Deliver Machine Learning Models In Weeks, Not Months
85% of AI and machine learning models fail to make it into production. Overcome the common blockers to success with MLOps – a reliable and repeatable method that allows you to deploy models in weeks rather than months.

What is MLOps?
MLOps is DevOps applied to data science and machine learning. It is a holistic approach to designing, experimenting, developing, deploying and managing machine learning models with a one-team ethos and a goal to reduce operational costs while maximising opportunities.
We can support you through every phase of your MLOps journey, regardless of your current maturity level.
MLOps Assessment
Gain a detailed picture of your MLOps capabilities and concrete recommendations to reach your aspirations through our assessment.
Our evaluation framework supports the assessment. It examines the six pillars of machine learning operation and gives actionable insight into your level of maturity across 30 criteria:
ML Pipelines & Platform
What level of automation can your models rely on?
Monitoring & Onboarding
What solutions do you have to keep track of models accuracy over time?
Security & Governance
What processes and tools do you have in place to manage access to data and secure your platform?
Ways of Working
Are your teams following best practices and able to achieve their objectives?
Data & Features
Is your data sufficient, useful and accessible?
Model
Are your models robust, maintainable and performant?