On May 18, RADAR announced a $170 million Series B round, pushing its valuation past $1 billion—making it the first true AI unicorn in the U.S. physical retail space, not as a SaaS company but as a hardware-plus-AI play.
Gideon Strategic Partners and Nimble Partners led the round, with Align Ventures participating.
Stores inventoried every 8 seconds
RADAR is not a software company. Its product consists of RFID readers mounted on ceilings and an AI analytics engine in the store. Products are tagged with RFID—a practice that has existed for three decades—but RADAR's edge lies in two capabilities:
- Full-store inventory every 8 seconds, covering sales floor, stockroom, and fitting rooms
- 99% item-level accuracy, pinpointing exactly which shelf and level a product is on
Founded by Spencer Hewett in 2013, the company spent 13 years perfecting this. 100 billion item-level events per day—that's the data scale RADAR discloses.
Raw RFID data alone is useless. RADAR's real work is feeding RFID data streams into an AI analysis layer to answer questions like "Which items need restocking?" "Which customer segments pause at which shelves?" "Where does the fitting-room conversion funnel leak?"—data that physical retail never had before, now quantifiable like e-commerce.
Numbers that made investors sit up
RADAR didn't show off in its press release; it dropped two customer metrics:
In-store shrink down 60%. One of retail's most painful problems—theft, misplacement, process loss—cut by more than half.
Online order cancellation rate slashed from 25% to 3%.
To explain the second number: in retail, 80% of e-commerce order "cancellations" happen because the system shows stock but the item isn't actually on the shelf. A 25% rate means one in four conversions is wasted. RADAR brought that down to 3%.
That's why over 1,400 stores have adopted it—including American Eagle Outfitters and Old Navy.
CEO's blunt message
Spencer Hewett didn't mince words in the funding announcement:
"In 2026, operating without real-time intelligence in physical retail means choosing to leave billions on the table."
Lead investor Erik Oros of Gideon Capital added:
"The physical world has long been a blind spot in an otherwise data-driven economy."
That's not a new insight, but RADAR is one of the few companies with evidence at the granularity of "every 8 seconds."
AI unicorn's next move: beyond SaaS?
Looking back at RADAR's round, several counterintuitive points stand out.
First, a hardware company can command AI valuations. RADAR doesn't write prompts; it builds RFID physical sensors plus AI analysis. Yet the market values it at a multiple similar to pure SaaS AI companies—$1 billion. This follows the same logic as Anduril, Shield AI, and robotics companies this year: software AI is a crowded red ocean, while hardware-plus-AI is being seriously priced.
Second, VCs are finally digging into traditional industries that missed the AI wave. A PwC report last week said 74% of AI benefits go to 20% of companies. The remaining 80%—including physical retail served by RADAR—were considered "not digital enough to catch AI." RADAR proves the opposite: it's not that these industries can't adopt AI; it's that no one wanted to do the dirty, slow work of turning the physical world into data.
Third, the use of funds reveals ambition. RADAR plans to spend on three areas: next-generation sensors, AI analytics expansion, and autonomous checkout.
The last one is the real bombshell—Amazon Go couldn't crack it in eight years, and RADAR wants to attack from the ceiling side.
Canada, EMEA, Latin America—RADAR is starting international expansion after this round. The Series C story will hinge on whether it can scale beyond the U.S.
Sources: RADAR Raises $170 Million, Reaches $1 Billion Valuation to Bring Physical Retail Into the AI Era (BusinessWire); RADAR reaches unicorn status after raising $170M to modernize physical retail with AI (TechStartups); CocoLoop; Radar reaches unicorn status in series B funding round (CNBC)