AI Engineering & MLOps
Models that run reliably — in cloud, at the edge, on-prem, forever.
What you get
MLOps and LLMOps pipelines, CI/CD for models, GPU optimisation, and integration with the rest of your stack. We make the boring parts boring so the models stay live.
- Training and deployment pipelines
- Model registry, versioning, and rollback
- GPU and inference cost optimisation
- ERP, CRM, and core-system integration
Typical timeline
6–10 weeks
Engagement model
- Fixed-scope or T&M, your call
- Weekly demos against named KPIs
- Production checklist before handover
- Optional managed services from week one
Ready to start
Turn one AI use case into measurable production value.
Book a 30-minute consultation. We will walk through the use case, sketch the value case, and tell you honestly whether we can help.