Product · working today

Radar — never miss a new regulation.

Every day, governments across Latin America publish new rules in official bulletins — long documents, legal language, no warning. Companies pay teams to read them all. Radar reads them automatically and tells you only what matters to you.

69real notices read and sorted from Mexico's official gazette in one day
10 / 10score on its accuracy exam, re-checked on every update
14uncertain cases handed to a human instead of guessed

The problem, in plain terms

A new rule can name deadlines, fines, and paperwork — without ever naming your industry. Keyword alerts miss it; reading everything by hand is slow and expensive. Missing it entirely can cost a license. What's needed is a reader that understands who is affected and what they must do.

How Radar works

1 · Readofficial bulletins, every day
→
2 · Sortwhich industry, what obligation, how urgent
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3 · Alerta short morning briefing per team
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Not sure?a person reviews it — no silent guesses

Each alert says who must do what, by when, with a link to the exact official page. When Radar's confidence is low, the item goes to a human review queue — it never slips into a client briefing unchecked.

Proof it works

Connected live to Mexico's official gazette, Radar read one day's edition — 69 notices — sorted them by industry and urgency, and correctly flagged a banking regulation change for human review. Its accuracy is re-examined automatically on every software update; the current score is 10 out of 10 on a labeled test set in Spanish and Portuguese.

For technical readers
  • Pipeline: fetch → classify (industry, obligation type, impact, confidence) → store (idempotent) → digest per watch profile.
  • Two classifiers: a transparent lexicon baseline for CI and an LLM classifier for production — both graded by the same Checkpoint eval suite.
  • Live source: Mexico's DOF via its public API. Brazil and Colombia sit behind the same interface, not yet wired.
  • Known limitation, documented: the baseline over-tags fiscal notices as financial because the issuer's name contains "Crédito" — exactly the gap the LLM path closes.

What it can't do yet