Who this is for
How do AI Builders Use GraphIQ?
AI builders creating copilots, agents, and analytics systems that require accurate data about companies and their relationships.
Examples include: AI sales agents, investment research copilots, supply chain intelligence tools, market analysis systems, and GTM automation platforms.
What is the problem with current AI systems?
Most AI systems rely on incomplete data sources such as:
CRM exports
scraped websites
spreadsheet-based enrichment tools
traditional contact databases
These sources contain records but not relationships.
As a result, AI systems often generate answers that are confident but incorrect.
Even well-designed AI agents hallucinate when the underlying data lacks context.
Why does relational data matter?
AI agents must answer questions such as:
What subsidiaries belong to a company?
What suppliers support a manufacturer?
What companies compete in a specific capability area?
These questions require relationship data, not static records.
Traditional enrichment platforms store data in tables.Knowledge graphs store connections between entities.
How do AI agents use GraphIQ?
AI agents interact with GraphIQ through the GraphIQ MCP server.
This allows agents to query the graph dynamically.
Example agent workflows include:
identifying companies similar to a target account
mapping corporate hierarchies
retrieving relevant stakeholders across subsidiaries
incorporating real-time news signals into prospecting decisions
What queries can AI agents answer with GraphIQ?
Here are some examples?
What subsidiaries belong to a specific company?
Which companies supply a manufacturer?
What companies are owned by a private equity firm?
What companies are similar to this organization based on capabilities and technologies?