LLMOps & AI Platform Engineering
Get AI from prototype to dependable production — deployment, observability, cost control, evaluation and the full model lifecycle (MLOps for LLMs).
What this means for your business
The gap between an impressive AI demo and a dependable production system is wide — and it's where most initiatives stall. LLMOps closes it: reliable serving, continuous evaluation, cost control and safe releases. We stand up the platform and practices that let your teams ship AI changes confidently and run them at scale, with the observability and economics to keep them healthy.
From promising pilot to production-grade AI
Model Deployment
Reliable serving for LLMs and ML models.
Eval & Monitoring
Quality, drift and safety tracked in production.
Cost & Token FinOps
Control spend without sacrificing performance.
CI/CD for Models
Versioning, testing and safe rollouts.
AI Platform Engineering
Reusable platform and golden paths for AI teams.
Reliability & SRE
SLAs, observability and incident readiness.
From pilot to dependable production
Assess
Review the pilot and the production gaps.
Platform
Stand up serving, evaluation and monitoring.
Operate
Automate releases and observability.
Optimise
Tune cost, latency and quality.
Frequently asked questions
Why do so many AI pilots never reach production?
Demos ignore the hard parts: reliability, evaluation, cost, security and change management. LLMOps provides the serving, monitoring and release discipline that turns a one-off prototype into a system you can depend on.
How do you control AI running costs?
We instrument token usage, apply caching, routing and right-sizing of models, and surface cost per feature — typically cutting AI run cost substantially without hurting quality.
How do you catch quality or drift problems?
Continuous evaluation and monitoring score outputs in production for quality, drift and safety, with alerts — so you find regressions before your users do.
Can this run in our own cloud?
Yes. We build on your cloud (AWS, Azure or GCP) and your tooling, leaving you with a platform your team owns and can extend.