A high-level look at what's moving in digital.
We pair what we're seeing on real client projects with the wider data to document the trends worth a closer look — across data engineering, AI, custom software and digital strategy.

Don’t Cheat: Proper Splitting and Avoiding Data Leakage
We have now arrived at the most dangerous phase of the data preparation pipeline.
Read more
Alchemy for ML: Turning Raw Data into Signal
If data cleaning is the science of ML preparation, Feature Engineering is the art.
Read more
The Great Cleanup: Handling Missing Values, Duplicates, and Errors
Welcome to the unglamorous reality of Machine Learning. While Data Scientists love to talk about algorithms, they spend the vast majority of their time here, in the “Janitor Work” phase.
Read more
Sherlock Holmes Mode: Getting to Know Your Data
In Part 2, we discussed the importance of labelling your data to create a ground truth. Now that we have our dataset, the temptation is to immediately start “fixing” it.
Read more
The Ground Truth: Strategies for High-Quality Data Labeling
In Part 1, we discussed why data preparation is the bedrock of Machine Learning. Now, we enter the most critical phase of that preparation: Creating the Ground Truth.
Read more
Garbage In, Garbage Out: Why Data Prep is the Real Work of Machine Learning
There is a romanticised version of Machine Learning (ML) that exists in movies and marketing pitch decks. In this version, the hard work is the “AI” itself, complex neural networks, cutting-edge algorithms, and futuristic code.
Read more
10 Tech Predictions for 2026: The Year of the "Agentic" Enterprise Author
2025 was a year of friction for the entire tech industry. We saw the “AI Boom” collide with the reality of legacy infrastructure, creating a gap between expectation and delivery.
Read more
Why 17th-Century Secretary Script Is So Difficult
Some projects are technical. Some are operational. And every now and then, one is quietly profound.
Read more
When Data Becomes Art
How We See the World: London has a new landmark, and for once it’s not another glazed tower, street installation or temporary sculpture that people take selfies with for a week and forget.
Read moreHave an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.