Pearch.ai

Pearch.ai runs natural-language people search across 810 million-plus profiles from 30 million-plus companies worldwide. The AI-native semantic search interprets "senior backend engineer with Kubernetes experience in Austin" the way recruiters write it, rather than requiring boolean-filter construction. ATS and recruiting CRM vendors embed the Pearch API to power their own sourcing features without building search infrastructure. MCP integration lets AI agents call the search programmatically from Claude and other model environments. Teams use it to replace brittle keyword sourcing with reasoning-based candidate discovery at API speed.

• Drop conversational job description, receive ranked candidate shortlist
• Embed semantic search into CRM for client meetings
• Pull real-time contact data for large candidate pools

• ATS or CRM vendors whose customers complain about Boolean search and want to white-label semantic sourcing without hiring data engineers
• RPO or agency platforms running high volumes of concurrent searches where recruiters need bulk results in seconds instead of manual profile lookups
• Staffing-tech founders building verticalized tools who need instant access to a global profile dataset without scraping infrastructure
• In-house TA teams at growth-stage companies replacing expensive licensed platforms with API-driven sourcing inside their existing workflow tools

Pearch.ai holds 4.2/5 across 320 G2 reviews.

Source: G2 (320 reviews) · Updated April 30, 2026