Sourcing alpha and portfolio intelligence built on a resolved identity graph.
Deal teams lose their edge when they rely on the same static, brokered lists as their competitors. GraphIQ.ai maps the entire B2B landscape into a living network topology of 287M organizations, their global hierarchies, and billions of operational signals. Sourcing teams use it to discover un-brokered lookalike targets; operating partners deploy it sitewide to accelerate portfolio GTM data infrastructure with zero seat-tax constraints.
Institutional workflow modules for PE deal teams and portfolio operators.
Programmatic Lookalike Sourcing
Drop your top-performing portfolio companies in as anchor nodes. The graph analyzes structural commonalities — hiring signals, tech-stack infrastructure, geographic footprint — to surface comparable, off-market assets across 287M entities.
/platform/lookalike →Corporate Hierarchy Diligence
Tracing parent, subsidiary, and affiliate connections lets deal teams map a target's full corporate family tree before the LOI.
/platform/identity-graph →Portfolio GTM Acceleration
Stop budgeting for new data licenses every time a portfolio company scales its sales org — operating partners can roll GraphIQ.ai out to newly acquired assets, with unlimited seats included.
/solutions/revops →Thesis-Tracking Signal Feeds
Monitor your highest-conviction investment spaces through billions of operational signals — executive churn, funding activity, cloud-infrastructure changes — across thousands of target entities at once.
/platform/signals →Data infrastructure built for multi-year horizons. Not monthly credit resets.
Traditional vendors charge by seat and reset your credits every month. GraphIQ.ai prices by Entities Under Watch instead — monitor your entire investable universe year-round, let every analyst and deal team member query the system at once, and run local AI reasoning models directly through our native MCP server.
Frequently asked questions
How does GraphIQ.ai assist with proprietary deal sourcing?
Instead of static filters, you point our lookalike engine at an existing high-conviction asset, and the graph ranks off-market targets by structural similarity.
Can our proprietary AI models and investment tools query the graph?
Yes. Via our native MCP server, your internal deal-sourcing algorithms, custom GPTs, or Claude Desktop clients can natively query, extract, and reason over our structured JSON-LD entity responses without writing bespoke API wrapper code.