Why would rival chipmakers and competing data platforms: NVIDIA, AMD, Snowflake, and Databricks, all invest together in a single startup? Because Uniphore is trying to build the layer that connects their worlds: the point where data, models, and AI agents meet inside large companies.
“Our Series F raise marks an exciting milestone for Uniphore. It is unlike most fundraises because, in addition to top-tier financial investors, we are joined by the world’s top AI and data companies,” said Umesh Sachdev, co-founder and CEO of Uniphore.
Hemant Dhulla, vice president of NVIDIA AI Software, added: “By combining a sovereign and secure approach with seamless model orchestration and rapid deployment of AI agents, Uniphore is helping organizations unlock meaningful business outcomes while maintaining control of their data and workflows”.
The message behind this round is not about scale, but about position.
Uniphore has convinced major infrastructure players that it is the future of infrastructure for enterprise AI. And those players would rather invest in the infrastructure than be left outside it.
What Uniphore Actually Does
Uniphore calls its product the Business AI Cloud, launched in June 2025.
The platform connects a company’s data, knowledge, models, and AI agents without forcing them to move information or lock into one vendor’s system.
Its architecture includes four layers: a data layer that connects to any application or cloud; a knowledge layer that turns enterprise information into structured context; a model layer that adds governance, security, and observability; and an agentic layer that lets teams deploy and orchestrate AI agents across workflows.
Harsha Kapre, head of Snowflake Ventures, explained why that matters: “Our investment in Uniphore is about bringing powerful agentic AI directly to our customers’ data. By supporting Snowflake natively, Uniphore enables businesses to securely automate complex workflows, helping them realize value faster without ever moving their data”.
In effect, Uniphore sits at the intersection of compute, data, and models. It acts as a neutral coordination layer that helps enterprise systems communicate, a missing piece in many AI rollouts.
AI projects often stall because data, tools, and workflows operate in silos. Uniphore claims its platform bridges those silos for more than 2,000 enterprise customers, including Allstate, Dell, Priceline, Atlassian, Skechers, The Washington Post, KPMG, and Konecta.
The company’s recent acquisitions, ActionIQ and Infoworks in December 2024, followed by Orby AI and Autonom8in August 2025, expanded this foundation.
Together they added customer-data, integration, and low-code workflow capabilities, strengthening each layer of the Business AI Cloud.
Why These Investors Moved Now
The timing of this round explains its importance.
Enterprises are moving from AI pilots to production systems, and the infrastructure required to run them securely is still taking shape.
The first reason the four companies invested is the growing need for a neutral orchestration layer.
Businesses now deploy AI across multiple clouds, data stores, and models; they need something that ties those environments together.
Dan McNamara, senior vice president and general manager for Server, HPC and Enterprise AI at AMD, said: “Uniphore’s Business AI Cloud delivers the performance, efficiency, and security enterprises require. As a leader in business AI, Uniphore has a strong track record of enabling Fortune 500 customers to move from AI pilots to production at scale”.
The second reason is strategic self-interest.
Each investor operates in a different layer of the AI stack, and all want to make sure their technology remains connected as the market consolidates.
Andrew Ferguson, vice president at Databricks Ventures, put it this way: “Our customers want to move generative AI apps and agents from proofs of concept to full-scale deployment without friction. Uniphore’s Business AI Cloud helps organizations streamline data access, model interoperability, and agent orchestration, and ultimately turn AI initiatives into real business outcomes”.
By investing, Databricks, Snowflake, NVIDIA, and AMD are ensuring that whichever models or architectures win, their own ecosystems stay in the loop.
The third reason is timing within the market cycle.
Enterprise AI is entering a production phase, where success depends less on the latest large language model and more on governance, integration, and measurable ROI.
The Series F round, $260 million at a flat $2.5 billion valuation, brings Uniphore’s total funding to about $870 million.
The unchanged valuation from its $400 million Series E in 2022 reflects a realistic market, but also confidence from both financial and strategic investors that Uniphore’s platform has reached commercial maturity.
A Signal About Where Enterprise AI Is Going
This coalition says more about the state of enterprise AI than about Uniphore alone.
The field is moving from experiments, single chatbots, demo pilots, toward agentic automation, where AI systems perform multi-step work across departments under tight controls.
Uniphore is one of the companies trying to supply the underlying architecture for that transition.
Gerry Murray, research director at IDC, described the funding round as “an unprecedented validation of Uniphore’s position at the center of enterprise AI infrastructure.”
He added that it “signals broad consensus around a critical enabling layer: infrastructure that can securely connect data, knowledge, models, and agents across ecosystems”.
That description captures exactly why Uniphore’s backers are normally competitors: whoever controls that enabling layer will shape how enterprise AI is deployed and governed.
For Uniphore, the implications are significant.
The company is no longer defined as a conversational-AI vendor; it has become a business-AI platform provider. The steady valuation paired with strategic backing shows investors view it as stable infrastructure, not a speculative bet.
With a broad customer base across regulated industries and recent product extensions, Uniphore has the credibility to make that claim. The challenge now is execution.
The company must prove it can deliver measurable business outcomes (not just proofs of concept) and scale faster than larger incumbents such as UiPath, Aisera, Kore.ai, and Cognigy, which operate in adjacent markets.
The logic behind the investment is evident in the statements from its backers.
“This investment is an unprecedented validation of Uniphore’s position at the center of enterprise AI infrastructure,” said Gerry Murray of IDC.
Each investor pointed to a shared need: secure orchestration across data, models, and agents.
By investing, NVIDIA, AMD, Snowflake, and Databricks are reinforcing a platform that helps their technologies work together in enterprise settings.
