Now is the time to automate

Software automates processes. Data Science automates decisions.

We automate both.

Talk to us and we’ll show you how.

Innovation is the new currency

Traditional product development can no longer keep up with the pace of change. 77% of CEOs worry that innovation skills will impair growth*.

A data science visualisation showing several trees.

Progress is the Management of uncertainty

Winning products are not created by unicorns or visionaries. They are formulated to fulfill a proven need. Evidence of a need is produced from experimental data. So the main challenge is to reduce the cost of experimentation.

How should you build products?

This is how we build products. We believe you should do the same.

The following phases reduce uncertainty by preserving the option to pivot or persevere.


Innovate through learning.

Companies that are quickest to learn will innovate faster. Innovative companies will never stagnate and will prosper in the long-term.

Aim to transfer knowledge, not just deliverables.


Build products and processes to automate an isolated need.

Cloud-native, iterative software development automates the solution for that need.

Use data science to automate decisions.

Introduce extremely short feedback loops to allow rapid progress.


Every improvement will positively affect the baseline and strategic tests are automated.

Progress is continuous and monitored.

Decisions are based upon evidence, not vision.

Automate the testing of strategic goals.

Cloud-Native Data Science

Cloud-Native software is our bread, Data Science is our butter. These two technologies underly of all our work. But what are they?

Cloud Native

A collection of best practices, cloud-native software focuses on improving visibility, repeatability, resiliency and robustness.

By granting the freedom of ownership to engineers, systems and products are better prepared for operational use.

One of the greatest advantages is that it empowers grassroots innovation.

What is Cloud-Native?

Data Science

36% of companies are already using machine learning to improve their products*. Data science offers the opportunity to optimise every part of your business.

At its heart data science is the act of engineering value from data. This is often in the guise of a decision, but it may be more subtle.

For example, we use analytics to provide a strategic-level direction; i.e. build what people need, not what they want. But more often the results of data science become a product in their own right; e.g. recommendations.

What is Data Science?

We turn your data into a competitive advantage

Winder Research operates throughout the research and development lifecycle. We run projects for clients of all sizes that range from innovation, development and support.

A pipeline showing data science research, minimumum viable product development and scaling by cloud native technologies, wrapped by innovation and operational support.

Developing your idea through rapid iterations of lean Minimum Viable Products means we can validate your product assumptions quickly. To ensure long term viability we provide optimal technology choices that match your product strategy.

That’s what we do

This is our philosophy. Now explore our solutions.