LLMOps and monitoring
AI systems drift: models change, data changes, costs creep. We deploy, monitor and evaluate them so you hear about a problem before your customers do.
What you get
- Containerised deployment on your cloud or on-premise
- Evaluation sets that catch regressions
- Cost and latency tracking
How it works
- We containerise and deploy on your cloud or hardware.
- We build evaluation sets from real cases and run them on every change.
- We track quality, latency and cost and report on them regularly.
What you get
- Containerised deployment on your cloud or on-premise
- Evaluation sets that catch regressions
- Cost and latency tracking
A good fit when
- You have an AI feature in production and no way to measure it
- Costs are rising and nobody knows why
- A model update broke something
Where we have done this
Containerised AI services on AWS ECS with CloudWatch monitoring.
Talk to us about LLMOps and monitoring
A 30-minute consultation: the problem, the data and what good would look like. We scope and quote after it.