Inside Adaptyx Signal.
A full product page is in the works. In the meantime, here's what Adaptyx Signal does today, in broad strokes — currently beta · invite only. Book a walkthrough for the full tour.
Cycle analysis for geo-economic regimes
ECM π-cycle engine plus a cliodynamic model aggregate economic, geopolitical, social, and capital signals into regime attractors. Signal surfaces where the system is now, where it's drifting, and what historical analogs look most like the current configuration.
Atmospheric anomalies, in real time
A unified signal pipeline aggregates NOAA NWS/GFS, NEXRAD radar, USGS seismic, NOAA space-weather, NDBC buoys, and Open-Meteo into one TimescaleDB — with anomaly detection that knows the difference between a weird hour and a regime shift.
Adaptive trading meta-model
Every closed trade is a labeled training example. A meta-model learns: given this signal, in this regime, for this ticker — what's the probability of a win today? It retrains every night, drift-flags decay automatically, and a learning ledger makes today's beliefs legible to a human.
Cross-domain coincidence detector
The reasoning layer correlates signals across atmospheric, geo-economic, market, and your own warehouse data — and surfaces episodes of coincident salience with an LLM-written hypothesis. Probabilistic forecasts, anomaly graphs, and scenario explorers attach to every domain.
Book a walkthrough of Adaptyx Signal.
Every Adaptyx demo is co-led by the engineers who built the product and the operator who shaped it. Tell us what you're trying to solve, and we'll route you to the right team.