Multisector

Augusta Labs

Matching 400,000+ companies to public funding.

An AI platform that matches Portuguese companies to public funding incentives.

I built the incentive extraction pipelines — collect each notice’s PDFs, parse and clean them, have an LLM extract dates, budgets and eligibility, merge per notice and fall back to a second pass to fill gaps — and loaded and indexed the 400k+ company profiles, 168 fields each with 24 years of revenue. Matching is company-first: shortlist by filters, then match eligibility within the shortlist.

company profiles, loaded and indexed
400k+
fields per company profile
168
of revenue history per company
24 yrs

How it works

Incentive ingestion
    • PRR portalopen calls
    • PT2030public notices
  1. collect PDFs
  2. parse & cleanbudget · date sections
  3. LLM extractiondates · budget · eligibility
  4. merge per noticenon-null wins
  5. LLM fallbackfills the gaps
  6. upsertPostgres
Company-first matching
  1. search
    • SQL filters
    • vector search
  2. company shortlistfilters first
  3. incentive search
  4. eligibility matchquery ∩ shortlist
  5. results