Esmaeil
Mousavi

Agentic AI for retail’s physical operations.

The thesis is simple. Modern AI can finally see the physical world, reason about it, and act inside it. The retail floor is where that capability matters most. U.S. retailers spend more than $120 billion a year on store IT, and shelves are still empty. navNote turns the perception and decision-making behind autonomous systems toward the inside of the store, and pairs it with a mobile workforce layer for store and field teams, cloud agents that interpret live operational data, and a manager dashboard that lets leaders ask, monitor, and act across stores in real time. It runs in the cloud, on-prem, or as a hybrid for retailers with strict security and data-residency requirements.

navNote is live in its first retail deployment, with a store team using it daily for audits and price checks, and is in early conversations with national grocers, Direct Store Delivery suppliers, and technology companies. It is working toward a data and API relationship with one of the largest grocery organizations in the United States — to train and evaluate the platform on real retail data — pending security and legal review. The company is angel-backed and early-stage, holds residency at Utah’s flagship innovation hub, was supported in its earliest months by the Weber State MicroFund + State Award ($10K combined, non-dilutive), and is advised by leaders from large retail and technology operators. Go-to-market is shaped by mentorship from the president of a major Kroger subsidiary.

navNote is headquartered at 60 Madison Avenue in Manhattan’s Flatiron District, twenty minutes from the headquarters of much of America’s retail and consumer-goods industry. Engineering operates from Silicon Slopes, with a Bay Area presence for West Coast retail and frontier-AI partnerships. The underlying platform extends well beyond retail, into warehousing, manufacturing, construction, and field sales · the categories that stayed offline while the rest of the economy went software-first.

Founded by Esmaeil Mousavi out of applied research in autonomous perception and real-time decision-making, with product engineering led by Niklas Kennedy (enterprise systems, IBM).