United Kingdom · Healthtech & fintech MLOps

Deploy ML with evidence built in.

Clavenix helps UK teams move from prototype to a reliable service on AWS or GCP. We pair deployment engineering with practical documentation for privacy, procurement and model oversight where those requirements apply.

Fixed-scope starting pointReviewable milestonesGCP + AWS
Engineering colleagues reviewing an implementation plan together
Designed for accountable deliveryRepeatable releases, traceable decisions and operating ownership.
UK healthtechNHS-facing evidence where relevant
Fintech MLGoverned model change
Cloud engineeringAWS and GCP architecture
Clear handoverRunbooks and ownership
Services for UK teams

Production engineering that stands up to scrutiny.

We scope the work around your intended use, data flows and buyer requirements. For NHS-facing technology, we can organise technical evidence against relevant DTAC areas; your organisation retains regulatory and procurement decisions.

01 / DiscoverRecommended first step

MLOps Readiness Audit

Review your model, data interfaces, cloud setup and delivery controls to identify the shortest responsible route to production.

  • Architecture and deployment-risk inventory
  • UK data-flow and transfer questions for your privacy team
  • DTAC/DSPT technical evidence map where applicable
  • Prioritised roadmap with milestones and acceptance criteria
Best forHealthtech or fintech teams preparing a pilot or buyer review.
02 / BuildCore deployment

Reliable model deployment

Package inference as a service and give the team a release process they can understand and repeat inside their approved environment.

  • Containerised serving and CI/CD pipeline
  • Role-based access, secrets and audit logging
  • Environment and data-location choices based on your requirements
  • Staging, rollback tests and operating documentation
Best forProducts moving from research or pilot to a managed service.
03 / ScaleMulti-model project

Controlled scale across models

Make model delivery consistent while retaining evidence of each use case’s validation, release decisions and risk controls.

  • Shared registry and versioning approach
  • Approval gates and change history
  • Per-model quality, bias and drift checks
  • Evidence pack and team handover
Best forTeams standardising several models across products or sites.
04 / OperateOngoing retainer

Monitoring & maintenance

Keep services observable and changes controlled after go-live, with clear escalation and review routines for your own risk owners.

  • Availability, latency and data-quality alerts
  • Drift and performance review cadence
  • Incident and rollback playbooks
  • Documented improvements and ownership transfer
Best forTeams that need sustainable operations after deployment.
How we work

Built with your team, not around it.

Delivery begins with the context that determines the right architecture: clinical or financial use, data rights, procurement route and who will own the service.

01 / Align

Confirm the boundaries

Clarify intended use, data movement, target cloud, assurance needs and acceptance criteria before the implementation starts.

02 / Deliver

Show progress in milestones

Build the deployment and controls in reviewable stages, documenting technical decisions as they are made.

03 / Transfer

Leave an operable service

Validate release and rollback, set monitoring thresholds and hand over runbooks to your delivery and support teams.

Free resources

A guide for the next step. A brochure for the full picture.

Use the ebook to assess maturity and the brochure to compare our engagement options.

Cover of The 5 Stages of ML Deployment Maturity ebook
Free ebook · PDF

The 5 Stages of ML Deployment Maturity

Understand the capabilities between prototype and production. Complete the form to unlock the guide.

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Free brochure · PDF

Download our Service Brochure

See the audit, deployment, multi-model and monitoring services in one place. This is a general service brochure, not UK-specific regulatory guidance.

Download brochure
Free interactive tools

Map the delivery work before you commit.

Both tools are available here. The HIPAA checker is specifically for U.S. healthcare data; it is not a UK GDPR, NHS or MHRA assessment.

Deployment Timeline Estimator

Answer questions about model readiness, data, infrastructure and team capacity to get an indicative timeline and see likely delivery blockers.

Estimate your timeline
U.S. operations only

HIPAA Compliance Gap Checker

For UK teams that also handle U.S. protected health information, review U.S.-focused technical safeguards. This is not a substitute for UK privacy or NHS assurance work.

Open the U.S. HIPAA tool

UK guidance in context

Clavenix supports engineering and technical evidence preparation, not legal advice, clinical safety approval or regulatory certification. Your organisation determines which requirements apply.

After launch

Ongoing Monitoring & Maintenance Retainer

Keep deployed models observable and supported after handover. We watch for data and model drift, respond to incidents, and handle minor pipeline updates while your team retains ownership of the system. Available from Year 2.

Drift alertsIncident responsePipeline upkeep
Discuss ongoing support
Abstract visualisation of connected machine learning infrastructure

Book a Free Audit Call

Talk through your UK use case, deployment blockers and the right first step. No commitment.

Book your free call