
UserGemsA representative verified their company email and completed GTM Report’s profile fact-check. Not a ranking, endorsement, or paid placement.
For RevOps and demand-gen teams, UserGems is an AI command center for outbound and ABM that unifies buyer signals and first-party data into person-level intelligence, then scores and activates in-market buyers through AI agents in Claude and ChatGPT.
Presence & Market Position
#36 of 142
Traditional SaaS Going Headless
▼ 17 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
UserGems is working to occupy the position of an AI command center for outbound and ABM: one system, not a point tool, that consolidates buying signals and transparent contact-level scoring, with an agent, Gem-E, that drafts and sends outreach, now reachable headlessly inside Claude or ChatGPT through its own MCP server. The company argues that stance directly against account-level, black-box intent platforms. Practitioner conversation places UserGems as a fixture in histories of the signal and intent-data category, in workflow breakdowns chaining it with hiring-signal and closed-lost-revival plays, and in category debates over how signal-based ABM tools differentiate as the space consolidates.
Hubspot, Crowdstrike, Mimecast, UserTesting, Docebo, Workday, Sendoso, LeanData, CaptivateIQ
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Business Profile
UserGems started in 2019 in San Francisco, founded by CEO Christian Kletzl and Stephan Kletzl, on a single signal: tracking champions who change jobs. It raised a $20M Series A in October 2021 led by Craft Ventures with Battery Ventures and Tiger Global joining, bringing total funding to $22.4M, and has stayed independent since. The company reported $7.2M in revenue for 2024 and has grown to roughly 70 employees. It spent 2024 and 2025 broadening from job-change alerts into a multi-signal platform, adding the Gem-E outbound agent in January 2025, and repositioned in February 2026 as an "AI Command Center for outbound and ABM."
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
UserGems built its agent layer around Gem-E, an AI outbound agent that scores contacts against hundreds of signals and drafts or sends sequences on a rep's behalf. It has since opened that layer outward: a public API, and a Model Context Protocol server that lets users build and adjust outbound and ABM campaigns directly inside Claude or ChatGPT without touching the UserGems interface. The build-out has moved from an in-product agent toward a headless, assistant-native surface.
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