About InsightNodes
Technology is a network.
Companies don't operate in isolation. A semiconductor company depends on equipment, materials, energy and manufacturing. A hyperscaler depends on chips, networks and power. Capital changes who can build. Policy changes what can be built.
InsightNodes maps the relationships that connect it all.
The Problem
The information isn't missing. It's disconnected.
Technology intelligence is everywhere — funding announcements, company filings, government policy, acquisitions, partnerships, supply chains, infrastructure investments. Most tools turn that information into lists, profiles and headlines.
The difficult question is what comes next: how does one entity connect to everything around it? And more importantly, why does that connection matter?
InsightNodes was built to answer those questions.
The Graph
Start with one entity. Follow the network.
Below is the actual InsightNodes relationship graph, centered on NVIDIA — live data, not a mockup. One entity is the starting point; the network is the story.
Connection type
Click any node to open its entity page. Scroll to zoom, drag to pan.
The InsightNodes Thesis
Not every connection is equal.
Two entities can be connected in completely different ways — through investment, dependency, supply chain, development, enablement, competition, or succession. Knowing that two companies are connected is useful. Knowing why they're connected — and what that relationship means — is far more useful.
InsightNodes treats relationships as first-class intelligence, not just lines drawn between entities. That's the core idea the entire graph is built around.
Evidence
Every relationship should have a reason to exist.
InsightNodes is built around an evidence-backed repository. Claims are tied to sources — company announcements, regulatory filings, government releases, official documentation, and clearly identified independent research where that's the most honest category for a given fact.
When you explore the graph, you're not simply seeing an algorithmically generated association — you can trace the relationship back to the evidence behind it. And when the repository doesn't have evidence for something, InsightNodes doesn't pretend that it does.
Why We Built InsightNodes
Faizan Muhammad, Founder
I spent years working in global markets and financial institutions — covering currencies and rates for the bank itself and for institutional and corporate clients — before moving into personal and corporate finance. Different desks, different clients, same recurring moment: the number I needed was right in front of me, and I still couldn't answer the question that actually mattered.
The information itself was rarely the problem. It was almost always there — in a filing, an announcement, a report. What was missing was the context connecting it to everything else. A company wasn't just a company; it was its suppliers, customers, competitors, investors, infrastructure, technologies, regulators and capital, all moving at once. Seeing how one piece actually affected the rest meant manually chasing down ten other sources and holding the whole picture in my head — every single time.
That gap between having the information and understanding what it connected to is the exact problem InsightNodes exists to close. I started building the tool I wished I'd had on every one of those desks — one that shows the connections directly, with real sourcing behind every one, instead of asking you to reconstruct them yourself. That became InsightNodes.
If you're thinking about AI infrastructure, technology supply chains, or how information discovery is changing in an AI-first world, I'd like to hear from you.
The Bigger Idea
Information discovery is changing.
Search helps you find information. Databases help you organize it. AI helps you ask questions about it. But increasingly, the valuable question is: what is connected to what — and why?
InsightNodes is being built around that question — not simply to tell you what exists, but to help you understand how the system fits together.
The Road Ahead
The map is still being built.
Technology doesn't stand still. New companies emerge. New technologies replace old ones. Capital moves. Governments change policy. Supply chains shift. New dependencies appear. The graph has to evolve with them.
The repository started with AI infrastructure — one of the most interconnected technology ecosystems in the world — and has since expanded to 1900+ entities and 5600+ sourced relationships across 67+ verticals. We're continuing to expand the repository, deepen the relationships, and build tools that make increasingly complex technology ecosystems easier to understand.
The goal is simple: make the connected technology landscape easier to see, explore and understand.
See how technology really connects.
Start with one company. Follow the network.