Need a plan to get started?
We work with you to create a roadmap that's a prioritised series of incremental use cases that lay out what you want to achieve with your data. Each will have a clear business outcome and measurable return on investment. These then guide our design of your Databricks platform. Because technology follows your business, not the other way.

Want to go further and fully reconsider your data strategy?
We can help there too. We'll analyse your capability across people, processes and systems to provide strategic recommendations to capture value from data. This then feeds into the roadmap and design of your data platform.
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Time to reimagine your data platform?
Starting from the first principles of your requirements and use cases rather than the limits of the status quo, we design and deploy Databricks platforms the major cloud platforms, AWS, Azure and Google Cloud. We also bring a strong pedigree in cloud engineering & DevOps to ensure that your Databricks platform is underpinned by an enterprise grade environment that is secure, resilient and optimised.

You get a modern, unified data platform and architecture that translates the data you collect and store into outcomes for your business.

Have an idea to achieve something with your data? Have a data-problem to be solved?

We flesh those into well-defined use cases and then make them happen on Databricks. They can involve any combination of data engineering, analytics, business intelligence, data science and machine learning. Or leave the technical specifics to us and keep your focus on the business outcomes.

If your needs align with prepackaged accelerators, we get you value-fast. We implement the Databricks Solution Accelerators, which represent some of the most common and high-impact use cases seen on Databricks, while tailoring them to your business. We have Databricks accelerators across verticals including, financial services, healthcare, retail and consumer goods and manufacturing so that you can prove new use-cases fast, like understanding if GenerativeAI will work for you business.

Want to scale beyond proofs-of-concept and local notebooks, and actually get models into production?

We streamline the machine learning lifecycle and tightly integrate it with the rest of your data platform. Focusing on your requirements and use cases, we use Databricks Machine Learning to deliver the scale, tooling and MLOps framework that makes the most sense for your business.

You see returns from machine learning, rather than just its potential.

Already have Databricks, but it's not delivering the value or performance you expect?

We assess your Databricks platform and usage within your business context. Then we go back to first principles and your requirements to recommend and implement ways to reduce consumption, strengthen security and optimise performance, so you get more from your investment.