"We asked Ethos Ai Bridge to build a demand-forecasting model for our warehouse network. Within ten weeks we had a working system that reduced overstock by 18% in the first quarter."
Rachel Whitmore, operations director at Pennine Logistics
We build, train and deploy machine-learning models that solve real operational problems: demand forecasting, document classification, anomaly detection and more. Based in Manchester, serving clients across the UK and Europe.
Get in touchMost companies know they should be using AI somewhere. The hard part is figuring out where it will pay for itself and building something that lasts longer than a demo. That is the gap we fill.
We take your historical data, clean it (the unglamorous bit that takes 60% of every project), select the right algorithm family and train a model you can run on your own infrastructure. Typical turnaround: eight to twelve weeks from kickoff to production-ready artefact.
A model is only as reliable as the data feeding it. We design ingestion, transformation and monitoring pipelines on cloud platforms like AWS and Azure, or on-premises if that is what your compliance team requires.
Before writing a single line of code, we run a two-week discovery sprint. We interview stakeholders, map your data estate and produce a prioritised roadmap. Clients often discover that their biggest win is not where they expected it.
We are a small, focused team. That means you talk directly to the people writing the code, not to an account manager relaying messages. Every engagement starts with a scoping call (free, 30 minutes) where we decide together whether the project makes commercial sense.
Our contracts are month-to-month after the initial build phase. If the model is not performing, you stop paying. We have kept 91% of our clients beyond the first year because the results speak plainly enough.
Transparency matters to us. You receive full access to the codebase, the training data lineage and the evaluation metrics. No black boxes, no vendor lock-in.
"We asked Ethos Ai Bridge to build a demand-forecasting model for our warehouse network. Within ten weeks we had a working system that reduced overstock by 18% in the first quarter."
Rachel Whitmore, operations director at Pennine Logistics
"Their data audit saved us from spending six figures on a project that would not have worked with our current data quality. Honest advice is rare in this space."
James Okoro, CTO at Fieldmark Analytics
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