Connected Intelligence for the Technology Economy
The technology economy isn't a list. It's a network.
InsightNodes maps the real relationships between companies, technologies, capital, people, policy and dependencies — so you can see how change in one part of the technology economy actually moves through the rest of it.
The Problem
Most tools stop at documents. The technology economy runs on relationships.
Search engines return documents. Databases return facts about entities in isolation. Chatbots summarize what's been written. None of them show you the thing that actually determines outcomes in technology, capital and policy: how entities depend on each other, and what happens when one of them changes.
The Core Idea
A company is not an island.
Below is the actual InsightNodes relationship graph, centered on NVIDIA — live data, not a mockup, showing its most direct connections. Click any node to open its real entity page, use the legend to isolate a connection type, or scroll and drag to explore.
Connection type
Click any node to open its entity page. Scroll to zoom, drag to pan, or use the fullscreen toggle to open the full map.
This is a first-degree view. The full entity page lets you go 2, 3 or 5 hops deep.
What The Graph Reveals
What does the graph actually tell you?
NVIDIA depends on TSMC for manufacturing many of its most advanced semiconductors.
which depends on↓ASMLTSMC depends on ASML's advanced lithography equipment for leading-edge manufacturing.
What else is exposed through this relationship?
This is a real, sourced two-hop chain in the current graph — not an illustration. Following it out further is exactly what multi-hop analysis is for.
From Graph to Intelligence
Four ways to work with the graph.
01
Discover
What is connected?
Explore companies, technologies, capital, people and policy as a single connected map, not separate silos.
Explore the graph →02
Trace
What depends on it?
Follow direct and indirect dependencies out multiple hops — the exposure chains a single-hop view never shows.
Try Multi-Hop →03
Compare
Where is the stronger strategic position?
Put two entities side by side and see how their relationships, dependencies and exposure actually differ.
Compare entities →04
Simulate
What happens if something changes?
Model how a shock to one entity propagates through everything connected to it.
Run a scenario →The Killer Demo
From relationships to scenarios.
A graph
What is connected?
Multi-hop analysis
What depends on what?
Scenario analysis
What happens if something changes?
Once relationships are mapped, the network becomes a way to analyze exposure. Apply a change to one entity and trace how that change propagates through the connected graph — modeling exposure, not predicting outcomes with certainty.
Evidence & Trust
Connected intelligence needs provenance.
Relationships in the graph are designed to trace back to real, working sources — an SEC filing, an official company announcement, a government release, or clearly labeled independent research. Relationships-sourced coverage and source health are surfaced so users can assess the strength of the evidence behind the graph, rather than being asked to blindly trust a black-box answer. InsightNodes checks its own source citations on a schedule and publishes the results on Data Health without editing them.
Signals
The graph updates as new evidence appears.
Insider Filing Activity
Executive and director trades sourced from actual SEC filings, surfaced on the entities they concern.
Federal Contract Disclosures
Public-sector contract activity tied to the companies and technologies it involves.
Relationship History
How a connection between two entities has evolved over time, not just its current state.
Source Intelligence
Every claim's underlying source, checked and tracked — visible on Data Health.
Scale of the Graph
One continuously expanding intelligence graph.
1900+
Entities
67+
Verticals
Who It Is For
What decisions does the graph help you make?
Investors
Understand strategic dependencies, ecosystem exposure and emerging relationships before making investment decisions.
Corporate Strategy
Map competitors, suppliers, technologies, infrastructure and strategic dependencies across complex markets.
Technology Leaders
Trace critical technology dependencies and understand where changes can propagate through the ecosystem.
Why InsightNodes
Why a graph instead of another research tool?
Traditional search
Finds documents.
LLMs
Summarize and reason over documents.
Databases
Store structured facts about entities in isolation.
InsightNodes
Builds and analyzes a persistent, evidence-backed relationship graph.
The difference isn't another interface for finding information. It's a persistent model of how the entities in that information relate to one another.
That relationship layer is what enables InsightNodes to trace dependencies, identify structural exposure, surface signals and model scenarios.
The Compounding Value of the Graph
Why the graph gets more valuable as it grows.
Each additional entity and validated relationship expands the number of connections that can be traced, compared and analyzed. The value isn't simply the number of records — it's the structure connecting them.
That structure is built and maintained through the same layers used throughout the product: identifying the real-world entities behind each claim, extracting and evidencing the relationships between them, and using that connected structure for dependency analysis, comparison and scenario propagation.
The Long-Term Vision
Building the connected intelligence layer for the technology economy.
InsightNodes is building the connected intelligence layer for the technology economy — mapping companies, technologies, capital, people, policy and dependencies into an evidence-backed, continuously evolving intelligence graph.
Current Stage
Built. Live. Now scaling the business.
- Product
- Publicly accessible platform, live today.
- Graph
- 1900+ entities and growing.
- Coverage
- 67+ verticals.
- Core Engine
- Evidence-backed relationship graph.
- Intelligence
- Multi-hop analysis, comparison, signals and scenario simulation.
- Current Focus
- Commercial validation, early customer acquisition and repeatable B2B adoption.
Don't take our word for it. Explore the graph.
The fastest way to understand InsightNodes is to use it — see the relationships, trace the dependencies, run a scenario.