GraphIQ.ai helps companies find, understand, and act on business intelligence by connecting data the way the real world connects — in relationships, not rows.
Lists tell you who exists. Maps tell you how they connect, what they're doing, and where the opportunity is. The difference isn't a feature — it's a fundamentally different way of thinking about business intelligence.
Rows of records. Each one alone. No memory of how anything relates.
Same companies. The connections are the answer — who owns whom, who moved where, where the opening is.
Before GraphIQ.ai, co-founder and CBO Malcolm DeLeo spent his early career in consumer packaged goods — formulating and selling products as unglamorous as toilet bowl cleaner. It sounds like the opposite of an AI intelligence company. It's exactly why the product thinks the way it does. The winners in that world were never the ones with the fanciest chemistry — they were the ones who understood how a product actually moved through the real world. Business data turned out to be no different: the industry kept shipping better lists, and nobody stopped to notice that the real problem was that nothing was connected.
"Innovation isn't about being in tech. It's about seeing problems others miss."
GraphIQ.ai, co-founder and CEO, Jens Tellefeson build global geo-spatial software and solutions for decades. He built the connections across what was before flat-unconnected data. Most AI data companies began with a database - rows of companies, rows of contacts — and are now bolting a model on top. The intelligence is only ever as good as the flat structure beneath it. We made the opposite choice. GraphIQ.ai was built graph-first: entities and the relationships between them are the foundation, not an afterthought. That single technical decision creates a fundamentally different product outcome — and it matters right now, because AI has finally made linked data actually queryable.
"The map was always the right structure. The tools to read it just arrived."
For two decades, progress in business data meant a longer list, a fresher list, a cleaner list. The organizing principle never changed: rows. We believe the shift from rows to relationships is the real inflection point — and that business intelligence on the other side of it looks nothing like a spreadsheet. GraphIQ.ai is a bet on that future.
"The teams who win will be the ones who can see their market as a map."
We resolve entities and the edges between them. Anyone can dump a list; we ship the connections that make it mean something.
Every capability ships as an API and an MCP capability. If an autonomous agent can reason over it, a human gets a calmer interface for free.
A wrong edge is worse than a missing one. We hold a high bar on entity resolution and we tell you our confidence, not just our coverage.
In a world of black-box data, We offer visibility. Every fact in our knowledge graph is a verifiable public source. Compliance and provenance aren't afterthought.
Built and sold consumer products — toilet bowl cleaner included — before GraphIQ.ai. Believes innovation is just seeing the problem everyone stopped noticing.
LinkedInSpent a decade on entity resolution at scale. Obsessed with precision and provenance.
LinkedInwill ask "so what?" until you either have a great answer or a great crisis — and either way, she'll turn it into revenue.
LinkedInScales graph infrastructure to billions of edges. Keeps queries fast and the bar high.
LinkedInFunded by Minds From...