Grocery
Mixed baskets, produce, cold items, fragile goods, and bulky scan-in-cart items.
The everyday checkout lane still depends on repetitive physical work: picking up items, finding barcodes, handling exceptions, bagging groceries, and keeping the line moving.
RoboCashier is an early-stage company exploring how robotics can make that experience calmer for customers and more efficient for stores.
What we're working on
We are studying item handling, barcode capture, bagging, exception workflows, store retrofits, and the human handoffs that make checkout hard to automate well.
Our goal is not a flashy robotics demo running at 5x speed, but a practical system built for speed, throughput, and trust inside real retail operations.
Who we're listening to
We are keeping the work intentionally quiet while we learn from the people closest to the problem.
If you run stores, design retail operations, build robotic systems, or have strong opinions about checkout, we would like to hear from you.
Who we are
Our background spans retail automation, computer vision, robotics infrastructure, and foundation models trained on several thousand GPUs.
We are applying that experience to one of retail's most physical workflows: checkout.
Retail verticals
We are building solutions that adapt across retail verticals by combining product recognition, barcode capture, physical item handling, bagging, and exception workflows.
Mixed baskets, produce, cold items, fragile goods, and bulky scan-in-cart items.
Fast baskets with drinks, snacks, household basics, and high-throughput lanes.
Soft goods, hang tags, accessories, returns, and items that need careful bagging.
Health, beauty, OTC, personal care, and small items where accuracy matters.
Tools, parts, paint, garden items, and heavy products that should stay in cart.
Beauty, pet, electronics accessories, and other SKU-dense stores with varied items.
Private updates
We share updates selectively with people who can help shape the product, the operating model, or the retail workflow.