Between 80% and 90% of all models developed by data scientists never make it to production. Using our extensive repository of pipelines and expertise, we design machine learning operations that enable you to operationalize your AI aspirations and extract more value from your data. Faster.

Making sense of your data

You’re drowning in vast volumes of data. You know within this data lies insight that could be instrumental in helping you to distribute your products in more efficient ways, for validating pricing strategy, or preventing lost sales and churn. But how do you operationalize AI and unlock this value potential? The answer lies in our machine learning operations (ML-Ops) solutions.

Making your data deployable

Does your use case require batch processing or real-time streaming? Would federated learning work best or is a centralized approach sufficient? And then there’s security, regulations, your existing IT landscape and the size and maturity your engineering workforce to consider. You can’t develop MLops in isolation. We work with your C-suite and within your teams to design solutions tailored to your unique use cases and your organization's maturity level. 

Our purpose-built tools and platforms are designed for running machine learning at scale, so you gain a competitive edge from your data.

We deliver impact. Faster.
Articulating the critical need for MLops

We work with you to curate high impact AI and ML use cases that show clear commercial value, securing C-level understanding and senior sponsorship for your projects.

Driving engagement at all levels

From untangling the intricacies of your data and articulating your vision at C-level, to working with your teams to build your capabilities and integrate machine learning into your everyday operations.

A detailed implementation roadmap

Our in-house experts take your aims and design scalable MLOps systems to deliver them. We then work with you to identify the capabilities and pipelines needed to deliver your specific use cases.

Futureproofing solutions

Through knowledge handover and our GAIn training modules, we empower your in-house teams to take ownership of maintenance and future enhancements.

What if we could make sense of vast volumes of data and translate it into highly scalable AI applications?
We can.
Find out more

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