For enterprise revenue leaders, HockeyStack is an analytics-and-agents platform that pairs an event-based marketing-and-sales data model with Revenue Agents — AI built on 'Blueprints' that encode a company's own winning sales patterns and execute across deals autonomously, escalating to reps only when needed.
Presence & Market Position
#35 of 79
AI-Native GTM Challengers
▼ 50 60-day move
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HockeyStack has repositioned from marketing analytics into what it calls Revenue Agents for the Enterprise: agents built on 'Blueprints' that encode a company's own winning sales patterns and work deals autonomously, escalating to reps only when needed, running on an event-based data model built to replace the standard CRM object-and-field structure. Conversation about the company runs mostly through comparison and category commentary: analysts and practitioners group it with other agent-native revenue-agent and autonomous-CRM startups raising large rounds, and list it inside GTM-intelligence and tool-stack roundups alongside adjacent data and orchestration platforms. That conversation has thinned from an earlier peak, though HockeyStack still recurs as a named example whenever the agent-native GTM wave comes up.
Sumble
Common Room
Upside
Nektar.ai
OrumMastercard, Rakuten, RingCentral, AppsFlyer, ActiveCampaign, Mimecast, DataRobot, Yext, Justworks, 8x8
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Business Profile
HockeyStack, founded in 2021 out of San Francisco and London by Buğra Gündüz and Emir Atli, started as a B2B marketing analytics company and has spent the past two years rebuilding around AI-driven revenue tools. It has raised over $50M in company-reported cumulative funding, led by Bessemer Venture Partners, and reported roughly $5M in ARR in early 2024 with a headcount near 100. The company describes itself today as building Revenue Agents for the enterprise, layering agent products on top of its original event-based analytics platform, with enterprise customers including Microsoft, New Relic, and Harvey named in its own materials.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
HockeyStack's agent build-out centers on its own Revenue Agents product: deal-working agents built on 'Blueprints' that now run in production on Anthropic's Opus 4.7, after starting on earlier GPT models. External developer access is newer and thinner: the only published MCP server exposing the Revenue Agents API (agents, conversations, tasks, credits) was released under the CEO's personal GitHub handle, with no separate SDK or CLI shipped yet. Claude Desktop, Cursor, and Claude Code configuration examples are included.
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