We port proven quantitative methods to quantum-technology alternative data, producing institutional-grade industry forecasts along a causal chain of six leading indicators.
In production deliverables, every timing forecast carries P10 / P50 / P90 with triggers; every route question ships its full, round-by-round posterior history.
Industrialization propagates along an observable causal chain. The first five are leading indicators; the market is used for calibration only — the deepest split between RBTX and generic competitors.
Two kinds of questions, two engines, one evidence base and one discipline.
Survival analysis on technology milestones: analog-library priors, conditionally updated as time passes and new evidence arrives.
A sequential Bayesian ledger over candidate routes: facts enter one by one, probabilities update under pre-registered rules, winners enrich round by round.
The biggest risk in forecasting isn't being wrong — it's quietly rewriting the past. Five disciplines are built into the engines, not left to good intentions.
How evidence moves probability is written down before the evidence arrives; changing the rules means a new version, on the record.
Every conclusion uses only what was knowable at the time, and can be replayed. No hindsight.
Snapshots are never edited. Misses stay on the ledger.
One good headline never crowns a winner; only consecutive, independent confirmations upgrade a conclusion.
Probability is always reserved for candidates not on our list — the world is bigger than any hypothesis set.
We don't showcase cherry-picked wins. The registry counts from live snapshots, includes misses, and matures from 2028 onward.
Methodology note: all forecasts are pre-registered and written to an immutable ledger at issuance; the public track record counts from live snapshots only; intervals are stated as central 80% (P10–P90); nothing on this page is investment advice.