Processes never mapped
They live in people's heads. Nobody knows how many hours they really cost.
DBRAINS gathers your company's knowledge into a single company brain: it calculates in concrete numbers how much automating each process is worth, and brings that intelligence into the tools your team already uses.
// source: Eurostat, 2025
They live in people's heads. Nobody knows how many hours they really cost.
The CFO wants a number. Without a payback, the project never starts.
Where does the data go? GDPR, AI Act: questions often left unanswered.
Workshops, roadmaps, slides. What's missing is going to production.
Spread across email, chat and files. Every project starts from scratch.
At the centre sits the CORE, the brain that organises knowledge into the BRAINS, one per department. Everything else works around it: FLOW maps processes and measures their return, WAVE and SYNAPSES bring knowledge into the tools you use every day, and the AI ENGINE picks the most suitable model. The EYE copilot guides you through each one. Every block has its own page: open it to learn more.
A single path in four phases: we capture how you work and train the teams, measure the return of each automation, bring intelligence into production, and stay by your side as it grows.
We capture processes, data and skills. We train the teams on AI and on using DBRAINS, so adoption starts right away.
We map processes, measure ROI and build the operational plan. We start where the return is highest.
We go to production: connectors on the tools you already use, agents and vertical apps. From analysis to real execution.
The platform stays alive: evolutionary support, new processes and pay-as-you-go AI credits. The company brain grows over time.
Three model options, one question we answer up front: where does your data go. From the best models on the market to a model entirely your own, hosted on your own infrastructure.
The best models on the market, selected for each task. No infrastructure to manage, top quality from day one.
DefaultSelf-hosted open source models on dedicated infrastructure, without fine-tuning. For those who want a private environment from the base model on.
Self-hostedVertical fine-tuning on the company's historical data. A model calibrated to your context, running on dedicated infrastructure.
OptionalProcess data never leaves the Union. GDPR, NIS2 and the AI Act are part of the architecture, not a layer added afterwards.
Self-hosted knowledge graph in Europe.
Every AI operation tracked and versioned.
Every action requires confirmation.
Data segregated per organisation.
Tell us about a high-volume manual process. We'll show you, with numbers on your specific case, how much automating it is worth and how to get there.