We’ve partnered with Uniphore since 2019 — through product cycles and market shifts. Across all of it, the company has shown a rare ability to see through the noise. In 2025, as every enterprise grapples with how to deploy AI reliably at scale, Uniphore has emerged as a leader in this new era of deployment.
The company’s newly announced $260 million Series F, with participation from NVIDIA, AMD, Snowflake, Databricks, New Enterprise Associates (NEA), and March Capital, comes at a critical inflection point. The next decade of enterprise AI will be defined not by who builds the largest models, but by who enables businesses to operationalize AI with flexibility, compliance, and confidence.
From Models to Systems
The first wave of AI innovation focused on model performance — bigger, faster, more capable. The next will prioritize interoperability, reliability, and measurable outcomes. Enterprises don’t want a black box; they want a system they can adapt, extend, and trust.
Uniphore’s Business AI Cloud embodies that shift. It’s the only sovereign, composable and secure AI platform that allows companies to orchestrate multiple models, data sources, and AI agents within their existing infrastructure. It helps them move quickly without being tied to a single vendor or cloud — all while maintaining control over data and compliance. In an era defined by regulatory scrutiny and model churn, this flexibility is a durable advantage.
Where AI Meets Reality
A recent MIT report found that 95% of generative AI projects fail to deliver measurable returns[1]. Enterprises aren’t short on innovation; they’re short on integration. The real bottleneck is operational — connecting models and data to real workflows, across complex systems, while keeping performance and compliance intact.
This is where Uniphore quietly excels. Its customers, like Farmers Insurance and KPMG, are embedding AI into the core of their operations. These are production deployments — systems running at enterprise scale, in regulated environments, delivering measurable outcomes.
Building the AI Ecosystem
The participation of NVIDIA, AMD, Snowflake, and Databricks in this round reflects an architectural alignment. Together, these companies form the connective backbone of enterprise AI: compute, data, and model infrastructure. Uniphore integrates across all of them, giving enterprises the freedom to build on the stack that best fits their needs.
In that sense, Uniphore is less a vendor and more a coordinating layer within the modern AI ecosystem — enabling enterprises to operationalize AI safely, across an increasingly complex technology landscape. We’re exceptionally excited about this positioning.
Why We Continue to Believe
We’ve partnered with Uniphore through multiple evolutions because of its consistent ability to combine technical conviction with operational discipline. Under Umesh Sachdev and Ravi Saraogi, the company has grown to serve more than 2,000 global customers — including broad Fortune 500 adoption — driven not by hype, but by execution.
We believe the next phase of AI leadership will be defined by organizational capability, not just technological advantage. To capture AI’s full value, enterprises will need to rethink how they operate — and they’ll need a vendor-agnostic coordination layer to make that possible. Uniphore’s unique architecture and strong ecosystem partnerships position them as the emerging leader in this transition.
We’re proud to continue supporting Uniphore as it builds the infrastructure for that future.
[1] The GenAI Divide: State of AI in Business 2025 – MIT NANDA
