Atlas
Reason with company context.
The reasoning engine gives agents the business knowledge and documents relevant to the task.
Customer story · DICA France
At DICA France, KOREV connects a customer visualization app with a cloud AI infrastructure used by internal teams. Atlas, Evidence and PRISM perform complementary roles.
Source: figures reported by KOREV for an account cohort observed over two months. The window starts when the visual is generated. These accounts are not necessarily all new DICA customers.
The cost of shipping physical samples, long customer decision cycles and brand reach drive the commercial side of the project. Internally, DICA wants to maintain knowledge continuity through administrative staff turnover and retain control of its AI environment.
For customers
The customer uploads a photo of an elevator, selects a decor and gets an AI-generated visual simulation. The corresponding product reference helps them prepare an order.
The customer starts with their own environment.
They select the decor to simulate.
The visual comes with the decor’s product reference for ordering.
KOREV develops the agents and the decor mapping algorithm. OpenAI and Google APIs generate the visuals.
Reported audiences include resellers, elevator professionals and van fit-out specialists. Property managers, cafes, hotels and restaurants follow longer decision cycles.
The visual simulates the decor; it does not guarantee physical appearance or technical compliance.
For internal teams
Evidence is available on operational workstations, powered by Atlas and adapted to the company’s documents and team knowledge.
The reasoning engine gives agents the business knowledge and documents relevant to the task.
The operational environment supports accounting, sales and administration, logistics, marketing and the management of a business subdivision.
At DICA, PRISM is used for critical financial decisions, contract management and executive briefs, within the control scope defined for those tasks.
KOREV reports substantially shorter decision times and better inventory management informed by visualizer statistics. No quantified before-and-after measurement is provided for these two effects.
The 280 ordering accounts are part of the 300 accounts created. These results describe that cohort; they do not measure conversion across all website visitors or incremental sales against a comparison group.
Deployment and sovereignty
OVHcloud · Gravelines · France
The cloud installation is hosted by OVHcloud in Gravelines, France. Visual generation uses external OpenAI and Google services; KOREV develops the business agents and mapping algorithm.
Sovereignty is defined by scope: data, models, access and flows. French hosting does not mean all visualizer processing stays in that data center. Image generation models have a separate role from Atlas’s business reasoning.
Review KOREV’s evidence and limitationsDeployment, use cases and results are based on information provided by KOREV’s founder on October 30, 2026. Business results are reported figures, not an independent audit.
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