Your logic + our AI
Cadastre
The logic in question took twenty years to earn: which deals to chase and which to walk past, what a warning sign looks like at week three instead of month six, when to say no. It lived in exactly one place — the founder’s head — and the deal flow had outgrown the day.
Cadastre encodes that judgment and points it at the world. Its engine draws on public and proprietary databases, maps and visual records, news, and public calendars — and sends research agents after what isn't in any database — then AI synthesizes the canonical with the inferred. Every opportunity gets read the way the founder would read it: their criteria, their weightings, their disqualifiers. The good ones surface. The time-wasters sink before anyone spends a morning on a dead deal.
Partway through the build, the CEO asked the best security question we've ever been asked: "Who's going to learn my trade secrets?" It became the second design requirement. Their logic — the criteria, the weights, the custom components that encode how his company decides — is architecturally separated from the engine and contractually off the market: never resold, never reused for anyone in their world. The logic stays theirs.
The deal matches the design. The CEO holds a perpetual license to everything we deployed — engine and custom alike — to run, modify, and keep. We host it today because that's what suits them; the day it doesn't, they can take the whole system in-house. The exit is in the contract.
That's our model in miniature: judgment encoded, working around the clock — theirs for good.
Draws on government and commercial databases, maps, visual material, news, and public calendars — and agentically researches the rest
Synthesizes canonical reference with AI-driven inference, then scores every opportunity through the owner's own criteria — the weightings, the disqualifiers, the exceptions
Shows its reasoning on every recommendation — the owner sees why, and tunes the logic as the market moves
Built to wire into the CRM, calendaring, and project systems the business already runs
The custom layer architecturally separated from the core and never resold — the client's logic is not our product
Perpetual license, hosted by us or taken in-house — theirs for good
Agentic Research & Selection
+ Encoded Judgment
AI x (custom for each client)
Cadastre
Use cases
Deal sourcing. An acquirer scanning listings, filings, permits, and local news for the three targets in a hundred that fit its thesis — and deserve a site visit.
Bid triage. A services firm facing fifty public RFPs a quarter with capacity to answer eight, letting its own win-logic choose the eight before anyone opens a single one.
Site and territory selection. An operator weighing where to open next — maps, zoning, permit activity, demographic shifts, competitor moves — scored against what has actually worked for it before.
Demand signals. A supplier watching permits, expansions, hiring, and construction calendars to learn who is about to need what it sells, weeks before the RFQ goes out.
Lead qualification at volume. A sales team applying the owner's picture of a good customer to every inbound lead and every public prospect, so the pipeline sorts itself.
Early warning. A lender, landlord, or partner reading filings, liens, calendar events, and news for the trouble that shows up in public records before it shows up in a phone call.
Timing. Any business whose deals are gated by hearings, auctions, expirations, or permit windows — a calendar the engine watches so you're first in the room.
Competitive watch. Who's entering your market, what they're bidding, where they're opening — synthesized from public sources into a weekly brief written to your priorities.
Architecture, plainly
The data you study in the wild – that you do or don’t own – structured and unstructured
Your judgment and knowledge
AI research agents
AI inference and synthesizing agents
Cadastre console communicating plainly, canonically and inferentially
Wired into systems, your collaboration suite, your CRM, your BI, your custom structured and unstructured data stores
