Multisector
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Augusta Labs · 2025

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.

How it works
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Incentive ingestion: [PRR portal (open calls) | PT2030 (public notices)] → collect PDFs → parse & clean (budget · date sections) → LLM extraction (dates · budget · eligibility) → merge per notice (non-null wins) → LLM fallback (fills the gaps) → upsert (Postgres)
Company-first matching: search → [SQL filters | vector search] → company shortlist (filters first) → incentive search → eligibility match (query ∩ shortlist) → results

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

Stack: TypeScript, Bun, Hono, PostgreSQL, OpenAI, Pinecone

https://godnik.in/projects/multisector