Leading data technology company achieves 40% bookings growth and positive cash flow, fueled by rapid enterprise adoption of its AI-powered data foundation.
Reltio®, the context intelligence company, announced record-breaking results for its fiscal year ended January 31, driven by surging demand for trusted data to power enterprise AI and agentic workflows. The company reported annual recurring revenue (ARR) at the end of the year of $185 million, representing significant growth acceleration.
This was a watershed year for Reltio. We didn’t just grow; we validated that the future of enterprise data lies in context intelligence.
Reltio’s momentum underscores the critical market shift from legacy master data management (MDM) to dynamic, AI-ready context intelligence. With Q4 as the largest quarter in Reltio’s history, the company generated significant year-over-year bookings growth of 40%. Reltio also generated material positive cash flow and ended the year with over 200 large enterprise customers.
“This was a watershed year for Reltio. We didn’t just grow; we validated that the future of enterprise data lies in context intelligence,” said Manish Sood, Founder and CEO of Reltio. “As organizations rush to deploy AI agents and automate complex decisions, they are realizing that data accuracy alone isn’t enough—they need real-time context. Our financial performance and expanding roster of category-leading customers prove that Reltio is an essential foundation for this new era.”
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Adoption of the Reltio enterprise platform accelerated significantly among the world’s largest enterprises across life sciences, healthcare, insurance, financial services, B2B and B2C segments last year:
- The company’s first enterprise agreement with greater than $10MM ARR
- 49 customers now have an annual footprint greater than $1MM
- FY26 net-new customer growth of 93%
- 43 customers are Fortune 500 companies
To support and drive this growth, during FY26, Reltio further bolstered its go-to-market leadership ranks with the recent hires of Don Bulmer as Chief Marketing Officer, Alyson Welch as Chief Revenue Officer, and Trish Hayward as Chief AI Business Transformation Officer in FY26. Each professional brings decades of experience and proven leadership from top technology companies, strengthening Reltio’s ability to scale and serve customers as enterprise AI adoption accelerates.
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FY26 Innovation Highlights
In FY26, Reltio delivered major innovations that advanced the Reltio Data Cloud as a System of Context, connecting enterprise data to business meaning so organizations can put agentic AI into production with confidence. Highlights include Reltio AgentFlow™, an agentic AI operations suite designed for secure, real-time data intelligence grounded in trusted data, and Reltio Lightspeed™ Data Delivery Network, which provides global access to critical data in under 50 milliseconds for real-time, customer-facing and other business-critical applications. Lightspeed reduces infrastructure costs through a simplified service architecture, while improving resilience through optional multi-region deployments. At the center is Reltio AgentFlow, which makes stewardship and governance more autonomous and explainable through purpose-built agents.
Pioneering a New Industry Standard: Context Intelligence
As enterprises deploy agentic AI, many are discovering the same constraint: models are powerful, but they often lack company-specific context and the real-time controls required to operate safely at scale. Reltio is a pioneer in addressing this gap using Context Intelligence: the ability to continuously unify data, understand its meaning and relationships, and activate it in real time with governance built for agents running in production.
Context Intelligence goes beyond “AI-ready data,” traditional MDM, and data unification. Warehouses and lakehouses can store and process data, but they were not designed to deliver trusted, governed, real-time context that agents can act on across systems. In the agentic era, enterprises need more than a data platform. They need trusted context: semantic understanding, relationship intelligence, and real-time governance so AI can act with accuracy, accountability, and control.











