Dixtra launches: the Business Context Engine that teaches AI how each company works

VALENCIA, June 16, 2026. Exponentia brought Dixtra to market, the first Business Context Engine developed in Europe. Dixtra is built to solve one of the great challenges of enterprise AI.

Generative AI is already inside companies. But its answers about the business itself still inspire little trust: models have an encyclopedic knowledge of the world at large, yet barely know how each company works. That know-how (what each piece of data means, which rule or exception applies) is spread across systems, documents and a handful of people who are highly valuable to the company.

Dixtra works in three steps:

• Discover: it connects to the sources the company already has, with no migrations, and builds a living model of the business.
• Learn: a semantic agent talks with the experts and brings out the knowledge that isn’t written down. Nothing is added without human validation.
• Share: anyone authorized asks in natural language and gets answers suited to their role, with the source cited.

Dixtra grew out of the custom development Exponentia built for the well engineering team at Moeve E&P, in the energy sector. There, every planning decision meant cross-checking production databases, technical reports and the experience of a few engineers by hand. The results, measured by Moeve itself, show the business impact of giving AI the right context:

• 35% less time spent on analysis and planning.
• 15% average efficiency gain in drilling operations.
• 12,000 additional barrels enabled through early identification of opportunities, with a positive economic impact of around $461,000 in a single operation.
• 70 hours a year saved in drilling and related operations.
• An estimated reduction of 60 tonnes of CO₂ per well drilled.

With Dixtra, Exponentia turns that experience into a product any large company can deploy on its own data.