Verilian

Verilian takes a different approach to market research: rather than asking people what they intend to do, it observes what they already say, search, complain about and build workarounds for. Its agents listen across more than 200 sources — long-form video, short-form clips, forums, threads, reviews and queries — spanning creators, platforms, languages and time zones, and do so without sampling. That raw material is then parsed into typed entities and edges so that noise is removed and structure remains.

Those entities are mapped into a living graph of the market. As behaviour shifts, the map shifts with it, letting you see which demand clusters are rising, which are sustained, which are declining, and where new niches are coalescing around a pain point. Clusters carry mention volumes, signal scores, velocity and implied price anchors, and briefs trace back to the individual signals that produced them.

The same demand engine is deployed across six domains: government and civic services, consumer and retail, healthcare, media and creators, venture and holdcos, and financial services. Verilian positions itself in private beta, working with a small set of operators, funds and institutions, and offers the Console, Ontologies and an API as platform components. The company markets its detection layer as the foundation for a future prediction layer that models how demand forms and migrates.