Model and prompt registry
Versioned artefacts with lineage, approvals and the evaluation results attached to each release.
All services
Data & Platform
MLOps & AI Platform
Make the tenth model cheaper to ship than the first.
- Days → hours
- Model release cycle
- 1 click
- Rollback to last good version
- Self-serve
- Teams ship without us
The problem we solve
The first model ships on adrenaline. The tenth ships on platform. We build the pipelines, registries, evaluation gates and observability that let your teams release and roll back models with the same confidence as application code.
What the work includes
CI/CD for models
Automated training, evaluation gates, staged rollout, canary traffic and instant rollback.
Observability
Quality, latency, cost and usage telemetry per model and per tenant, with alerting on regressions.
Drift and incident response
Data and performance drift detection wired to owners, runbooks and defined response times.
Self-service platform
Templates, golden paths and guardrails so product teams build without a platform ticket.
How the engagement runs
A sequence you can plan a quarter around.
- 01
Assess
Current release path, tooling estate and the friction points teams actually hit.
- 02
Build
Registry, pipelines and observability delivered alongside a live model as the pilot.
- 03
Enable
Golden paths, documentation and training so teams self-serve.
Common questions
Before you commit.
- Do you impose a specific toolchain?
- No. We build on what you run — SageMaker, Vertex, Databricks, Kubernetes — and only add tools that remove work.
- Is this worth it for three models?
- A trimmed version is. We scale the platform to the portfolio, not to a reference architecture.
Related practices
Data Foundations
Pipelines, lineage, quality gates and feature stores so every model runs on data you can defend in an audit.
ViewCloud & Inference Infrastructure
GPU capacity planning, private model hosting, edge inference and FinOps for AI workloads.
ViewLegacy Modernisation
AI-assisted code understanding, migration and re-platforming for systems nobody wants to touch.
ViewTalk through mlops & ai platform.
A 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.