This overview is shared by invitation. Enter the access code to continue.
YYZdata builds Signals: one intelligence layer that sits on top of everything a business runs on, reads its data, and lets the operator ask plain questions and get answers and actions back. Forge, our engineering arm, builds it, customizes it, and earns today.
The product answers questions. The engineering arm makes it fit each business like it was built for them, because it was.
One intelligence layer over a business's cameras, sales, systems and documents. It reads the data, surfaces the intelligence, and ties it to operations: a plain answer, an alert before a loss, an action on the business's own rules. Sold per venue at operator pricing, and as scoped enterprise programs on larger estates.
The engineering arm. Forge Express delivers packaged builds for smaller businesses: integrations, automations, storefronts, agents. Forge Studio delivers custom intelligence platforms for enterprises. Forge revenue is real today, and every Forge build sharpens the engine Signals runs on.
Read the data, any source. Surface the intelligence, an answer rather than a feed. Tie it to operations, so the output is an action, not a chart.
Video first, then the point of sale, reservations, labor, inventory, CRM, documents. Read where it lives, on site where privacy demands it. No video stored, aggregates only.
Context and models turn raw events into what happened, why, and what it cost. The line did not just form, it cost you an estimated four sales. The fridge was not just on, it was left open twice.
Push the answer into the decision: tomorrow's staffing, tonight's restock, this hour's alert, on the business's own rules. Ask in plain language, act in plain language.
The venue owns its data. We are the processor. Minimal by choice, not by limit, with identity features off until a customer's own legal review turns them on. This is what lets careful buyers say yes.
The cameras a business already runs become an instrument. An on-site box, no video stored, day-one value: the morning report before the owner opens the laptop.
Who buys it: any operator with a front door. A restaurant, a lounge, a store, a gym, a clinic, a showroom. The owner signs in days, priced like a utility on hardware they already own.
Proof: live at our first venue today, with the next paid pilots in signature. Ten scenario demos of this phase are linked below.
Connect the point of sale, reservations and labor, and the same engine that reads a camera reads a sales export. Traffic tied to money.
Who buys it: the same venues, deeper, plus small multi-site groups. Toast, Square and Flowhub all run formal, documented integration programs, so this phase is scheduling, not research.
Proof: POS connectors exist on the prototype today; productizing them is the current engineering push.
Any data the business produces, one place to ask. Every answer contextualized in the business's own terms, attributed to its source, and turned into action on the business's own rules.
Who buys it: everyone above, plus the estates: campuses, stadiums, national retail, enterprise operations. Hundreds of cameras and systems already installed, the same questions at scale, delivered as scoped programs.
Proof: active enterprise conversations today at honest stages: a major ballpark, two university campuses, a national retailer. None signed yet. One signature reprices the company.
The same problem at different scales: people arrive, wait, buy or leave, and someone has to staff, secure and stock against that flow.
Labor at 30 to 36.5 percent of revenue, bars losing 10 to 20 percent of inventory a month, no-shows past $39K a year. The morning report pays for itself in one staffing decision.
Dispensaries run cameras by state rule; stores already count on shrink. Software rides the estate they own, and the governance model clears compliance in one conversation.
Universities, ballparks, arenas. Queue intelligence is per-cap revenue, occupancy is safety, and an aggregate-only system skips the biometrics fight entirely.
The same engine on non-video data: entity resolution in auto finance, project intelligence on capital programs. Where Forge Studio already works today.
Forge is not an agency sideline. It is the Signals capability pointed at one client's problem at a time, and it pays the bills while the product compounds. Stage labels are honest: paid means paid.
AIM, for Atlas Partners. Paid and active. Capital-project intelligence for megaproject directors: reads Primavera P6 schedules and SAP project data, answers what a director needs to act. Revenue share if commercialized.
Cigar Concierge. Paid, in implementation. An AI concierge agent for a hospitality brand, end to end.
Automotive finance. In conversation. Entity resolution across customer and billing systems for a major auto lender, bounded paid discovery first.
Integrations, automations, storefronts and agents, delivered as packages rather than projects. Where a firm loses time or money, automated first.
The motion in practice: the menu we opened with a national advisory firm through an advisor who knows it from the inside. In conversation.
The flywheel: every Express client runs an operation Signals can later serve, and every Studio build hardens a piece of the platform.
Each demo is the NOW phase rendered for one setting. Same gate code as this page.