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THE PLATFORM

An AI that knows their cost centre, their branch and their close.

Levir AI is not an assistant bolted onto the product: it reads the whole base, triggers each function's native AI and returns the finished document — the statement, the note, the slide, the spreadsheet.

Surfaces it triggers
12
Context
The whole operation
What it returns
The deliverable
The financial statement notes written by Doc AI beside the statement. Notes to the Statements

Companies already operating on LeverPro

  • Mater Dei logo
  • Contabilizei logo
  • Condor logo
  • Fujifilm logo
  • Tenda logo
  • Grupo SEB logo
  • Bem Brasil logo
  • Globo Ventures logo

5 business days

for the P&L to be ready at Distrivisa — before, it only closed on the 15th

Distrivisa

+100

ERPs integrated natively, the Brazilian ones included

12

native surfaces reading the same base

ISO 27001

information security management

WHAT HOLDS IT UP TODAY

Asking a generic AI costs you the context and the confidentiality

None of these is the team's lack of effort. They are limits of where the data lives.

  • A generic AI does not know who you are

    It answers well about finance in general. About your Recife branch, your cost centre 4.2 and your September close, nothing.

  • Copying data into a chat is a risk

    For the AI to answer, someone pastes the figure in. The data leaves the governed base and lands in a text box.

  • The answer is not the deliverable

    It comes as a paragraph, and turning it into a document, spreadsheet or slide is still manual work.

WHAT CHANGES

It reads the base, operates the tools and shows its working

  1. Context without copying

    It reads the base where it is. Nobody has to paste figures into a text box to get an answer about their own operation.

  2. Orchestration of the native AIs

    Each function has its own: Doc AI writes, Spread AI calculates in a spreadsheet, Slides AI builds the presentation, Financial AI & Planning works the statement. Levir decides which to call.

  3. The deliverable, not the summary

    The output is the finished document on the right surface — and it stays linked to the base, so it does not go stale.

  4. The path stays in plain sight

    The reasoning steps are shown, with the source each one read. An AI answer about a financial figure with no path is no use at all.

HOW IT WORKS

From request to document, with the path in plain sight

You write one sentence; it reads the base, does the work and hands back the finished deliverable.

  1. Reads the request

    One plain sentence — "build the Q3 and Q4 plan with actuals to date".

  2. Pinpoints the period

    Identifies what has closed, what is open and which budget version applies.

  3. Opens the base

    Ledger, budget and projection, with the management structure already applied.

  4. Cross-checks actual and budget

    Calculates the variance by line and by cost centre, in the engine and not by estimate.

  5. Projects what is left

    Applies the current assumptions to the open period.

  6. Picks the surface

    Triggers the native AI whose output the request needs.

  7. Delivers the document

    Finished, linked to the base, and with the trail of how it got there.

Thirty minutes on how your planning runs today.

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“LeverPro brought simplicity and speed to our day-to-day: faster budgets, automatic analysis and detail down to the journal entry, with no rework in Excel.”
Miguel Basílio · Finance Manager
Dengo Chocolates · Food & Retail

QUESTIONS

What people usually ask

If yours is not here, ask — we reply within one business day.

Is it Levir or Levi?
Levir AI. That is the official spelling, standardised by the team.
Does my data train the model?
The product is a private AI, working on your company's own base. The contractual details of data handling are part of the commercial agreement and go through your legal team — the Security page describes the mechanism.
Does it make figures up?
The design is the opposite: it reads the base and shows each step's path, with the source. It is the visible path that allows checking, and it exists precisely because an AI answer about a financial figure has to be verifiable.
Do I need to know how to write prompts?
The request is one plain sentence about the work you already do. What it needs to know about your operation, it reads from the base.
Can I use another AI on the same base?
Yes — that is what the MCP surface is for: the base is available to other AIs under the same permission control.

RECOGNITION

  • TOP 100 Open Startups, 2025 ranking
  • 1st place at the IBEF-SP Fintech Award 2024
  • NEEX Award, by Exame
  • 100 Open Startups, ranked 2021 to 2024

Four years running in the 100 Open Startups ranking.

HOW YOUR DATA IS KEPT

  • Who gets in

    Corporate authentication through the identity provider the company already uses.

  • Who sees what

    Permission by area and by slice, on the same base — with no copy of the file.

  • Where the figure came from

    A trail from the consolidated figure to the source accounting entry.

  • How the data comes out

    Export guaranteed. The data belongs to your company.

See the Security page

Let's look at your budget cycle

Thirty minutes with people who do this every day, about how your planning runs today.
You leave knowing what can be solved first — or with us telling you it doesn't make sense.

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No spam and no mailing list — we reply within one business day.

What happens in the conversation

  • You tell us how planning runs today
  • We point out what can be solved first
  • Where LeverPro fits into your ERP and your spreadsheets
  • Or we tell you it doesn't make sense, and that's that

How your data is kept

ISO 27001LGPDSSO / SAMLExportable data

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