Accel Robotics
Accel Robotics develops AI-based automated checkout solutions for offline retailers, using computer vision technology to enable frictionless shopping experiences. The company's flagship product, OMNIO, uses overhead cameras to track what people pick up in stores and automatically bills them as they leave, eliminating the need for traditional checkout processes. The platform provides comprehensive solutions including…
Funding snapshot
About
Accel Robotics develops AI-based automated checkout solutions for offline retailers, using computer vision technology to enable frictionless shopping experiences. The company's flagship product, OMNIO, uses overhead cameras to track what people pick up in stores and automatically bills them as they leave, eliminating the need for traditional checkout processes. The platform provides comprehensive solutions including security and loss prevention, analytics insights, customer engagement tools, and automated checkout capabilities. Accel Robotics' computer vision technology enables real-time tracking of customer interactions with products, creating a seamless shopping experience where customers can simply walk in, pick up items, and walk out without waiting in lines or scanning products. The system caters to commercial spaces including retail stores, hospitality and entertainment sectors, and other high-traffic environments where checkout friction impacts customer experience and operational efficiency. By automating the checkout process, the technology helps retailers reduce labor costs, minimize shrinkage through continuous monitoring, gain valuable analytics on customer behavior and product interactions, and improve overall customer satisfaction. Founded in 2015 and headquartered in San Diego, California, Accel Robotics has raised $35.0M in Series A funding from investors including RevTech Ventures, EvoNexus, New Ground Ventures, CVC Japan, SoftBank Group, GMO Venture Partners, MicroVentures, Botticello, Renn Ventures, and Sentiero.
Business model
Security & Surveillance Technology > PIAM > Biometrics System > Multi-modal Biometrics,
Image Recognition > Applications > Offline Retail > Retail Execution,
RegTech > Fraud Detection > User Authentication > Finger Print,
In Store Retail Tech > Store Operations Management > Diversified,
Autonomous Retail > Physical Stores > Technology Enablers > Autonomous Store Platform,
Trust Shops > Unmanned Stores > Pay-By-Text,
Online Grocery > Autonomous Stores > Tech Enablers > Autonomous Store Platform
Team background
College Wise > Harvard University
Institutional investors
Backed by funds in our directory
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