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LicitarIA · AI-powered tender radar

AI-powered SaaS for detecting Peruvian government tenders

A dashboard that monitors Peruvian government procurement notices, reads the bidding documents with artificial intelligence, and gives each company a verdict—qualifies or not—with the citation that backs it up.

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Status
In development
Type
Own product · SaaS
Platform
Web
Year
2026
Screenshot of LicitarIA
LicitarIA on a phone
The project in 30 seconds

What it solves and for whom

01

Problem

Public notices are written in bureaucratic language: anyone who doesn't search with the exact word misses the opportunity, and reviewing the bidding documents by hand takes hours.

02

Solution

LicitarIA matches each notice against the company's profile, gives a verdict with the citation from the bidding documents, organizes applications in a funnel, and checks the application file before it is submitted.

03

Who it's for

Peruvian small and midsize businesses and contractors who want to sell to the government without losing hours reviewing notices.

What it does

From notice to application file

01

Opportunity radar

Each notice arrives with a verdict based on your profile and the citation from the bidding documents. You search the way you talk, not with the bureaucratic term.

Opportunity radar
02

Application funnel

What stage each opportunity is in, who owns it, and how much money is at stake, with a history of every change.

Application funnel
03

Expected competition

Which companies compete in your industry and how many bidders usually show up, to decide where it is worth applying.

Expected competition
04

Application file checker

You save your company's data once and check your application file against the bidding documents before submitting it.

In numbers

What was built

Scope built
7,081 notices analyzed

The problem was measured against the full official archive from July 2026 before building.

Measured in tests
0 accessibility failures detected

Automated review across 11 pages and 8 dashboard views, in light and dark themes.

Measured in tests
68 automated tests passing

Integration tests against the real database, leaving no residue.

How it's made

Technology behind it

Technology
PythonFastAPIPostgreSQLpgvectorClaude (Anthropic)
Technical detail

FastAPI backend with about 30 services for the dashboard and the funnel, on PostgreSQL with semantic search. Notices come from public government procurement data. Document reading uses Claude, from Anthropic, and if the AI does not respond it falls back to a rule-based extractor.

Gallery

More screens of the product

Opportunities on mobile
Funnel on mobile
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