Technological change
We collect ultra fine-grained data on technological evolution in real time. We track the software development ecosystem and activities on the internet consistently to identify emerging technologies, methods and capabilities before they become visible in official statistics.
Technological change rarely arrives as a clean category. It starts as scattered activity: developers testing new tools, communities forming around methods, search interest rising, organisations rewriting their public language and new domains appearing around emerging use cases.
We organise these signals into a dynamic technology space. This shows not only which capabilities are growing, but how they relate to each other: which fields share methods, which technologies are becoming complements and where a new cluster begins to separate from the background noise.
For organisations, this changes the timing of strategic decisions. Instead of reacting once a technology is already established, they can see momentum, technological adjacency and adoption earlier. That is where leverage points become visible: in the small window between experimentation and adoption.
