AI has reached your company. It has yet to reach your operation.
A company brain wired to your systems, with agents that work inside them.
Illustrative demo: the agent answers by reading the company brain. Why did the stores run out of milk yesterday? Milk never ran out in stock. At the Downtown, North and Beach stores it sat in the back room, not on the shelf. The DC delivery was received at 2 pm and restocking slipped to the next day. Next step: a restocking alert to the store manager as soon as the delivery is received.
Reads the systems you already have
- SAP
- TOTVS
- Oracle
- Senior
- Linx
- Salesforce
- HubSpot
- Pipedrive
- Amazon S3
- Parquet
- SQL
- Excel
- API
- MCP
Everything your company does not have to build.
One definition of every entity in your company, with a source, an owner and a date.
The same question, with and without your company’s context.
Which orders will be late this week, and why? Without Lumeis: Some orders may be delayed due to logistics issues. Suppliers sometimes vary their delivery times. It is worth keeping a close eye on the most critical orders. Overall the outlook seems stable, but I recommend monitoring. With Lumeis: Four orders will likely be late. All of them depend on Supplier A, which delivered late in each of the last three weeks. Two belong to customers with a late-delivery penalty in their contract. Next step: move the purchase forward with Supplier B, which has the item in stock.
Different industries, same method.
See all- Grocery retailLost sales are rarely a stock problem.
- Brands on marketplacesUnavailable on the marketplace rarely means out of product.
- Consumer goodsThe total is usually right. The error is in which SKU and which region.
- Financial servicesThe portfolio changes every day. Monitoring has to keep up.
- EducationEnrollment, tuition and dropout tell the same story in different systems.
First process in production in four weeks.
See the methodExecutive decision
Leadership picks which problem comes first and how the result will be measured.
Side-by-side deployment
One of our engineers sits with the people doing the work and follows a real work cycle, to see how decisions are made today.
Hand-over
Your team learns to build on the brain. Ours moves on to the next use case.
Expansion
Once live in one area, AI spreads across the company on the same foundation.
When the brain connects the real data, the picture changes.
At a Rio de Janeiro supermarket chain, 88.7% of lost sales happened with stock in the store. The problem was on the shelf, not in purchasing.
At a personal care brand, 98% of the days a product showed as unavailable on Amazon had sellable stock.
At a food manufacturer, a simple eight-week moving average missed by 36.4% against 47.1% for the regional forecast, and won in 23 of 24 weeks.
We do not replace your systems. We work inside them.
Your team leaves knowing how to build on the brain.
See educationFounders who have scaled technology inside large companies.
Gabriel Monteiro · Rafael Amorim
Meet the teamTalk about a process in your company.
Tell us which process hurts. We reply within two business days.
Talk about a process