Brands that understand how the algorithm thinks make better decisions than brands that guess.
We lead with Signal because it helps teams reduce waste, move faster, and improve launch and media decisions by understanding what social algorithms are most likely to surface.
Why now
Teams are making expensive creative and media decisions in feeds they still do not fully understand.
That is why we built Signal. It helps teams read what the algorithm is rewarding now, raise confidence before launch, and avoid spending more budget learning the same lesson too late.
Top hypotheses
Translation queue
US
Ready
UK
QA
GCC
Ready
LATAM
Next
DACH
Next
SEA
Ready
Why we lead with Signal
We built Signal first because the pain is immediate, measurable, and already budgeted for.
Brands already feel the cost of weak discoverability, late decisions, duplicated research, and wasted media. Signal solves that pressure now while building the deeper intelligence graph underneath.
The bigger platform
Signal is the first product in a suite of tools designed to translate cultural intelligence into real business outcomes.
Right now, teams can use Signal to make better creative and growth decisions within days of implementation. Over time, our Cultural Intelligence Graph will power research, segmentation, messaging systems, product development, and broader market intelligence products.
Budget exposure
Price Signal as a fraction of the waste it helps remove.
Without Signal
Reactive spend exposure
With Signal
Sharper decisions before launch