Vetric builds data pipelines for web intelligence and threat investigation, serving teams that need structured public data at scale. The stack is polyglot (Node.js, Go, Python) with heavy AWS infrastructure (Lambda, ECS, RDS, DynamoDB), coupled to reverse-engineering tools (Frida, Ghidra, IDA Pro, Radare2) — revealing a company extracting and transforming unstructured web sources into clean datasets. Hiring is split evenly between engineering and sales (7 each) with notable leadership gaps filled recently (Director of Sales), and active expansion into Poland and the US signals go-to-market acceleration beyond Israel.
Notable leadership hires: Director of Sales
Vetric operates a managed data-collection platform targeting organizations that ingest public web sources for intelligence, security, or research workflows. The product sits between raw web scraping and polished data warehousing: customers submit collection specs via API, Vetric handles extraction, normalization, and delivery with 99.9% uptime. Current focus spans three vectors: stabilizing high-scale event-driven backends, entering new verticals beyond initial osint/threat-intel use cases, and establishing sales infrastructure across Israel, Poland, and the US. The company is pre-scale-revenue (cited as early-stage) and balancing technical debt against market expansion.
Node.js, TypeScript, Go, Python for application logic; AWS (Lambda, ECS, RDS, DynamoDB) for compute and data; PostgreSQL and MongoDB for persistence; Temporal for orchestration; Playwright and Vitest/Jest for testing.
Scaling event-driven backend systems, launching US go-to-market operations, building a Kraków engineering hub, expanding into new customer verticals, and automating sales processes via outbound and referral channels.
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