0.9 years

Trigo is a computer vision startup reshaping the retail experience. Leveraging world-class AI and algorithmics experts, the company’s advanced retail automation platform identifies customers’ shopping items with exceptional levels of accuracy, creating an entirely seamless checkout process. Trigo’s technology streamlines retail operations, prevents shoplifting, provides invaluable retail insights, and presents opportunities for new levels of customer engagement within retail environments. Join us in redefining retail. We are always on the lookout for exceptional computer vision and AI engineers who want to make a real impact within a passionate and collaborative team.




Employee counts updated on a monthly basis.

The profile picture of Daniel GabayDaniel GabayCTO
Michael GabayCEO1

The profile picture of Eran WestmanEran WestmanGeneral Partner, Board Member and Board Observer1
The profile picture of Judah TaubJudah TaubManaging Partner, Board Member and Board Observer1
Barak SalomonManaging Partner and Board Member
The profile picture of Barak SolomonBarak SolomonBoard Member
Yanai OronGeneral Partner and Board Member1


RoundDateCapital RaisedInvestors
TrigoFunding Round2022$100M8
TrigoSeries B2021$10M2
TrigoSeries B2020$60M5
TrigoSeries A2019$22M3

ㅤInvestor NameInvestor TypeAUM ($)
83NorthVenture Capital$1.85B
Hetz VenturesVenture Capital$300M
Morrag InvestmentsVenture Capital
Red Dot Capital Partners logoRed Dot Capital PartnersVenture Capital$332.82M
REWE GroupCompany
SAP SECompany
SBI JICorporate Venture Capital
TemasekInvestment Firm
Vertex VenturesVenture Capital$1B
Viola GrowthVenture Capital$728M
Viola VenturesVenture Capital$1.27B


We use the most advanced AI and computer vision technology to remove checkout lines. Our Easyout™ solution opens new paths to delight shoppers and ensures a superior shopping experience. Simply walk into a store, select the items you want, and walk out without stopping at the checkout. The Trigo vision-based retail operating system is powered by four building blocks to address retail fundamentals: anonymous tracking of shoppers, detection of shoppers’ interactions with products, product classification, and automatic data annotation.

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