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All solutionsData, dashboards and AI for management

Your company's numbers on one screen

Simple dashboards showing sales, costs and real results, plus an AI that answers questions about your data in plain language.

  • No waiting for the monthly report
  • Every number with the detail behind it
  • Ask the AI like you'd ask a manager
I want this for my company
Simulate my company
Real results in the industry
R$ 257 million
saved in public tenders in 2024, with 118,000 processes reviewed

Federal agencies audited by Brazil's Comptroller General (CGU)

5 to 6%
higher productivity in companies that started deciding with data

179 large companies studied by MIT and Wharton

80%
of information found right away, previously 20%

Morgan Stanley financial advisors

See the cases and sources

Does this happen to you?

If at least one of these happens in your company, it can be fixed.

  • You only know if the month was good after it ends

  • Every report shows a different number

  • You don't know which products make the most profit

  • Building reports takes the team hours

Real results

Real problems, real gains

Problems that happen in your industry, how they were solved and how much companies gained. Every number has a source for you to check.

The problem

Overpriced purchases and flawed tenders that nobody catches in time.

How it was solved

An AI robot reads tenders and purchase documents and flags risks to auditors.

The gain

R$ 257 million

saved in public tenders in 2024, with 118,000 processes reviewed

Federal agencies audited by Brazil's Comptroller General (CGU)

Study · Controladoria-Geral da União, 2024

The problem

Key decisions made on gut feeling, without looking at the numbers.

How it was solved

Started collecting data and actually using it in business decisions.

The gain

5 to 6%

higher productivity in companies that started deciding with data

179 large companies studied by MIT and Wharton

Study · Brynjolfsson, Hitt e Kim, ICIS 2011

The problem

The answer is in some internal document, but nobody finds it in time.

How it was solved

An AI assistant that answers questions using the company's document base.

The gain

80%

of information found right away, previously 20%

Morgan Stanley financial advisors

Company data · OpenAI, caso Morgan Stanley

How it works

  1. 01

    We pick what matters

    The numbers that help you decide.

  2. 02

    We connect the sources

    Systems, spreadsheets and databases you already use.

  3. 03

    We build the dashboards

    Plus alerts when something goes off track.

  4. 04

    We switch on the AI

    So you can ask in plain language and get the number.

What changes day to day

  • Decisions on the spot

    Up-to-date numbers, without waiting for month-end.

  • Real profit

    Margin by product, customer and salesperson.

  • Alerts before problems

    A warning when something goes off track.

  • No more manual reports

    The team stops building spreadsheets and starts analyzing.

In practice
Before and after

Each product's margin in real time

Beverage distributor with 400 customers

Before

  • Closing the month took 5 days
  • Each team had a different sales number
  • The owner didn't know which products lost money

What we did

  • Single dashboard for sales, costs and margin
  • Automatic reconciliation between the system and finance
  • AI assistant for questions like "which customer bought less this month?"

After

5 days down to 1
to close the month
1 number
for sales across all teams
12
unprofitable products found

Typical scenario created to show how the solution works day to day. The numbers give a sense of scale, and each company's gain is measured together during the project.

What it can include

Dashboards to track sales, costs, results, service and operations, crossing sources and letting you drill into the records behind each result. Includes margin, pricing and demand analysis, simulators and AI-powered queries.

  • Dashboards and KPIs
  • Margin and pricing
  • Profitability and demand
  • Scenario simulators
  • AI-powered queries
  • Reports

Real projects

  • ✦ Mirror: discrepancy analysis across databases
  • ✦ SementAI: AI-powered sales queries and analysis

Frequently asked questions

  • No. Dashboards pull data from where it already is.

Shall we see how this looks in your company?

Tell me how your operation works today. In a quick conversation I'll show you where to start.

I want this for my company
Simulate my company

Other solutions

  • Law firmsDeadlines, clients and fees under control
  • HealthcareMore time with patients, less time typing
  • ManufacturingDeadlines met and the cost of every part in hand
  • AI agentsExpand sales capacity without losing opportunities
  • Custom systemsA tool that follows the way you work
  • LogisticsDeliver more and spend less on freight
  • Retail and POSFast checkout, accurate stock and invoices in order
  • AgroEvery hectare, machine and bag with its cost in sight
  • LivestockKnow how much profit each animal makes
  • CRMControl over customers, deals and your team
  • TicketingA sales operation with control over experience and results
  • IntegrationsInformation flows without copy and paste
  • AutomationYour team free from repetitive tasks

Guilherme Henrique

Law firm systems · Sales agents · Custom systems · Agribusiness solutions · Livestock · CRM · Ticketing · Data and AI · API integrations · Automation

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