The edge institutions have, for everyone else.
The funds with analysts mapping the AI supply chain already know where the money flows. We built THE ENTITY to put that same research in the hands of any investor.
Why this exists
The story everyone tells is about the models. The real limits are physical: the electricity a data center can draw, the connections to the grid that gate it, the memory and packaging beneath the chips, the cables that wire thousands of chips into one machine.
That’s where the AI money actually flows — and almost no retail tool maps it. THE ENTITY turns the whole chain into one live model and reads it as a map of which companies profit, and which get squeezed. Research you can check — never a tip.
A note from us
“We kept watching the AI story get told through model demos and stock tickers — and kept thinking the real action was one layer down, in the physical stuff nobody could see clearly. So we built the map we wished existed: honest, checkable, and readable by anyone. If we ever sound too sure of ourselves, hold us to the scorecard.”
— The team behind THE ENTITY
How the model works
Three steps, all out in the open.
Map the chain
We lay out everything AI needs — power, chips, memory, wiring, software — and how each part depends on the others.
Score the pressure
We pull in real news and market data and work out which part is running tight, and how much weight sits on it.
Run it forward
We push the chain ahead to see where the next squeeze is likely to land — and which companies it touches.
Everything is open
Every number and rule is written down where you can check it, not a black box asking for trust.
We keep score
Forecasts are saved with dates and frozen, so you can see when we were right and when we weren’t.
No fake confidence
Each figure is marked fact, estimate or rough guess — and the AI analyst cites every part it leans on.
What we’ve shipped
Sharper signals — live macro coverage, a guarded top call, and a graph that can loosen
Lit up the live macro layer across the chain: real Federal Reserve, energy, and SEC-filing time-series now feed roughly forty of the sixty-seven constraint nodes (up from a handful), so far more of the model reacts to the actual economy — chip and equipment prices, networking and cooling costs, power and financing — rather than only to news; proprietary prices (memory, NAND, optical modules, indium, batteries) are filled from cited reporting as it appears.
The living graph — propagation, substrate fusion & self-measuring scores
Made the constraint graph live: a shock on one node now cascades to everything downstream of it (bounded by relation elasticity and a conservative coupling), so a stored node score reflects the whole chain, not just its own news — and the same living scores now feed the conviction verdicts, the Map, the Globe and the bottleneck radar from one computation.
The AI Value-Chain Index + exposure & valuation reads
Added the AI Value-Chain Index: a structurally-weighted read on the whole chain, each constituent weighted by chain centrality × √market-cap, capped per name with the excess redistributed, plus an HHI concentration read — published as a live, dated public index.
Provable bottlenecks + calibration
Added a max-flow / min-cut engine: the binding-constraint set is now the proven minimum cut of the Energy→Applications flow network, not a heuristic rank.
Quantified relations
Seeded elasticity and lag (in days) on the flagship causal relations, so propagation can reason about effect size and timing — not just direction.
Who we are & how we’re funded
An independent team
A small, independent group of engineers and analysts who got tired of reading AI as hype instead of as a supply chain. No fund behind us pulling the model’s strings.
Funded by subscriptions
We make money one way: when you pay for Lite, Pro or Terminal. We don’t sell your data, and no company can pay to look better in the model or be featured.
Honest about the model
Every figure is labelled illustrative, estimated or sourced, dated, and graded for confidence. We publish our methodology and a backtest so you can check our work, not just trust it.
That independence is the point. Our incentive is to be useful and right over time — because that’s what keeps a subscription — not to chase clicks or please an advertiser. See the security & privacy page for how we handle your data.
The boundary
THE ENTITY is an educational read on the AI supply chain. It explains who gains pricing power and who faces rising cost — never price targets or buy/sell calls. What you do with the read is yours.
Model 0.7.0 · educational analysis, not investment advice