MLOps Consulting
Operationalise models with robust pipelines, monitoring and governance. MLOps and LLMOps from a maturity audit through to an operating retainer, for both traditional ML and generative AI.
Models that stay reliable in production
Getting a model live is one thing; keeping it accurate, observable and governed is another. MLOps is the discipline that stops production AI from quietly breaking.
We assess your current maturity, build the pipelines and monitoring you are missing, and can operate the result on a retainer, covering both traditional ML and generative AI (LLMOps).
- A maturity audit that shows exactly what is missing.
- Training, deployment and monitoring pipelines built to last.
- Covers both traditional ML and LLMOps.
What we put in place
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Maturity audit
A clear picture of your current MLOps practice and the highest-value gaps to close first.
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Pipelines and monitoring
Training, deployment and monitoring pipelines with versioning, testing and drift detection built in.
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Governance and operation
Model governance and an optional operating retainer so production AI stays accurate and accountable.
Frequently asked questions
What does an MLOps audit cover?
Your pipelines, deployment, monitoring, governance and team practice, ending in a prioritised list of the gaps that most affect reliability.
Does this include generative AI?
Yes. The same principles apply to LLM systems (LLMOps): versioning, evaluation, monitoring and cost control in production.
Can you run it for us?
Yes. We can hand over the pipelines or operate them on a retainer, depending on how much you want to own in-house.
Stop production AI from quietly breaking
Tell us where your models run today. We will audit your MLOps and close the gaps that threaten reliability.