For SMB sales teams, Lusha is a B2B contact and company data platform that provides accurate emails and phone numbers at a lower price than enterprise data providers, layered with buyer-intent signals.
Presence & Market Position
#46 of 115
Traditional SaaS Going Headless
▼ 33 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Lusha is positioning itself as a B2B data and intent layer for sales teams that need contact information, company context, and usable signals inside their prospecting workflow. Practitioner conversation keeps it in enrichment comparisons, phone-data evaluations, and multi-provider waterfalls, while also treating it as a familiar source inside broader GTM data stacks. Recent company activity emphasizes connected distribution through APIs, MCP, native plugins, and workflow tools. That extends Lusha’s role from a contact database toward data that can follow a team across CRM, enrichment, and agent-assisted research environments.
Backstory
Cognism
Meltwater
Zeta
TechTargetOracle NetSuite, Anaplan, WalkMe, Insight Global, VWO, insightsoftware, Explorium, Carto, Moss, Zesty
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Business Profile
Lusha was founded in 2016 by Assaf Eisenstein and Yoni Tserruya, building its early reputation on accurate contact data for B2B sales teams before expanding into buying-signal and account intelligence. The company has raised $245M and reported more than $30M in annual recurring revenue as of 2024, with roughly 360 employees serving a customer base that includes Oracle NetSuite, Anaplan, and WalkMe. It remains independent, and its own reported reach, more than 280,000 GTM teams on the platform, points to a company still building out its data and intelligence platform beyond the original contact-lookup product.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Lusha has built out a public API and an MCP surface, plus listed connectors for Claude, ChatGPT, Gemini, and Perplexity, so a GTM team can pull verified contacts and buying signals directly inside an AI assistant rather than through a separate lookup step. Recent moves include workflow demonstrations wiring the API into automation tools alongside Claude, and a new internal leadership role dedicated to AI and agents, pointing to continued build-out on the agent side of the product.
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