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Applied AI Strategy for Industrial Operations
AI Consultancy From a Team That Ships
Custom dashboards and machine learning models built on your own data, and an honest answer when you don't need one.
Custom dashboards and machine learning models built on your own data, and an honest answer when you don't need one.
Applied AI experience across logistics, aerospace, manufacturing, energy and wind.
Held by the same team scoping your consultation, not a separate advisory arm.
Most AI consultancy comes from one of two directions: a strategy firm that hands you a recommendation and leaves someone else to build it, or a vendor whose "consultation" always concludes you need their product. Neither is scoping your problem, they're scoping their own next step.
And neither tends to stick around for what happens after the recommendation, whether the model actually gets built, works, or quietly gets abandoned once the deck's been approved.
Anteam's applied AI consultancy doesn't stop at a recommendation. The same team can carry an engagement through the full lifecycle: the initial consultation, data analysis to see what's actually feasible on what you have, development and training of the model itself, and ongoing maintenance and hosting once it's live, so the model stays accurate as your operation changes instead of drifting the moment no one's watching it. You're not left holding a recommendation with no one who understands how to act on it, or a model with no one who understands how it was built.
This is run by the same team that builds and deploys the models, with over 35 years of combined AI experience and 10+ international patents across logistics, aerospace, manufacturing and energy. Not every problem needs a new model built from scratch. The consultation looks at your specific operation: where AI can realistically cut cost or risk, what data you'd actually need, and whether a bespoke model, a lighter-weight fix, or no AI at all is the right call, an honest answer even when it isn't the one that leads to a build.
See it applied: predictive maintenance built on your own sensor data →
A dashboard tells you where you stand. A model tells you what's likely to happen and what to do about it. We build both on your own data, so the prediction appears right where the decision gets made.
Designed for the calls your team makes every day, not a generic template: pricing, capacity, routing, supplier choice or maintenance planning.
Data pulled together from the sources you already rely on, so nobody has to reconcile spreadsheets before a meeting.
For example lane and customer margin, supplier performance, fleet utilisation, empty miles, CO2 per delivery or equipment health, defined the way your business measures them.
Purpose-built models trained on your operational data, not a general-purpose model prompted to guess. See why that matters in bespoke models vs. LLM wrappers.
The same kinds of models behind Anteam's products: pricing and supplier prediction, route and load matching, and predictive maintenance on equipment sensor data, applied to your problem.
Outputs shown with the trade-off behind them, such as the detour, CO2 and revenue of a matched load, so your team can trust the recommendation and act on it.
Anteam's products are themselves custom models with the software built around them, trained on each customer's own data:
Built by the same team: Anteam Quote™ supplier recommendations
Tell us about the operational problem, the cost or risk it creates, and what you've already tried. This initial call is free and no-obligation.
We look at what data you have, what you'd need, and whether the problem is actually a good fit for AI.
A bespoke model, a lighter-weight fix, or a clear "not yet" if that's the honest answer.
If it's a go, we build the dashboard and models on your data, then host and maintain them, retraining as your operation changes so accuracy doesn't quietly drift.
No. The consultation scopes what your operation actually needs, whether that's a bespoke model, a lighter-weight fix, or a conclusion that AI isn't the right tool for this specific problem yet.
We say so. Not every operational problem needs a new model built from scratch, and telling you that honestly is part of the consultation, not a failure of it.
The team's applied experience spans logistics, aerospace, manufacturing, energy and wind, with over 35 years of combined AI experience and 10+ international patents across those sectors.
The team scoping the engagement is the same team that builds and deploys the models, not a separate group handing off recommendations to someone else to implement.
Both. The engagement can cover the full lifecycle: consultation, data analysis, development and training of the model, and ongoing maintenance and hosting once it's live, so you're not left managing a model in-house with no one who understands how it was built.
Yes. We design dashboards around the decisions your team actually makes, on your own data, and pair them with machine learning models so the prediction appears right where the decision gets made.
Off-the-shelf BI tools give you the building blocks to make dashboards yourself, and they mostly report what has already happened. We design and build the dashboard around your decisions, on your own data, and pair it with machine learning models that predict what happens next and recommend what to do.
No. Every dashboard and model is built on your own data only. Your data and supplier network are never pooled or shared with other customers.
Reach out to schedule a quick 15-minute chat to discuss your pain points. We'll talk about how Anteam AI can help.