DevOps
Faster, safer delivery pipelines — automation, infrastructure-as-code and observability that let your teams ship more often with greater confidence.
Where this fits in your AI stack
AI needs DevOps too — and then some. Prompts and models are now artefacts that need versioning, testing and safe rollout, which is exactly where DevOps extends into LLMOps. We bring the automation, infrastructure-as-code and observability that let your teams ship both software and AI changes confidently, with fast feedback and safe rollbacks when something misbehaves.
Engineering velocity, without the risk
Frequently asked questions
How is DevOps different for AI?
AI adds non-deterministic components: you evaluate quality instead of just pass/fail tests, monitor for drift, and roll out prompt/model changes carefully. We extend your existing CI/CD to handle that — the bridge to LLMOps.
Can you set up CI/CD for our models and prompts?
Yes — versioned prompts and models, automated evaluation gates, canary releases and rollback, alongside your normal application pipelines.
We have no pipeline yet — where do we start?
With a quick assessment and a thin end-to-end pipeline for one service, then expand. You get value fast rather than waiting for a big-bang platform.