How might we design an asynchronous, on-demand rehabilitation pathway that meets shifting consumer preferences and delivers equivalent clinical outcomes to sync…
Most current AI tools rely on large, cloud-hosted language models. This creates a structural dependency: export restrictions, geopolitical disruptions, or simpl…
Some of the most costly defects in software systems never show up in standard test runs. They surface only under specific, hard-to-replicate conditions — an uns…
Maintenance work is often documented poorly or not at all — technicians are focused on the task, not on writing it up afterwards, and structured documentation i…
Maintenance work on complex industrial equipment depends heavily on technicians knowing which component sits where, and which one to remove first. That knowledg…
As agentic AI absorbs more of the routine coding work, the developer's role shifts: less time writing code, more time understanding what the code should achieve…
Software testing has traditionally been a discrete phase — something that happens after code is written, often under time pressure, often incompletely. AI-assis…
Background Industrial predictive maintenance systems depend on machine learning models that learn what "normal" looks like for a specific engine. The problem is…
Background Industrial AI systems have become effective at detecting anomalies in machine behaviour, but they have a trust problem: when an alert fires, the syst…
Background Field service interventions on industrial equipment are planned weeks in advance using rich structured data: equipment configuration, service history…
Background Spare parts logistics for industrial equipment is a guessing game with expensive consequences on both ends. Under-stock a critical part at a remote p…
Background When industrial equipment misbehaves, customers today face an uncomfortable choice: call a field service engineer, or muddle through on their own. Ca…
Background Industrial equipment manufacturers depend on original parts being used in service and maintenance. Non-OEM substitutes find their way into machines t…
Background Hybrid-powered vessels carry both conventional engines and battery systems, and the decisions about how to use each energy source during a voyage hav…
In complex, long-term B2B relationships, account specialists who know a customer well can interpret vague or technically imprecise requests and translate them i…
Companies that serve the same customers or operate in the same projects often hold complementary operational data that, combined, would unlock valuable cross-co…
Background Large organisations make decisions constantly, but rarely see their consequences clearly. A choice made in sales affects operations; a change in R&am…
Background A large proportion of industrial equipment currently in operation was designed and built before connectivity, sensors, and on-device computing were s…
Background Electric aviation is not simply conventional flying with a different fuel source. The operational characteristics of electric aircraft — shorter rang…
Electric aircraft replace refuelling with charging or battery swapping, and this single change cascades through every part of ground handling. Ramp crews today…
How might we design the onboarding and ongoing consent experience of a personal AI agent so that users genuinely understand the privacy-utility tradeoff — and m…
