Brookfield Assets builds custom AI and machine learning systems for operators in the restaurant and pub industry. Wyoming C-corp, founded 2023. Seattle-based. Clients in the US and Australia.
Incorporated in Wyoming in November 2023, Brookfield Assets began as a custom software and data-warehouse practice for operators in the US and Australia. Pipelines, modelling layers, observability, governance — the unglamorous infrastructure that makes data trustworthy enough to act on.
The arrival of production-grade language models changed the economics of what a small team can ship. We didn't pivot because AI was hot. We pivoted because the discipline we brought to warehouses — schema hygiene, evaluation, reproducibility — is exactly what most AI projects are missing.
Agents that operate inside an operator's business — not chatbots bolted onto a homepage. Tool-using, stateful, evaluated, observable.
Forecasting, classification, and computer-vision models trained on operator-owned data. Designed to earn their keep against a labor-line or a food-cost line.
The warehouses, pipelines, and feature stores that feed the above. Ten years of this discipline is why our AI work ships.
Our work lives behind the systems operators already run — POS, reservation platforms, scheduling tools. We don't ask clients to rip and replace.
Hospitality generates some of the richest operational data in the economy — covers, dwell times, reservations, check totals, rosters, headcounts — and most of it sits idle inside point-of-sale systems and reservation platforms that weren't built to export it, let alone act on it.
That gap is the opportunity. The ROI on a modest applied-AI intervention in a restaurant or pub is measurable inside a quarter. Labor, the single largest controllable line in a hospitality P&L, responds directly to demand signal. Revenue, the line above it, responds directly to discoverability.
We build on both sides of that equation.
The next wave of consumer AI — personal assistants, concierge platforms, search agents — is going to book restaurants on behalf of their users. The restaurants that don't have an AI-addressable booking layer will simply be invisible to the agents making the choice.
Quorum is a reservation engine designed to be called by other AI agents, not by humans through a web form. It understands availability, party composition, operator-defined constraints, and the messy edge cases real venues deal with. An agent calls it; a confirmed booking comes back. No human required on either side of the transaction.
This isn't a better booking widget. It's the protocol layer a restaurant needs to exist in an agent-first world. The operators who adopt it first become the default choice in AI-mediated search.
Pub labor is scheduled on a static weekly roster built from guesses about next weekend. Under-staffed shifts cost revenue, service, and reviews. Over-staffed shifts cost margin. Neither gets caught until after the fact.
Tempo uses computer vision and ML to measure real foot traffic inside a venue in near real-time, combines it with historical patterns and external signals, and surfaces staffing recommendations the operator can act on the same shift. Call in an extra bartender before the rush, not during it. Send someone home before the lull turns into paid idle time.
Labor is the biggest controllable cost line in a pub. Moving staffing from a static roster to a demand-responsive one is the kind of compounding operational shift that doesn't look dramatic on day one and looks obvious on day ninety.
Brookfield Assets serves clients in the United States and Australia. The structure is deliberate: a Wyoming-registered C-corporation with operational capacity in Seattle and on the east coast of Australia. That shape lets us run projects across both markets without fragmenting the engineering team or the cap table.
Brookfield Assets is a Wyoming C-corp structured for institutional investment and clean partnership terms. We're open to:
Strategic partnerships with reservation, POS, and venue-management platforms.
Joint builds with AI agent companies that need venue-side infrastructure.
Investor conversations aligned with the thesis above.
We're not looking for generalist capital. We're looking for partners who understand why the hospitality layer is underbuilt and want to help us build it.
Production-grade systems — agents and ML models — that operate inside an operator’s business against a measurable cost or revenue line. Not chatbots, not demos, not proofs of concept.
Hospitality generates exceptionally rich operational data — covers, dwell times, reservations, rosters, headcounts — that mostly sits idle inside POS and reservation systems. Labor is the largest controllable line and responds directly to demand signal; discoverability shapes revenue. Both sides of the P&L respond to well-built AI.
We design interventions with a 90-day median time to measurable ROI. The ROI on a modest applied-AI intervention in a restaurant or pub is measurable inside a quarter.
No. Our work lives behind the systems operators already run — POS, reservation platforms, scheduling tools. We don’t ask clients to rip and replace.
Four pillars: production LLM agents; machine-learning systems (forecasting, classification, computer vision); data warehouses and pipelines; and integration engineering behind existing operator tooling.
Seattle, Washington (United States) and the east coast of Australia. Brookfield Assets is a Wyoming-registered C-corporation serving clients in both markets.
Tell us about the operators you work with, the problem you're circling, or the partnership you have in mind. We read every email.
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