Navigate the new.
Accelerate your results.
What we do
We provide the capability and the people so you can
transform at speed and scale.
We design and build custom software and hardware solutions that use emerging technology to solve difficult business problems and get new ideas to market. We provide the capability and the people so you can transform at speed and scale. Let us help you grow your business, connect with your customers, make informed decisions and streamline your operations. Find out why our clients choose us again and again.
Our capabilities
Using a combination of technology, process and people we work with you to break problems down, test assumptions and move forward rapidly. We can develop the strategy, design and build, or help you scale and uplift capabilities in the above ways.
Our work
20 years, 1152 projects, 274 happy clients
We put innovation at the heart of how we help our clients create business impact. Here are just some examples.
News and events
Read the latest thinking from the team
Explore how to harness the best of traditional machine learning by generating synthetic data with LLMs for training compact, efficient ML models. To illustrate this, I ran an experiment using GPT-4o to generate synthetic data for three text classification tasks: spam detection, product classification, and sentiment analysis. I’ve also set out some recommendations for anyone looking to leverage synthetic data generated by LLMs for training efficient ML models.
Recently, DiUS encountered a flurry of questions about multilingual chatbots from two clients in different industries. A healthcare provider needed to communicate with diverse, non-English speaking patients, while a travel company sought to enhance experiences for non-English speaking visitors. Both scenarios highlighted a common need: breaking down language barriers to improve user experience. Multilingual chatbots powered by generative AI offer a promising solution for seamless global communication.
Get data ready: Data readiness isn’t merely about having a vast amount of data; it’s about having the right data, properly prepared and processed. In the journey towards successful ML implementation, the way data is managed from collection to analysis plays a pivotal role. Here’s a detailed look at each aspect of data readiness.
Our clients
We work with
We are known for being easy to work with, collaborative and pragmatic, and most important, uplifting the teams that we work alongside.
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Always be growing
“DiUS has the perfect balance where I learn every day and at the same time know I can get help if needed.”
Grace Wu
Senior Consultant
