Family office
AI consulting and implementation for companies
Less AI hype.
More results.
Strategy, a team inside your operation and Omnis, our platform, where every answer has a source and a receipt.
Companies and institutions that trust Data Group
- iFood
Platform, deployment teams and strategy, together, so AI makes it into your operation and proves every number.
How it works
From diagnostic to operation.
One team, three steps.
We choose with you where AI starts, put the case into production inside your operation and run it all on Omnis, our own platform.
Talk to an AI expert01Diagnostic
We map the processes, pick the three use cases with the clearest return and deliver the deployment roadmap. Fixed price.
02Deployment
A strategist and an engineer inside your operation put the first case into production, with the success metric set before we start.
03Operation on Omnis
AI works day to day with your company's vocabulary and rules, human approval before it acts and a receipt for every access, on the web, WhatsApp and Teams. Once the case is running, it is handed over to your team and we move on to the next one in the roadmap.
Market figures, 2026
What AI already delivers in companies.
76%
of executives say AI already delivers significant value
KPMG, 202644%
of companies are already scaling AI across the operation
McKinsey, 202680%
of professionals say AI has increased their own productivity
McKinsey, 202650%
increase in output per person in marketing teams using AI
Stanford AI Index, 202666%
of finance teams using AI name efficiency as the main gain
Gartner, 202660%
of companies will increase AI investment next year
McKinsey, 2026Where Omnis is going in right now.
Family office
Construction companyOmnis in every department, and the construction site followed by AI.
Learn more →
RetailCollection pricing by AI, with the company's own rules.
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Auto parts networkAn agent on the network's own data, with accuracy measured against answers without it.
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Paint manufacturerAgents that automate the factory process, from order to production.
Learn more →Sectors where AI moves the company forward.
The right number is the starting point. From there, AI goes to work on the business itself: reports, forecasts, priorities and answers, each with its source and receipt.
Asset managers and finance
AI that writes the performance report, runs portfolio scenarios and answers investors with the math beside the number.
What AI can do here: monthly report generated by Omnis, return attribution by asset, mandate alerts, answers for the committee and compliance.
Controllership in mid-sized companies
AI that closes the month faster, flags discrepancies before the meeting and projects cash and margin.
What AI can do here: automatic reconciliation, margin by product and customer, cash forecast, an explanation for every variance for the board, the council and the banks.
Industry and manufacturing
AI that follows production, anticipates material shortages and explains every cost variance.
What AI can do here: production orders followed from order to shipping, minimum stock alerts, cost per batch, quality per line and answers to planning and the board with the source beside them.
Company
The team that puts AI to work.
Data Omnis is the artificial intelligence arm of Data Group, an IT services company. The group's analysis, development, quality, security and operations teams are the same ones that deploy AI inside your company.
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Resources
See everything on the blog →
Book · free PDF
AI from pilot to operation
Why AI stalls at the demo and what the companies that put it to work do differently. With a 20-question checklist.
Download the book ↗Context
layer
layer
Guide
What is a context layer for AI
Why AI gets your company's numbers wrong, and how your business vocabulary and rules fix it.
Read the guide ↗
Podcast · Episode 1
AI trends in 2026 and what they change in deployment
Agents, usage cost, AI on WhatsApp and shadow AI, and what to do in practice to take AI from pilot to operation. In Portuguese.
Listen to the episode ↗Change how your company runs with AI.
Start with the diagnostic: you leave with the three use cases, the expected return of each and the deployment roadmap.