The connected economy needs a new lens
Understand how
the world connects.
Agentic AI for structural intelligence.
InsightNodes combines a proprietary intelligence graph, evidence-backed research and Agentic AI to investigate how companies, technologies, capital, people and markets connect — and why those connections matter.
1,901+
Entities
5,605+
Relationships
62+
Countries
67+
Verticals
Research objective
Map the direct and indirect relationships connecting NVIDIA with OpenAI.
Recent activity
- · Mapping NVIDIA-OpenAI direct relationships
From data to perspective.
The intelligence gap
Knowing the entities isn't enough.
Search engines return documents. Databases return entities. Chatbots summarize information.
The important insight often sits between them.
Research tells you about the entities.
InsightNodes maps the relationships between them.
Dependencies
Who relies on whom
Technology
How innovation connects
Capital
Investment and funding relationships
Supply Chains
Global networks and infrastructure
Competition
Rivals and adjacent markets
Second-Order Effects
The connections others miss
From information to intelligence
What InsightNodes computes that nobody else does
Every row below is live on NVIDIA's actual page right now — click any one to see it for real.
| Understand | |
| Relationship Map | An interactive, clickable map of how an entity connects — ownership, dependencies, regulation, technology and more, several hops out. |
| Confirmed Dependency Edges | Connections in the Relationship Map get a checkmark when an earnings-call mention or patent citation independently corroborates that edge. |
| Relationship History | How a connection between two entities evolved over time, not just its current state. |
| Strategic Importance & Confidence | Every entity is rated Critical to Emerging, with a transparent confidence score on how well-sourced the claim is. |
| Monitor | |
| Activity (Relationship Velocity) | Whether an entity's recorded connections are accelerating, cooling, or steady over the last 90 days. |
| Momentum | Combines hiring, patent filing, and insider filing trends into one directional read. |
| Emerging Signals | Forward-looking shifts in the landscape, tied to the entities they affect. |
| The Story So Far | An auto-generated timeline built purely from dated milestones and sourced updates — not AI-written, just sorted. |
| Analyze | |
| Chokepoint Score | Computed fresh from the live graph — how many other entities structurally depend on this one. |
| Correlated Activity | Flags when an entity and something it depends on (or that depends on it) both show a burst of recorded change in the same window. |
| Insider Timing Correlation | Cross-references an insider's SEC Form 4 buy/sell timing against dated milestones and relationship changes at the same company. |
| Strategic Intelligence Report | Every entity profile can be published as a clean, shareable PDF-style report. |
| Verify | |
| Milestones | A sourced, dated history of the entity's key moments — founding to present. |
| Market Intelligence | Credibly-reported but unconfirmed claims, kept structurally separate from verified evidence. |
| Earnings-Call Mentions | Literal, dated quotes pulled straight from a company's own SEC 8-K filings when they name another tracked entity. |
| Source Intelligence | A public look at how well-sourced the graph is, tier by tier. |
| Decide | |
| Insider Filing Activity | Tracks Form 4 filing frequency straight from SEC EDGAR. |
| Federal Contract Disclosures | Real federal award data from USAspending.gov — agency, dollar amount, and award ID, updated monthly. |
| Compare Workspace | Put two entities side by side — which holds the stronger strategic position, and why, built from real graph metadata. |
| Scenario Simulator | Model a shock to one entity and trace, deterministically, how it propagates through the graph. |
| Portfolio Intelligence | See a group of holdings as one graph — shared dependencies, competitive overlap, and second-order exposure a single entity view would miss. |
An AI-native structural intelligence system
How InsightNodes works
Graph. Evidence. Time. Analysis. Agentic AI. A complete system for connected intelligence.
From complexity to clarity.
The Graph
A proprietary knowledge graph of companies, technologies, people and capital, connected by confirmed dependency edges.
Real Evidence
Sourced milestones and citations with full provenance, not summarized guesses.
Agentic AI
Investigates, analyzes and synthesizes structural intelligence across the graph.
Challenge & Verify
Independently tests findings against relationship history for accuracy, contradictions and missing context.
Actionable Insight
Structural analysis distilled into structured answers, visual maps and clear next steps.
Real graph proof
See the structure.
A company is not an island.
Every technology company sits inside a network of suppliers, technologies, infrastructure, capital and strategic dependencies.
Trace relationships across multiple hops to see how the network expands.
One entity. Thousands of connections. Multiple layers of context.
Explore NVIDIAExample research
See the intelligence behind the answer.
A pre-generated InsightNodes research investigation — showing how Agentic AI combines graph structure, evidence and verification.
Pre-generated example · No live queryResearch objective
“Map the direct and indirect relationships connecting NVIDIA with OpenAI.”
Direct answer
NVIDIA and OpenAI are directly linked through both a supply and an investment relationship: NVIDIA is OpenAI's major GPU supplier, committed to a 10-gigawatt systems deployment with up to $100 billion in related investment, and was one of three co-leads (alongside Amazon and SoftBank) in OpenAI's ~$110 billion 2026 funding round at an $840–852 billion valuation. Indirectly, they are connected through Microsoft (which invests in OpenAI and depends on NVIDIA GPUs for Azure) and through TSMC, a shared upstream manufacturing dependency for NVIDIA and competitor-turned-OpenAI-supplier AMD.
