One identity graph. Every go-to-market motion runs on it.
Most GTM stacks are a pile of point tools, each with its own seat tax and expiring credits. GraphIQ.ai is one identity graph of 287M organizations — the same foundation whether you're running RevOps today, grounding an AI agent tomorrow, or sourcing deals next quarter.
Three architectural advantages over disconnected directories.
Works across industries
Built on entity resolution — the same graph tracks hiring surges, corporate hierarchies, and technology-stack shifts whether you sell to software startups, financial institutions, or federal agencies.
Priced for value, not headcount
Entities Under Watch pricing means we focus on value — add reps, ship new applications, and run as many AI agents as you need against the same subscription.
Built for what queries it next
Connect a person's workflow or an autonomous agent's toolchain the same way, through our MCP server or REST API. Every response comes back as a clean, structured JSON-LD payload — canonical entity URIs, provenance metadata, relationship references — queryable with nested AST logic instead of flat parameters.
Five intent-routed solution paths.
Revenue Operations
Replace fragmented CRM rows with entities that are already resolved. Automate territory design, map full parent-subsidiary trees, and give your entire GTM workflow one pricing-transparent data layer underneath it.
Explore RevOps →Sales & Marketing
Continuously updated intent signals, buying-group clarity, and automated lookalike prospecting — so outbound teams reach the account before the window closes.
Explore Sales & Marketing →Developers
Build internal applications, query the graph directly, and ground AI agents through our MCP server — the same interface Claude, ChatGPT, and LangChain already speak.
Explore Developers →Government & Defense
Map unclassified supply chain trajectories, identify multi-tier prime-to-subcontractor lineages, and run FOCI research — hopping the identity graph across ownership and investment edges to surface foreign ownership, control, or influence a flat record would miss.
Explore Government & Defense →Private Equity
Deal teams use the graph to map ownership structures, surface connected entities across a target's ecosystem, and flag relationships a data room won't show you — before the LOI, not after.
Explore Private Equity →Frequently asked questions
Why do you call this an infrastructure decision instead of a software purchase?
Most data tools are applications — a rep looks someone up, gets an answer, and the record decays in your CRM by next quarter. GraphIQ.ai sits underneath your CRM, your data warehouse, and your AI agents at once, so all three stay in sync against the same verified graph instead of drifting apart.
How does the graph architecture allow our business to grow without data friction?
As your organization scales into new verticals, launches product lines, or expands headcount, our graph responds elastically. Because our structural model removes per-seat licensing boundaries and credit meters, you can instantly provision data access for newly acquired teams, spin up internal automation codebases, or deploy thousands of autonomous AI agent loops with complete budget predictability.
Which industries and teams can use the same GraphIQ.ai data layer simultaneously?
All of them — from the same architecture. Revenue operations teams use it for CRM enrichment and territory design. Sales and marketing teams use it for account-based prospecting. Developers and AI teams connect via REST or MCP for agent grounding. Government and defense procurement teams use it for supply chain mapping. Private equity and VC firms use it for proprietary deal sourcing. One data layer, zero duplication of infrastructure costs.