Brazilian technology product company

PrumoraSoftware for work that is still done the hard way.

We build focused products for specific routines: closing tax operations with evidence and turning company data into better sales conversations. No magic. Just controls and people accountable for decisions.

Why Prumora exists

The problems came before the products.

Prumora grew from work we had seen up close: tax sources that do not agree and sales teams that still have to research before selling. Each product addresses one of those jobs with its own scope and responsibilities.

What remains human

No crystal ball. No autopilot.

Automation can perform a great deal of work. It should not hide uncertainty, erase accountability, or pretend a difficult decision has become simple.

Decisions have owners

When professional judgment, money, or risk is involved, we state who decides and what information supports that decision.

Automation leaves a trail

A system should show what it did, which data it used, and where a person should review the result.

Unvarnished status

Beta and early access mean exactly that. We do not call a hypothesis a result.

A note from the founder

Good technology rarely starts with the tool.

After more than twenty years working across software, cloud, automation, and security, I have learned that the best products begin when someone reveals a routine that consumes too much time, depends on fragile steps, or produces decisions with too little evidence. Prumora exists to build its own answers to those problems.

Vanessa AndradeFounder · Product and engineering
About Prumora

Written by the people building

Notes from the workbench.

Product decisions, boundaries, and learning explained without turning every update into an announcement.

Product note · Aprum

Closing the month is not checking a single screen.

Why Aprum places invoices, PGDAS-D, DAS, and bank activity in the same reporting period — and turns discrepancies into a review queue.

Read note

Product note · DataFluxo

When the call ends, the data starts improving.

How real prospecting outcomes help DataFluxo distinguish a contact that was found from one that still deserves confidence.

Read note
View all notes

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