Reltio: Intelligent Data Graphs Power Enterprise AI
Reltio was founded in 2011 as the first cloud native, modern master data management and unified data platform.
Its purpose was clear from the outset: to take core organisational data, spanning customers, products, prospects and locations, and deliver a complete, accurate and connected view of that information.
The platform enriches this foundational data with relationships, interactions and transactions, forming what Matt Kehoe, Managing Director Financial Services Industry at Reltio, describes as a "relatively intelligent data graph".
This intelligent graph approach marks a significant evolution in how enterprises manage and use their data. A decade ago, most organisations focused their data strategies on regulatory reporting, compliance and risk management.
These were the areas where data maturity first took hold. As expectations grew, the value of data broadened towards customer satisfaction and engagement.
Today, with the rapid acceleration of generative AI, demand for high-quality, unified data has exploded across entire organisations.
We take all that core data across your organisation – customer, product, prospect, location – and give you an accurate, complete view of that data, then marry it with relationships, interactions and transactions.
Connecting trusted data to intelligent action
Matt explains that the company has built a bridge between an enterprise’s trusted data and the large language models and autonomous agents now reshaping workflows.
This bridge enables intelligent action rooted in authoritative information, rather than siloed or inconsistent data sources.
At its simplest, the solution ensures that AI systems draw from accurate and governed data, not fragmented or duplicated datasets.
Reltio has rolled out a suite of capabilities on top of its data cloud to support this connection. Central to this is an MQTT server, which acts as the backbone linking trusted enterprise data, AI models and autonomous agents.
Alongside this infrastructure is a growing set of agents designed to enhance data stewardship, strengthen data quality and automate business workflows such as product recommendations.
We have created this bridge between the trusted data in the organisation and all those large language models and autonomous agents – a way of connecting trusted data with intelligent action.
From human-driven tasks to autonomous decisioning
Matt highlights that the technology is not only about storing and organising information.
It is designed to shift organisations from human-driven, manual tasks to autonomous operations supported by strong governance.
These agents analyse and act on data in real time, reducing the burden on teams who previously handled these processes manually.
By improving data quality, automating stewardship and streamlining workflows, the platform helps organisations scale their AI ambitions without compromising reliability or accuracy.
As generative AI becomes embedded across business functions, the need for trustworthy, interconnected data becomes even more essential.
It really starts to move the needle from tasks that were so human-focused to being much more autonomous, while putting the right governance around them.
The strategic impact for enterprises
At the platform level, the intelligent data graph provides a single foundation for how businesses structure and interpret their most critical information.
At the organisational level, it changes how teams work. Tasks that once required extensive human oversight can now be automated, freeing people to focus on strategy, customer experience and innovation.
As enterprises push further into generative AI, the ability to anchor these systems in trusted data and link that data to intelligent agents will increasingly define competitive advantage.
Reltio’s platform shows how this transition begins: by unifying data, governing it effectively and giving AI the context it needs to act with confidence.
