Velho sells AI and automation to Finnish companies, and its best deals start with a warm introduction. The problem: the team's contacts sit in everyone's own LinkedIn, so nobody knows who knows whom, which companies just changed, or who was already contacted. Today the founders go through their networks by hand.
Velho Network does it for the whole team.
1. Bring in the networks. Each teammate connects their own LinkedIn through LinkedIn's official EU data portability API (or the CSV export). No scraping, no copying. Networks are merged by profile URL, so the app knows who knows whom.
2. Match every company to the Finnish trade register (PRH open data): industry, whether it has employees, and fresh changes such as a new managing director, new money or a merger.
3. Rank in code, not AI. Decision-makers at companies that fit Velho come first, boosted by people two of us know, fresh changes and reactions to our own LinkedIn posts. Every reason shows its source.
4. Act. Each week the app picks five people, says why, who should send the message, and drafts it in Velho's voice: short, Finnish, and never mentioning registers. A signal radar lists companies with fresh changes and who in the team can introduce us.
It also runs inside Velho's own Claude. The app is an MCP server, so the team adds it as a connector and asks in Finnish: "Who should we contact this week?" Claude picks the filters, the code does the ranking, Claude writes the message on the team's own subscription, and statuses sync back so nobody is contacted twice.
Tested on three real LinkedIn networks pulled through the official API: 1,413 people, 676 employers matched in PRH, 85 decision-makers who fit, and 4,758 companies with a fresh registered change, 42 of them where we already know someone.
Data stays on the team's machine. Only company names go to PRH. Nothing is scraped, and nothing is sent automatically: every message is sent by a teammate from their own account.
