For B2B revenue teams, Ocean.io is a contextual-intelligence platform that learns from closed-won deals, finds the segments that convert, ranks lookalike accounts, and delivers research and timing signals into CRMs, agent workflows, and APIs.
Presence & Market Position
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▼ 33 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Ocean.io is positioning itself as a contextual-intelligence layer for go-to-market teams, using closed-won patterns to rank accounts and supply evidence for targeting. Its market presence is established within GTM-engineering and prospecting workflows, where it is commonly discussed as a lookalike-search and TAM-mapping source alongside enrichment, orchestration, and outbound tools. Practitioner workflows place it in account tiering, ICP modeling, and AI-assisted research rather than as a standalone database. Recent company messaging broadens that familiar lookalike role toward contextual evidence delivered into CRM and other operating systems.
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Business Profile
Founded in 2017, Ocean.io is an independent company with 66 employees and $11M in recorded funding. The company began with lookalike company search and has recently reframed its offering around contextual intelligence for go-to-market teams. Its current site shows a workflow that connects CRM win data, identifies high-fit accounts, researches them, and delivers ranked accounts into CRM, rep queues, APIs, no-code tools, or agent workflows.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Ocean.io is extending its lookalike-search foundation into a context layer for agents, using closed-won patterns to rank accounts and explain fit. Its REST API and first-party MCP server expose company data to external workflows. The public product now describes account briefs, buying signals and an Ocean Agent that searches, scores and exports accounts through MCP clients.
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