AI leaving screens and becoming useful in places where objects, people, shelves, and sensors interact in real time.
Radar is building the perception layer for retail that can turn messy stores into machine-readable environments where AI can identify, locate, and reason about products in real time.
It is basically the “operating system for physical stores”.
A lot of times, physical stores do not know whether a shirt is in the backroom, under another pile, in the wrong aisle, or if it’s already stolen.
Radar fixes that by giving stores a live map of inventory, down to about 10cm, so a worker can find the exact item instead of guessing.
The smart part is the hybrid design.
Cameras can see shelves and movement, but crowded racks confuse them.
RFID tags can identify items, but they need spatial awareness to know what is actually happening around them.
Radar combines both, so the store gets the identity of each product plus the visual context around it.
Today, RADAR announced a $170 million Series B, bringing our valuation to more than $1 billion.
We believe Physical AI can transform the 80% of global commerce that still happens in stores.
Retailers lose an estimated $1 trillion each year because their stores lack real-time visibility into what they have and where it is. RADAR is helping close that gap with 99% item-level inventory accuracy in real time, already deployed in more than 1,400 stores with leading retailers including American Eagle Outfitters and Gap Inc. brands such as Old Navy.
We are just getting started.
A big thank you to our investors, including @nimble_partners, @gideonstrategic, @AlignVentures, @sound_ventures_, @ycombinator, our customers, including @AEO and @Gap Inc., @OldNavy and the entire RADAR team for helping bring us to this moment.