For GTM and revenue teams, Landbase is an AI GTM platform built on its own GTM-2 Omni action model, letting teams describe a target audience in plain English to build prospect lists, then research, personalize, and launch omnichannel outbound campaigns.
Presence & Market Position
#33 of 64
AI-Native GTM Challengers
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Landbase is building toward a domain-specific "GTM action model," not a general-purpose AI wrapper on outbound work: describe a target account in plain English and the system builds the list, personalizes outreach, and launches the campaign across channels. Recent moves reinforce that thesis. A run of 2025 acquisitions folded prospect research, predictive automation, and inbound intent signal into the same stack, and outside recognition followed, including a Gartner Cool Vendor citation. Conversation about it runs dense with hands-on usage: agency and SDR teams cite dial and connect-rate stats from platform-run campaigns, prospecting-stack roundups list it alongside other outbound tools, and its CLI comes up as an execution surface operators reference directly. A rising presence, concentrated in practitioner workflow talk.
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Business Profile
Landbase launched in 2023 out of San Francisco, built around a proprietary "GTM action model" rather than a wrapper on a general-purpose LLM. It raised a $12.5M seed in September 2024 and a $30M Series A in June 2025, for $42.5M in total funding. Reported customer count grew from 10 paying customers in December 2024 to more than 150 by mid-2025, with 825% year-over-year revenue growth cited alongside that run, and ARR reported at $10.7M as of September 2025. The company has expanded largely through acquisition, folding research, automation, and inbound-signal startups into the platform through 2025, and runs at roughly 77 employees.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Landbase ships an API, a CLI, and a documented MCP server, plus an llms.txt file, layering programmatic access on top of the GTM-2 Omni action model. The CLI shows up in practitioner workflows chained with coding agents to segment and enrich prospect lists directly from the command line. The company frames its entire product as agent-native: describe an audience in plain English and the system executes, rather than a UI-first tool retrofitted with an API.
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