Landbase is an agentic go-to-market platform that puts a large body of GTM data directly inside the AI tools teams already use. Revenue teams describe their ideal accounts in natural language, and Landbase’s AI agents target, qualify, prioritize, and enrich matching companies in minutes, then keep monitoring them around the clock.
Landbase works as a five-step, always-on workflow. First it targets: combining user inputs with Landbase data and web data to find matching accounts, including lookalikes of existing customers and hidden opportunities. AI agents then qualify each account against custom fit questions and live signals such as funding, hiring, and technology changes. Accounts are scored and tiered by fit and likelihood to convert, enriched with contact data and firmographics from a base of more than 3 billion contact records, and continuously monitored so audiences evolve as signals change. The platform is designed for the agentic era: it installs into AI assistants such as Claude Code and Codex through its CLI, and markets real-time data freshness, native revenue and tech-stack data, and department-level headcount as advantages over legacy data providers. The company claims results including 5x TAM expansion, a 50 percent fit accuracy lift, and 3.5x conversion lift.
Landbase follows a freemium model, letting revenue teams get started before moving to paid plans that scale with data volume, seats, and monitoring scope. Larger deployments are handled with custom packages and demos.
Landbase is for RevOps leaders, founders, and sales teams that lose hours to manual account research and list building, and want AI agents to maintain a continuously updated, prioritized audience they can act on immediately.