Working with complex enterprise data once required extensive technical expertise. That barrier is lowering, as demonstrated by data integration platform provider Nexla Inc.’s launch of a conversational data engineering platform designed to make the process more accessible.

In November 2025, Nexla unveiled Express, a conversational interface that addresses one of the bottlenecks in AI adoption: integrating data from multiple sources to create context for AI. Development teams can describe their data needs conversationally and have secure, production-grade pipelines built and deployed automatically without writing code. Express is now available in the AWS Marketplace.

“Just like Cursor and Claude Code have allowed people to build software very easily, we have created a system where you can converse and build your data connections within the enterprise super quickly and bring all that data into your application,” said Saket Saurabh (pictured), co-founder and chief executive officer of Nexla. “So, what you’re looking at is an Express product available in AWS Marketplace — click and get started on it right away — and build to your actual business goals.”

Saurabh spoke with John Furrier, co-founder and CEO of SiliconANGLE Media Inc., for the AWS Marketplace Series on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Nexla’s natural language solution helps enterprise customers derive greater value from AI platforms. (* Disclosure below.)

Data integration and context for agents

The arrival of Nexla’s Express product is a timely addition to an enterprise landscape that is teeming with AI agents. The company’s AI-powered data platform has more than 550 bidirectional connectors that can deliver data and context to support autonomous tasks.

“Agents are where the rubber meets the road and enterprises can actually create real value that is measurable,” Saurabh said. “One key way in which agents become effective is that they are able to interact with enterprise systems. Nexla’s unique value comes from its ability to combine data from real-time systems, large-scale data warehouses and documents to create powerful data products that are AI-ready and encapsulate rich context for agents.”

That ability to deliver context is a central part of Nexla’s value proposition. The company’s converged integration is built on a metadata foundation that delivers live, permission-aware context to agents at decision time, processing over 10 trillion records per year for customers such as DoorDash, LinkedIn, Johnson & Johnson and American Express.

“Agents, when we are trying to bring them to work as a system that can take actions for us and do the work, [they] don’t have any of that know-how,” Saurabh told theCUBE. “That’s where context becomes a very important piece. Going through the different systems, taking the data from them, going through the documents, going through a lot of the knowledge sources inside the enterprise, building the context there, all of that is happening in Express.”

Nexla’s Express solution also provides context compounding to address industry concerns around AI hallucinations caused by stale or incorrectly permissioned data. Nexla’s agentic probe dynamically finds and suggests data across relevant data products, enabling agents to receive accurate, traceable context rather than generic data that degrades AI output quality, When we are trying to bring them to work as a system. Delivering that context demands system-to-system communication, which Saurabh described as an important consideration.

“The breadth that is needed for AI adoption is massive,” he said. “You cannot have your HR team or your procurement team or your finance team adopt AI if AI is not talking to the systems that they’re working with day to day.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the AWS Marketplace Series:

(* Disclosure: TheCUBE is a paid media partner for the AWS Marketplace Series. Neither AWS, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE