AI NewsGo-to-marketAnnouncement
Sintropix launched an AI-native ERP that closes books across four countries
Sintropix launched today on Y Combinator with an AI-native ERP for companies with operations in more than one country.

Why it mattersA company with subsidiaries in four countries today runs four accounting tools. Sintropix is one answer: one system, one source of numbers, one monthly tax run.
A company with offices in the US and Mexico today uses one accountant and one tool in each country. The finance team then builds the consolidated view by hand in a spreadsheet. Sintropix launched today on Y Combinator with an AI-native ERP that aims to replace that work with one system.
The company was founded by Alfonso Márquez de la Plata and his brother Borja. Sintropix is live in the US, Mexico, Brazil and Chile, with more countries planned. The YC launch page had 14 upvotes at the time of writing. No funding figure or price is given on the page.
The problem the founders name
Sintropix's own pitch names the pattern a cross-border finance team knows well. Books in one country. Taxes in a second. Payments in a third. A consolidated report that is out of date on the day the controller finishes it. The founders say every country should read from one source of financial numbers. That is their fix.
The product the launch page describes carries this out in four pieces. It records the transactions directly. It closes the books each month without the controller rebuilding them. It runs the tax filings on a schedule. It forecasts the cash the company has left to spend. Every country's output is in the same currency and the same chart of accounts.
What is in scope
The founders say Sintropix handles the monthly close and files the taxes. That is the slow, expensive part of a multi-country company's finance work today. A single-country startup needs one accountant for it. A company with four subsidiaries often has four. Sintropix is pitching one system in place of that.
No customer is named on the launch page, so the claim is the product's promise rather than a measured outcome. Finance is also the category where a wrong answer costs a fine, not a design review. Any team weighing the pitch should ask for a worked example on its own books before signing.
Where the AI sits
The launch page calls the product AI-native, and the specific AI tasks are the ones that decide the monthly close. Matching transactions to accounts. Flagging a cash run that does not match what the forecast said. Generating the memo lines for a tax filing from the raw data. These are the hand-done jobs that eat the week before the close.
A buyer can test the claim on one month of their own data. Match the result against what the current accountant produced. Count the hours saved and the errors each system left. That test says more than the pitch.
Source
Sintropix: The AI-native ERP that closes your books and files your taxes, Y Combinator, by Alfonso Márquez de la Plata and Borja Márquez de la Plata.
This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.
Get AI News in your inbox
New developer tools, model and agent releases, and how teams are actually using them to release software. Short, and only when there is something worth reading.


