03 · Scale

AI and data: train, build, operate.

Three needs, three pages: train your teams, put a model into production on AWS, or hold the platform and the bill that carry them. This page sends you to the right one.

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TrainYour teams, on your own files

BuildModels and pipelines on AWS

OperateThe platform and the bill

Where to go

Train your teams

Three fixed-price tracks, on your own files, with follow-up closed within two months. Audiences, formats, seats and prices are on the catalogue page. AI training →

Put a model into production

Use-case framing, models on AWS (SageMaker, Bedrock), data pipelines and industrialization. Quoted per engagement, not from a catalogue. AI & Machine Learning →

Hold the platform underneath it

A model in production is first a platform that is held: provisioned as code, monitored, rebuildable. That is what we operate with our own tooling, across the four major providers. BAM →

Keep the bill under control

Training, inference, dataset storage: an artificial-intelligence workload is a cloud workload, with the same drift and the same levers as the rest. FinOps →

Where we operate

We operate your platforms worldwide, in every cloud region, with no geographic limit.

/ AI & Data

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