Key structural findings
- OpenAI depends on NVIDIA for GPU supply (model training/inference); NVIDIA also invested $30 billion as one of three co-leads in OpenAI's 2026 funding round alongside Amazon ($50B) and SoftBank ($30B), at an $840–852 billion valuation.
- NVIDIA and OpenAI announced a September 2025 letter of intent for at least 10 gigawatts of NVIDIA systems deployment, with NVIDIA intending to invest up to $100 billion as systems deploy; a separate August 2026 arrangement has NVIDIA backing up to $105 billion in financing for an OpenAI Ohio data center.
- Microsoft has invested tens of billions in OpenAI and is its largest cloud provider, while Microsoft separately depends on NVIDIA GPUs to build Azure AI infrastructure — creating an indirect NVIDIA-OpenAI link through a shared major partner.
Structural implication
- NVIDIA's demand for its own hardware is reinforced twice over: directly through its OpenAI supply/investment relationship, and indirectly through Microsoft, which is both an OpenAI backer and an NVIDIA GPU customer.
- OpenAI's parallel deals with AMD, AWS, Cerebras, Broadcom and Oracle suggest a deliberate diversification away from sole NVIDIA dependence, even as NVIDIA remains its largest and most financially entangled supplier.
Captured from an actual InsightNodes research run.
InsightNodes is not a chatbot with a graph attached — it is an agentic research system grounded in structural intelligence, evidence and verification.
Who it's for
Built for decisions across the connected economy.
Investment & Asset Management
Portfolio structure, dependencies, relationships and strategic research.
Corporate Strategy & Procurement
Competitive ecosystems, suppliers, partners and technology dependencies.
Technology & Infrastructure
Supply chains, platforms, infrastructure and emerging constraints.
Institutional Intelligence
Combine external structural intelligence with proprietary institutional data, research and workflows.
AI Research & Agents
Give AI a structured world to investigate — with sourced relationships, dependencies and evidence across the connected economy.
What you can explore today
Multiple lenses. A deeper view.
Ask questions, uncover connections and identify opportunities across the global technology and investment economy.
Dependency Intelligence
Trace confirmed dependencies across multiple hops and model how structural changes can propagate through the network.
Relationship Intelligence
Map direct and indirect connections between entities — including how relationships evolve over time.
Temporal Intelligence
See what changed, when it changed, and how the structure evolved.
Portfolio Intelligence
Explore shared dependencies, competitive overlap, second-order structure and deterministic scenario changes.
Bottleneck Intelligence
Investigate potential structural bottlenecks and upstream constraints.
Want to model a disruption?
Apply a shock to any entity and trace, deterministically, how it propagates through the graph.
Signature differentiator
What might you be missing?
The most valuable discovery isn't always the answer to the question you asked.
It can be the relationship you didn't know to look for.
InsightNodes continuously expands the question.
Second-order discovery
A second path the graph surfaces
A concentration in one holding's upstream memory supply chain, and a separate compute-partner exposure most portfolio reviews wouldn't surface on their own.
Evidence / Trust
AI that can show its work.
InsightNodes separates source facts, graph facts, derived measures, interpretation and unconfirmed signals — so intelligence remains explainable and traceable.
The core chain
Evidence → Structure → Implication → Decision
From AI assistant to intelligence system
Five specialist AI agents. One connected answer.
InsightNodes is building toward five specialist AI agents, coordinated around a common structural intelligence layer — each focused on a critical stage of the research process: exploring the knowledge graph, gathering and verifying evidence, challenging findings, and synthesizing a clear, structured answer.
1
Understand
Research Agent
Interprets your question, identifies key entities and defines the research plan.
2
Investigate
Graph Agent
Explores the knowledge graph to uncover relevant relationships and context.
3
Verify
Evidence Agent
Retrieves and evaluates evidence from trusted sources.
4
Challenge
Analysis Agent
Tests for gaps, contradictions and alternative explanations.
5
Synthesize
Synthesis Agent
Combines findings into a clear, structured answer with actionable insights.
Connected
Intelligence.
What's coming next
From research platform to intelligence infrastructure.
The next evolution is from research workflows to continuously operating intelligence.
Continuous Intelligence
Persistent monitoring of entities, relationships and emerging signals.
AI Portfolio Intelligence
Institutional portfolios, structural analysis and continuous research.
Institutional Intelligence
Integrate proprietary data and workflows for enterprise use.
AI-Agent / MCP Integration
Enable external AI agents and systems to access InsightNodes intelligence.
A growing map of the connected economy
From semiconductors and AI infrastructure to banking, fintech, healthcare, energy, mobility and beyond.
1,901+
Entities
5,605+
Relationships
3,298+
Evidence Citations
2,762+
Dated Milestones
62+
Countries
67+
Verticals
Live across the graph
The graph keeps moving.
New evidence entering the intelligence graph.
The graph compounds.
Every validated relationship creates new paths that can be investigated, compared and understood.
The value is not simply the number of records — it is the structure connecting them.
Explore the connected world.
See the structure. Understand the relationships. Find what you might be missing.