopalakrishnan, and Sorenson Capital Partners.
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The capital will be utilized to enhance development of the Business AI Cloud, which serves as Uniphore's primary AI and data orchestration solution.
Business executives encounter substantial difficulties with scattered data, since merely one-third of companies handle insights in a structured manner. The majority depend on isolated systems or improvised vendor combinations, creating measurement obstacles and reducing artificial intelligence effectiveness. Sector specialists observe that although investment has grown alongside technology implementation and elevated management expectations, system integration continues to be the main bottleneck.
The marketplace has evolved toward autonomous AI platforms capable of independently managing operations while consolidating dispersed data repositories. Uniphore claims its solution tackles these issues using independent, modular AI framework featuring built-in data functionalities.
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This investment cycle demonstrates widespread industry acknowledgment that market superiority stems not solely from computational methods but from the caliber, depth and connectivity of corporate information that drives AI infrastructure, which is exactly the challenge Uniphore purports to address.