Work / AI products
Funding-matching platform.
Matches organizations to non-dilutive funding. RAG over heterogeneous documents, embedding-based matching, and predictive scoring with fairness calibration, all inside a bilingual client portal.
- Stack
- Next.js, Laravel, FastAPI, pgvector, GCP, AWS
- Scale
- 84,000+ users · $1B+ in opportunities · SOC 2 Type II
- Role
- Co-founder, CTO, architect
Flow
- Funding sources
- Scraping agent
- Semantic chunking
- Embeddings
- pgvector search
- LLM rerank
- Fairness-calibrated score
- Match in portal
How it works
Opportunities arrive from thousands of sources in inconsistent formats. An autonomous agent structures them into a common record, and a chunker splits each document semantically rather than by fixed length so eligibility rules stay intact.
Every chunk is embedded and stored in Postgres with pgvector. Organization profiles are embedded the same way, and the cross-lingual alignment means an English profile can match a French opportunity without translation in the loop.
Nearest-neighbour search produces candidates. A reasoning pass with an LLM scores each candidate against the organization's real constraints, and a temporal-aware predictive model estimates likelihood of success, calibrated so historically under-represented applicants are not penalized by skewed data.
The client portal is a bilingual Next.js app using TanStack Query for server state, talking to a Laravel core API and FastAPI microservices for the AI work. Background jobs for matching, scoring, email, and exports run through Laravel Horizon queues.
Hard parts
- Keeping generated content factual: a multi-model chain extracts constraints, classifies intent, and validates grounding before anything is shown.
- Operating to SOC 2 Type II while moving fast: encryption with AWS KMS, audited access, reproducible image-based deploys.
- Scaling matching from a nightly batch to something that felt live as the user base passed 84,000.
Outcome
Grew from zero to 84,000+ users with 3,000+ opportunities indexed and more than $1B available, $54M+ completed. Won 1st place at a national innovation summit and a Google for Startups partnership along the way.