MLOps & LLMOps
AI systems degrade quietly: data shifts, models change, costs creep. We put in the operational layer that catches problems before your customers do.
Sound familiar?
- No one knows whether quality went up or down after a change
- Monthly LLM bills surprise finance
- Prompts are edited in production with no review
- A model deprecation notice causes panic
What we build
- Automated evaluation pipelines in CI
- Tracing and observability for every LLM call
- Prompt and model versioning with staged rollout
- Cost, latency and quality dashboards with alerts
- Failover across model providers
What you get
- LLMOps platform in your cloud
- Evaluation harness and baseline
- Alert rules and on-call runbooks
- Model upgrade process
Questions
We already have an AI system. Can you take it over?
Yes. We start with an audit of quality, cost and risk, then add evaluation and monitoring without a rewrite.
Which tools do you use?
We work with what you have where possible, and commonly use Langfuse, OpenTelemetry, Grafana and custom evaluation harnesses.
Do you offer managed support?
Yes. See the Managed AI model on our How We Work page.
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Learn more →Have an AI idea? Get a straight answer on whether it will work.
Thirty minutes with an engineer, not a salesperson. You leave with a verdict, a rough scope and the next step, whether or not you work with us.