Primary sources
We work from original material and direct observation rather than secondhand summaries and hype cycles.
Research
Understanding the shifts that matter.
We study how technology is changing so our work stays grounded in evidence. Research is how we separate durable change from passing noise.
01
Technology trends
We follow how computing, software, and hardware are evolving — which approaches are maturing, which are being abandoned, and where the practical capabilities are heading. The goal is to build on foundations that will still be standing in a decade.
02
AI developments
We track progress in models, methods, and tooling, with attention to what is genuinely useful versus what is overstated. Understanding both the capabilities and the limits keeps our AI systems honest and effective.
03
Energy developments
Computing depends on energy. We study how generation, efficiency, and cost are changing, because the economics and sustainability of energy increasingly shape what is possible to build at scale.
04
Infrastructure developments
We watch how the physical and digital backbone of technology is being built — data centers, networks, and the systems that connect them — to anticipate where capacity, reliability, and opportunity will concentrate.
How we research
Evidence over opinion.
Long horizons
We weigh developments by their lasting impact, not their short-term attention, and revisit our conclusions as evidence changes.
Applied outcomes
Research is not separate from building. What we learn directly informs the systems and infrastructure we design.
Where research meets engineering.
See how our understanding turns into systems and infrastructure that hold up.