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.
Fore-Site: Computer Vision for Field Operations
Week 4 of the High Digital AI Initiatives Series. This week, we’re moving from the database to the field, exploring applied computer vision
Read more
Hanse: Enterprise LLMs & Data Querying
Week 3 of the High Digital AI Initiatives. Today, we look at how Generative AI is replacing complex SQL queries in the trade data and supply chain analytics sector.
Read more
Beyond Demographics: Using AI for Psychographic Profiling in B2B Lead Generation
Welcome to Week 1 of the High Digital AI Initiatives Series, where we pull back the curtain on the enterprise AI tools we are building to solve complex business bottlenecks.
Read more
The Hidden Risk of AI APIs: When Deleting a Compromised Key Is Not Enough
The Hidden Risk of AI APIs: When Deleting a Compromised Key Is Not Enough
Read more
The AI Illusion: Why Your Industrial Back-Office Isn’t Ready (And How We Fix It)
The AI boom is officially here, and across the manufacturing, energy, and logistics sectors, it presents a massive opportunity to scale exponentially, drive innovation, and enhance operational efficiency.
Read moreFore-Site: THE AI-First HSE Platform Built for the Frontline
Every safety manager knows the frustration of trying to enforce compliance using clunky, outdated software. Frontline crews avoid logging near-misses because the forms
Read more
Why Safety Leaders Are Betting on HSE Tech
The role of the Health, Safety, and Environment (HSE) professional is undergoing a massive shift. For decades, safety management was synonymous with administrative overhead
Read more
The AI Hype Made Us Forget About Quantum (And Why That Is a Dangerous Mistake)
If you spend five minutes on LinkedIn or read any tech publication today, you would think Artificial Intelligence is the only technology that matters. We are entirely consumed by the AI hype cycle.
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 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.