Kaspr vs VAST Data
Side-by-side comparison of AI visibility scores, market position, and capabilities
B2B contact data platform for finding phone numbers and emails of prospects. Paris France, acquired by Cognism, provides LinkedIn-integrated prospecting data for European SDR teams.
About
Kaspr is a B2B contact data platform that helps sales development representatives find phone numbers and email addresses of business prospects, with tight LinkedIn integration that allows data extraction directly from LinkedIn profiles. Founded in 2018 and headquartered in Paris, France, Kaspr was acquired by Cognism to strengthen the combined entity's European contact data coverage and distribution through complementary product channels. Kaspr targets SDR teams seeking fast, LinkedIn-native access to prospect contact data.\n\nKaspr's Chrome extension integrates directly into LinkedIn, allowing SDRs to reveal contact details for prospect profiles with a single click without leaving the LinkedIn interface. The platform's contact data covers mobile phone numbers and professional email addresses for European and international business contacts. Contacts can be pushed to CRM systems and sales engagement platforms directly from the extension, reducing manual data entry in the prospecting workflow.\n\nFollowing its acquisition by Cognism, Kaspr operates as a complementary product in the Cognism portfolio — with Kaspr serving individual SDRs and smaller teams seeking affordable LinkedIn-native prospecting tools, while Cognism's enterprise platform serves larger revenue teams with bulk data exports, intent signals, and GDPR compliance infrastructure. The acquisition strengthened Cognism's coverage of French and broader European prospect data while adding a LinkedIn-integrated product channel to its portfolio.
Closed a $1 billion Series F at a $30 billion valuation in April 2026, backed by NVIDIA and Fidelity, after surpassing $500M in committed ARR with its AI Operating System platform.
About
VAST Data builds the AI Operating System — a unified platform combining all-flash storage (DataStore), an AI-native database (DataBase), and a globally distributed namespace (DataSpace) into a single infrastructure stack. The platform is purpose-built for organizations training, running, and managing AI models and agents at scale. In 2026, VAST launched AgentEngine, a production-grade deployment layer for multi-agent AI stacks with full auditability and MCP integration.
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