At VersaTile, AI isn't a feature we added. It's the reason the system works. This page explains what we mean by that, and how we use AI responsibly across the product, in our engineering, and in our operations.
VersaTile systems, Matrix and Grid, are driven by a single AI engine. It doesn't schedule or pre-plan: it re-solves the floor in real time, every fraction of a second, across every cell simultaneously. The engine decides what moves, where, and when — all in response to what's actually happening, not what was expected to happen.
There are no planning cycles, batch windows, or fixed routes. The engine solves continuously and responds to changes like demand spikes, reprioritisation, failures the moment they occur.
Every movement is a data point. The data we collect, allows us to train and improve the multi agent path finding algorithms that run our products.
We don't ship black boxes into warehouse operations. The decisions made by the engine can be traced, audited, and understood. That matters when you're running critical fulfilment operations.
Our engineering team uses AI tools across the development lifecycle: for code, documentation, simulation and testing. We treat these tools the same way we treat any other: we adopt them when they make us faster or reduce error, we don't use them when they don't, and we always own the output.
AI-assisted simulation helps us stress-test the engine against edge cases that would take weeks to reproduce manually. This happens before anything is deployed on a real floor.
We use large language models to assist with implementation, documentation, and code review. All AI-generated code is reviewed, tested, and held to the same standard as anything else we ship.
We don't use AI to generate safety specs or other critical measurements. Anything that affects what the system promises to do is always verified by our engineers.
We use AI tools in customer-facing and internal processes where they save time without adding risk: drafting, summarising, researching. We don't use AI to make decisions about people, customers or partners.
We'll walk you through the AI decisions the system is making in real time, including how it handles uncertainty, failure, and reprioritisation.