The science of seeing it first.
Our AI reads 300,000 verified early adopters in real time and turns their weak signals into named, dated forecasts. Then we prove every call.
Every trend starts with the same 16% of people.
A small group moves first. Innovators, then early adopters. They act before the majority and they leave a trail in public. We measure that trail. The mainstream is where a trend ends, not where you find it.
From early adopter to forecast.
Four stages, one proprietary pipeline. Millions of public posts in. One dated, defensible trend out.
We crawl public posts across YouTube, X, Instagram, Reddit, TikTok, Tumblr, Spotify, and Behance to find industry-specific early adopters.
A prediction score prioritizes profiles that have been right early before. We filter spam, follower inflation, and thin histories, then re-score every quarter.
The model is unsupervised and bottom-up. Patterns emerge from the data instead of a preset hypothesis, surfacing trends a top-down search would miss.
AI projects the short and medium term. Human experts shape the long term. The output is a named, dated, classified trend.
Two tests. One on our own record. One against the open market.
Benchmarking is the practice, not a footnote. We check the AI against what it predicted, and we check the prediction against the day the world caught up.
Our six-month forecasts, scored against what our own data later confirmed. An internal check that the signal holds up before we publish it.
Average lead across our confirmed predictions, each measured against the day its trend peaked on Google Trends. Several times the lead of standard AI forecasting.
No one else benchmarks foresight this openly. We run it as an ongoing practice and publish comparisons across categories. We hold ourselves to a standard the industry never had, and we are raising it for everyone.
The model finds the signal. People give it meaning.
On the short and medium term, the AI leads. It projects probable directions from the data. On the long term, our analysts take over, turning a range of possible futures into scenarios a strategy team can use. Two intelligences, aimed at the same target: less uncertainty.
Built on public signals. Compliant by design.
We analyze publicly accessible social content. We never use or sell private personal data.
Data sits on secure EU servers, encrypted in transit and at rest, under SOC 2, GDPR, and ISO/IEC standards.
Data is anonymized or pseudonymized, retained only as needed, and deleted on request.