Data intelligence company Alation Inc. today announced the launch of Alation Agent Builder, an artificial intelligence platform that gives enterprises the ability to deliver production-ready agents.

The new offering, announced at the company’s annual revAlation user conference, gives organizations the ability to build, manage and deploy metadata-aware, configurable AI agents for structured data that have dramatically higher levels of accuracy.

Agent Builder seeks to solve a core challenge: Though structured data powers the financial and operational reporting behind critical business decisions, building AI agents that can reliably act on that data has proven difficult. Alation argues that even if prototypes are easy to create, actually deploying agents in production requires much higher accuracy and governance, as even a single error in a definition, filter or query can significantly compromise results.

With Alation Agent Builder, organizations can create AI agents that can act on structured data with greater accuracy. The agents are metadata-aware and deliver the accuracy, reliability and governance that structured data requires.

Under the hood, the agents leverage the Alation Knowledge Layer, curated and governed data products that draw from the metadata in the Alation Agentic Data Intelligence Platform, to ensure every answer reflects the right business context.

Users of Agent Builder can create agents using a no-code interface, complemented by prebuilt tools and supported integration into more than 100 data sources. The agents can also be embedded into external applications and workflows via Model Context Protocol or REST and are supported by built-in evaluation and monitoring tooling to ensure production reliability.

While only launching today, early testers have seen positive results, such as commercial real estate and investment management company Jones Lang LaSalle Inc. which is using Agent Builder to query structured lease and property data to help inform lease renewal recommendations.

“Powering agents to read from and write to structured data enables enterprises to unlock tremendous value from AI and it’s where precision matters most,” said co-founder and Chief Executive Satyen Sangani. “With Agent Builder, we’re giving enterprises a way to move beyond prototypes and actually build agents that are accurate, governed and enterprise-grade. This is how AI goes from experiments to production.”

Notably, Alation Agent Builder utilizes technology Alation acquired when it purchased AI agents for data workflows startup Numbers Stations Inc. in May for an undisclosed sum. The technology from Numbers Station was delivering customers 90% accuracy with evaluation frameworks, one of the motivations behind Alation’s acquisition of the company.

Image: Alation