# Project export: Velari

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## Project metadata

- Hackathon: TreeHacks 2026
- Tagline: We're killing PitchBook with AI natural language company search that's 10x cheaper and actually understands what investors want.
- Devpost: https://devpost.com/software/velari
- GitHub: not linked
- Team: contributor stats unavailable

## Devpost submission (written by the team)

### Overview

We run Velari an AI agent platform that helps PE firms find acquisition targets. Our clients love it (29% more qualified leads than PitchBook), but we have a $40K/year problem: we depend on expensive, incomplete third-party databases. During a client call, someone asked: "Why can't your AI just find the initial list of companies that match my criterias itself?" What We Built An AI-native company database built entirely from scratch in 48 hours. Pipeline: Scraped 200 French HVAC companies from registries (raw data: names, addresses, employee counts) Enriched with AI (Parallel.ai + LLM providers): Ownership structure (founder-owned? family-owned?) Shareholder ages (key for succession opportunities) Business models & revenue estimates ~5 minutes enrichment time Ownership structure (founder-owned? family-owned?) Shareholder ages (key for succession opportunities) Business models & revenue estimates ~5 minutes enrichment time Built hybrid search combining structured filters + semantic embeddings Natural language queries: "Find family-owned HVAC companies with retiring founders in Paris" → ranked results with match scores and explanations Query example: "Family-owned HVAC companies in Paris with founders over 60 and revenue >€2M" Returns ranked matches in a few seconds with explanations of which criteria matched, without any expensive web searches, post database construction. What's Next Scale this to 10M companies by getting funding (building a database is expensive) (France → Europe → global) and integrate with our existing Velari platform to eventually replace all of the private market data providers. The vision: AI-native private market intelligence, continuously updated & sourced.

## README (from the GitHub repository)

No README available.

## Detected evidence (automated analysis)

No repository was indexed for this project. Claimed technologies below could not be checked against code.
- Google Gemini (technology) — claimed on Devpost, not found in the code
- Next.js (technology) — claimed on Devpost, not found in the code
- OpenAI (technology) — claimed on Devpost, not found in the code
- Vercel (technology) — claimed on Devpost, not found in the code

## Codebase structure

No repository index available.

## Key source files

No repository index available; no source files included.