Every licensed cannabis operation already generates a flood of data — METRC submissions, POS sales, middleware logs, scanner events. Almost none of it gets read. Joint Venture is the intelligence layer that finally does.
Not a chatbot · an intelligence layer
on top of the data you already have
Cannabis is one of the most heavily tracked industries on earth — every plant, every gram, every transfer logged into state systems. But logging data is not the same as understanding it. Operators collect enormous amounts of information and have no layer that interprets it. The signal is buried in the noise.
METRC, POS, and middleware each store what happened. To find a problem, a human has to already know where to look — and most of the time nobody does until an audit, a stuck manifest, or a discrepancy makes it expensive.
Ours reads across all of it at once, surfaces what's off before it costs you, and answers plain-language questions out loud. It doesn't replace a single system you run — it makes the operational signal audible to people who couldn't hear it before.
METRC only sees what gets submitted successfully. The real operational story lives one layer down, in the middleware and ERP systems that run the floor — the failed scans, the retries, the abandoned workflows, the timing delays, the corrections. The gap between what the state sees and what actually happened is exactly where intelligence lives.
These are real operational failures the overlay is built to surface — the kind that slip past busy humans and turn into compliance exposure weeks later.
This is not a sale, a license, or a handoff. The overlay stays ours. A platform that already holds the operators — METRC, or a market player fighting for share — deploys it through relationships they already have and monetizes it. We earn on every deployment. They don't have to build AI, figure out what operators need to ask, or prove anything. That work is done.
The pilot is a real operator running a licensed grow and distribution business in Los Angeles — multiple business types under one roof, so the system proves itself across grow and distribution against genuine METRC data and genuine compliance requirements. Not a simulation. Live operational proof before a single partner conversation.
State-mandated seed-to-sale tracking means thousands of operators across dozens of states are required to run these systems. Every one of them is generating operational data. None of the platforms holding them offer a layer that interprets it. That's the opening.
Operator and state counts reflect the footprint of state-mandated cannabis track-and-trace programs. Pricing is illustrative and set with each partner.
The overlay is the asset. But a second business funds the first and pre-sells it: teaching operators how to think with operational intelligence. It needs no software to start, delivers value immediately, and turns pilot operators into industry trainers who create inbound demand for the platform.
A recurring subscription for every operator running the overlay. Operators stay because a platform that thinks for them is one they can't afford to leave — which makes the revenue sticky and the operator hard to poach.
| Scenario | Operators running it | Revenue / year |
|---|---|---|
| Early | 1,000 | $0.36M |
| Growing | 10,000 | $3.6M |
| Strong | 50,000 | $18M |
| At scale | 150,000 | $54M |
Illustrative at $30 per operator per month — final pricing is set with each partner. Training and consulting revenue is additional and arrives earlier.
The overlay is platform-agnostic: it works the same whoever deploys it. The partner changes; the product doesn't. How it connects, correlates, and reasons is not disclosed here — full details are shared only under a signed NDA.
The intelligence layer cannabis has been missing is built, reasoning across real operational data, and ready to deploy. The overlay stays ours; the partner brings the operators; both sides monetize. The only question is who switches it on first.
Confidential · Do not share without a signed NDA