Martez Knox
Founder & CEO
Martez is building BakedBot as an AI operating system for cannabis operators: one place to connect revenue intelligence, governed execution, and the evidence behind each decision.
Book MartezBakedBot connects customer, menu, inventory, campaign, compliance, and market signals so an operator can see the opportunity, decide what to do, and keep the evidence behind the action.

BakedBot AI · Autonomous Cannabis Commerce
Cannabis operators already have data. The harder problem is that the data lives in separate systems, decisions are made manually, and the evidence behind those decisions disappears across dashboards, inboxes, and spreadsheets.
BakedBot was built to turn that fragmentation into an operating loop: find the revenue opportunity, explain it, propose the next action, apply the required approval and compliance checks, execute within authority, and record the outcome.
The product is intentionally proof-first. When outcome evidence is not current or attributable, we show process proof, dated pilot evidence, or clearly labeled scenario math instead of presenting estimates as realized results.
Historical operator evidence
The May 2026 Thrive Syracuse pilot snapshot gave BakedBot a real operator environment for customer capture, retention workflows, campaign proposals, approvals, and POS-connected operating work.
We retain that material as historical workflow evidence. It is not presented as a current-live customer relationship, and historical operating counts are not treated as current revenue results.
Founder & CEO
Martez is building BakedBot as an AI operating system for cannabis operators: one place to connect revenue intelligence, governed execution, and the evidence behind each decision.
Book MartezHead of Revenue
Jack works with operators on the commercial path: diagnose the revenue leak, choose the right starting point, and move from proof to implementation without overselling what is not yet verified.
Book JackWe care about attributable operator outcomes, not inflated impressions or engagement claims.
Campaign and operating workflows are designed around review gates, approvals, and an evidence trail.
The system should notice an opportunity, propose the next action, execute with authority, and record what happened.
The product is shaped around customer retention, inventory, margin, competition, compliance, and the work teams repeat every week.
BakedBot agents are assigned operating responsibilities and boundaries so the automation remains understandable to the operator.