01
AI agents & chatbots
Agents that resolve queries and execute processes, wired into the systems you already run.
Learn moreMLOps
MLOps, model monitoring and validation
In banking and insurance it isn't enough for a model to predict well on the day it was trained. It has to be maintained, monitored, and explainable when someone asks why it decided what it decided.
Signals
This sounds familiar if…
If you recognise any of these, there's something worth fixing — and it probably costs more than it looks.
You have a model in production and nobody knows if it still predicts well.
Risk asks you to justify the model and there's no documentation.
Retraining is a manual process only one person knows how to run.
How we work
A process you can follow step by step.
No black boxes, no surprises on the invoice. You know what happens at each stage and what you get at the end.
Diagnostic
30 free minutes to understand your operation and tell you straight whether we can help — or whether we can't.
Scope and price
A proposal with explicit assumptions. Cost follows scope; be wary of anyone who quotes without looking at your operation.
Build
We iterate with frequent releases. You talk to the engineers writing the code, not to a middleman.
Operate
Monitoring, validation and training so your team can run it. We stay until it walks on its own.
Frequently asked
Questions about mlops & data governance
Something missing? Book a call and we'll cover it in the diagnostic.
It's when the data reaching your model in production stops resembling the data it was trained on, so the model degrades without anything visibly breaking. You catch it by monitoring. If you don't monitor, you find out from the business result months later.
Yes. It's a common engagement in regulated contexts, where the party validating a model shouldn't be the party that built it.
Both. Taking an existing model and wrapping it in monitoring, versioning and documentation is often the highest-return first step.
Keep exploring
Other services
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Cloud consulting
Migration, architecture and cost control on AWS or Google Cloud, chosen for your case — not for our convenience.
Learn more03
Automation & scraping
We take the manual, repetitive work off the table: scraping, scripts, and integration between systems that don't talk.
Learn moreHalf an hour, free, to see if it makes sense.
Tell us what you're dealing with. We leave the call with a clear view of whether we can help and where to start.
TODO: real booking link and email address