Methodology
Actuneuriat turns a high-volume technology feed into a small number of evidence-led business signals.
Signal selection
Potential stories are assessed for source quality, novelty, business impact, global relevance and fit with one of our twelve intelligence domains.
Impact framework
Published work states the nature of the signal, an adoption horizon and our confidence in the available evidence. These labels are editorial tools rather than investment ratings.
Research products
Reports explain their inclusion criteria, source dates and known limitations. We revise a research product when its underlying evidence materially changes rather than changing dates for superficial freshness.
Entity architecture
Stories are connected to technologies, companies, industries and regions. This lets readers follow a topic without creating thin automated pages for every possible tag.