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We build financial decision infrastructurefor people who decide without an analyst desk behind them.

Cross-referenced, dated data, calculation that can be redone by hand, opportunity cost always in the account. No recommendation.

How it works

The problem

There is a layer that separates deciding well from deciding in the dark.

Cross-referenced, dated data, alternatives compared on the same scale, explicit priority, opportunity cost calculated.

In practice the obstacle is always the same: the information exists, but it arrives in documents of inconsistent format, without a reliable date and without a common scale. Someone has to read, structure, check and compare; and outside the institutions, that someone does not exist.

inside

Inside large institutions this layer has existed for decades.

outside

Outside them, for individuals, independent investors, developers, chains and operations of any size, almost never.

Method

Four engineering rules that hold for everything we build.

01

The number never comes from a language model

Every score, projection and ordering comes from a deterministic rule, written and versioned. The same input produces the same output, always, and any calculation can be redone by hand.

We use language models to read documents, explain results and review the deterministic decision; never to calculate. When the model diverges from the rule, the divergence is recorded and audited.

02

Every data point carries source, date and confidence level

No number appears alone. Each one comes with its origin, its collection date and the confidence of that information in that particular cut.

Low confidence modulates the presentation, not the result. Weak data becomes a result with a warning, never a bad result; otherwise the tool would punish precisely those with the least public data coverage.

03

Uncertainty is marked, not hidden

When a source is out of date, secondary or diverges from another, that appears marked in the material, next to the number. We do not estimate a value without documentary basis.

The same discipline applies to the market studies we produce internally before deciding to build anything. A document that does not distinguish what is known from what is assumed is no use for deciding.

04

Opportunity cost is mandatory

Return without comparison means nothing. Every projection is presented against the relevant alternative, with real costs built in, and always as a range; never as a single number.

None of this is a marketing differentiator. It is the minimum an analyst desk would do, and it is exactly what does not exist outside the institutions.

Demonstration

What the engine delivers.

Illustrative exampleDeclared intention

Long-term rental

78/100

Data confidence: highWhat weighed most
  • Demand+18
  • Economic fabric+11
  • Infrastructure−6
Illustrative exampleDeclared intention

Residential subdivision

41/100

Data confidence: mediumWhat weighed most
  • Legal risk−21
  • Infrastructure−9
  • Trend+7

The same region receives opposite scores depending on the declared intention.

Accumulated return against opportunity costIllustrative example
Accumulated returnFixed income, same period
Accumulated return against opportunity costTwo series over fifteen years: accumulated return as a range and the fixed-income alternative over the same period, with the optimal exit year marked.0%50%100%optimal exit year1510151 years: Accumulated return 2%, Fixed income, same period 5%2 years: Accumulated return 7%, Fixed income, same period 10%3 years: Accumulated return 14%, Fixed income, same period 16%4 years: Accumulated return 23%, Fixed income, same period 22%5 years: Accumulated return 33%, Fixed income, same period 28%6 years: Accumulated return 44%, Fixed income, same period 35%7 years: Accumulated return 56%, Fixed income, same period 42%8 years: Accumulated return 68%, Fixed income, same period 49%9 years: Accumulated return 79%, Fixed income, same period 57%10 years: Accumulated return 88%, Fixed income, same period 64%11 years: Accumulated return 94%, Fixed income, same period 72%12 years: Accumulated return 98%, Fixed income, same period 80%13 years: Accumulated return 101%, Fixed income, same period 88%14 years: Accumulated return 103%, Fixed income, same period 96%15 years: Accumulated return 104%, Fixed income, same period 104%

Hover the chart to see the values for each year.

Every return is presented against opportunity cost.

Payment queueIllustrative example
DebtBalanceMonthly interestReason for the position
Rent in arrears4.200—housing
Car loan18.4001,9%repossession
Credit card6.90012,4%highest interest
Personal loan11.3003,1%smallest remaining balance

Risk comes before mathematics. The highest-interest debt is not first in the queue.

Both sides of the balance sheet

We work on both sides of the balance sheet.

asset

Capital allocation

Intelligence for capital allocation: investment decisions that depend on territory, intended use and horizon.

What enters the calculation
  • Territory
  • Intended use
  • Horizon
liability

Financial health and liability management

Organising, prioritising and executing the way out of debt.

How the plan runs
  • Organise
  • Prioritise
  • Execute

These are the two markets in operation. The criterion that brought us here is the one we apply to the next ones.

Markets under review

The criterion before the decision.

Before building anything, we produce an opportunity map of the sector: market structure, regulatory obligations with dates, pains verified at primary source, competition mapped, product concepts compared, and a validation plan with objective go or stop criteria.

Every number in those documents carries source and date. What is uncertain is marked as uncertain. Three sectors are at this stage.

Electricity sector

Construction

Agribusiness

The three studies pointed, independently, to the same starting point. It is still early to detail what comes from it; we prefer to talk once it stands.

That is why the choice of the next market is not a bet. It is the same competence applied where the pain is greatest.

Principles

Three rules that are not negotiable.

01

Deterministic, auditable calculation.

No number comes from a language model. Every calculation can be redone by hand, and every data point carries source, date and confidence level.

02

We explain, we do not recommend.

No screen says buy, sell or sign. The decision always belongs to whoever decides; our job is to make it legible.

03

Revenue from subscription, never from transaction.

We do not sell credit, we do not sell advertising, we take no commission. There is no incentive to push anything.

The third principle sustains the other two. A product that earns on the transaction always ends up optimising for the transaction.

Limits

What we are not.

We are not an investment advisory.

We issue no buy or sell recommendation, and no valuation report.

We are not a financial institution.

We do not originate credit, we do not intermediate transactions, we are not a banking correspondent.

We are not a listings portal.

We show whether a place holds up, not what is for sale in it.

We are not an account aggregator.

We do not ask for bank credentials and we do not access anyone’s account.

We do not replace the licensed professional.

Where the law requires a qualified professional, our product supports that professional; it never takes their place.

We do not sell user data.

Never, to anyone, under any circumstance.

Engineering

The engine lives isolated from the interface.

The calculation engine lives isolated from the interface, with no framework dependency and its own types and schemas. It is code that can be tested on its own, ported between platforms and verified line by line.

Determinism first.

Business rules in a shared, framework-free package, with test coverage over boundary cases. The interface consumes the engine; it never reimplements the rule.

Auditable extraction.

Every field read from a document carries a confidence indicator and a trail back to the original passage. A doubtful field goes to human review. A document marked valid by mistake is a liability, not a bug.

AI as a language layer, not a calculation layer.

Failover across multiple providers with circuit breaker and deterministic fallback. If they all go down, the product keeps working; it only loses the narrative.

Offline where the field demands it.

Part of the markets we study operate without stable signal. Where that holds, synchronisation with conflict resolution is an architecture requirement, not a feature.

Quota and limits decided on the server.

Nothing that depends on trusting the client.

Products

In operation today.

  • ZiageoLocation intelligence for capital decisions that depend on a place.
  • PlanoQuitaDiagnosis, prioritised plan and week-by-week tracking of the way out of debt.
Markets

Individuals · independent investors · developers · chains · operations of any size

We build for Brazil, on the regulatory and cost reality here.

Investors and partners

To talk about the thesis.

The investors page explains the thesis, the method and the real state of the product. The numbers go in the material, after contact.

Read the thesis