One method, run into the ground truth of each industry.
Everything ICHOR builds is different on the surface and identical underneath. The systems are bespoke; the discipline is not. This is the discipline.
Not a codebase. A standard.
What unifies a real-estate sourcing engine, a critical-minerals royalty desk, and a systematic trading book is not shared software. Each is built from the ground up for its own industry, from that industry's own data. What they share is a method: a fixed sequence of steps, each one traceable, applied with the same rigor whether the object is a parcel, a royalty, or a trade.
A new industry is the same method run into new terrain, not a fresh theory. That is why coverage compounds rather than fragments.
The five steps
Source
Pull the truth from primary data before it reaches a listing, a feed, or a screen everyone else is watching. The corpus is assembled from the authoritative record for each industry, not scraped aggregators.
primary sources · off-market · pre-signalResolve
Reconcile that data into a single, clean picture of each object. Entities matched, conflicts adjudicated, gaps flagged. A decision is only as good as the object it is made against, so this step is where most of the work lives.
entity resolution · reconciliation · provenance keptDecide
Score every object against the operator's own mandate and return a ranked call, with the reasoning attached. Not a dashboard to interpret. A decision, and the case for it.
mandate-ranked · reasoned · buy-box awareAct
Carry the decision through to the thing that actually happens next: the outreach, the terms, the valuation, the order. The system does the work, not just the analysis, and writes the result back into the corpus.
forward-deployed · closes the loop · writes backProve
Every step is traceable to its source, and every model is held to account. Nothing is asserted that cannot be shown. This is the step enterprise-AI shops skip, and the reason ours can carry an outcome on its back.
traceable · auditable · accountableRigor as a product
Quant-desk discipline, carried into industries that have never seen it
Every model is pre-registered before it is trusted, tested out-of-sample against data it has never touched, and killed if it fails. There is no fitting a story to the past and calling it insight. A model earns its place by surviving the test, or it does not run.
The hypothesis and its test are fixed in advance, so a result can't be reverse-engineered into a story.
Validated against data held back from the build. In-sample performance is not evidence; it's the null.
A failed test retires the model. The graveyard is a feature, not an embarrassment.
Built into your operation and run alongside you. The decision layer, the entitlement, and the encrypted models stay ours; your data and the room it runs in stay yours.
What it is not
Not a dashboard. Dashboards show you the past and leave the decision to you.
Not a black box. Every call traces back to a source you can inspect.
Not one model, generalized. Each industry gets its own, built from its own data.
Not a thin wrapper on a foundation model. The model is the easy part; the method is the moat.
See it run on your industry.
ICHOR deploys one industry at a time, for the operators who move first. Every inquiry is read personally.
Request access