Unsurpassed accuracy
Identify products and objects in even the most challenging retail environments
Reduce shrink, optimize operations, and strengthen customer experiences with AI-based computer vision that fits any retail solution
We’ll bring the computer vision.
Shrink and operational inefficiencies are major retail challenges. Why add on the difficulty of finding or building retail-ready computer vision engines?
UltronAI delivers the accuracy, scale, and flexibility you need in a computer vision platform, helping you accelerate development and bring your solution to market faster.
Any angle, any lighting, any variant. With obstructions, at speed, and at scale with hundreds of thousands of items across all your stores.
UltronAI identifies everything a human can—but at the speed and scale that no human can match.
Pre-trained and commercial AI models are generalists. UltronAI’s foundation models are purpose-built to excel at retail.
Built on top of enterprise grade AI and data infrastructure
Excel at detecting, identifying, and tracking products, carts, baskets, humans, faces, human poses, and human actions
Adapt to any retail use case that relies on computer vision for success
Recognize hundreds of thousands of products with no loss of speed or accuracy
Scale to thousands of stores cost-effectively without the need for per-store training
Deploy quickly and with reduced maintenance via global, single-image enrollment
Maintain accuracy and speed across all your stores despite wide variations in store conditions
Computer vision is just the beginning. With UltronAI, solve real retail challenges—shrink, operational inefficiencies, and customer loyalty—faster than ever before.
Operate either on cost-effective edge devices or in the cloud
Integrate with existing solutions or easily build into new systems via API-first architecture
Sophisticated retail foundation models reduce initial training burden and eliminate incremental training requirements
Deploy the complete computer vision processing pipeline or complement in-house or open source CV pipelines