Only 13% of AI projects reach production. The issue isn't the technology itself; instead, it's that the people deploying it have often never set foot on a factory floor, in a restaurant, or inside a back office.
We operate as realists, not idealists.
We attend your meetings, walk the floor, and go to your clients' sites to find the highest-leverage AI integration points.
We don't present slide decks. We work with your team, take feedback, and iterate until you get your dollar's worth.
AI is happening now. You can't sit this one out.
Torrey Labs publishes applied research on AI systems for physical operations.
Abstract: We describe an approach to embedding multi-agent AI systems into existing business workflows — content generation, proposal creation, marketing assets, branded collateral — without changing how the business operates externally. The system inherits existing brand guidelines, templates, and approval chains, producing work that is indistinguishable from what the team already delivers. The goal is not transformation but compression: the same output, the same quality, fewer hours.
Abstract: We present a system that augments frontline hospitality staff with real-time guest context drawn from CRM records, reservation history, and ambient audio analysis. Returning guests are recognized, preferences are surfaced at the point of interaction, and service quality — cover times, upsell rates, staff engagement — becomes measurable. The result is bespoke, high-touch service at scale without additional staff burden.
Abstract: We examine the deployment of vision models on camera infrastructure already installed in retail and hospitality environments. The system extracts operational metrics businesses currently guess at — section-level foot traffic, table turnover and bussing latency, seating preference patterns, underperforming floor zones. No new hardware. Surveillance cameras become continuous operational sensors.