01 / DiscoverRecommended first step
MLOps Readiness Audit
Identify what is actually blocking a safe launch before committing to a build. We review the model, data dependencies, cloud architecture, release workflow and operational ownership.
- Model and data-flow inventory with deployment risks
- Security and ePHI control gaps where HIPAA applies
- Prioritised architecture and release roadmap
- Written scope, milestones and acceptance criteria
Best forTeams with a working model and an uncertain path to production.
02 / BuildCore deployment
From notebook to production
Package the model as a managed service and make releases repeatable. We design around your approved cloud account, data boundaries and human workflow.
- Containerised inference and deployment pipeline
- IAM, secrets, encryption and logging configuration
- Staging, rollback and integration checks
- Architecture notes and operating runbook
Best forHealthcare and fintech products moving beyond a pilot.
03 / ScaleMulti-model project
Standardise more than one model
When teams own multiple use cases, establish a shared delivery pattern without hiding each model’s unique risks and validation needs.
- Reusable registry, release and approval patterns
- Environment separation and access review
- Model-specific performance and drift thresholds
- Documentation for change control and handover
Best forTeams expanding from one production model to a portfolio.
04 / OperateOngoing retainer
Monitoring & maintenance
Keep the service observable after launch. We help define who responds, what triggers review, and how model or data changes reach production safely.
- Availability, latency and data-quality monitoring
- Drift and performance review cadence
- Incident, rollback and retraining playbooks
- Regular improvements with accountable ownership
Best forTeams that need reliable operations beyond go-live.
