Our Signals Engine converts pages into high-dimensional vectors and matches them to persona vectors in embedding space. Campaign data continuously refines the model. No cookies. No tracking. Just mathematics.
Forget keywords. Forget Categories. We convert the entire page into a vector—a numerical representation of its meaning. Your personas are vectors too. When they're close in embedding space, that's a match.
You define who you want to reach together with our MatchPersona™. We convert that definition into a persona vector in embedding space.
We find where those personas appear—pages whose vectors are closest to your persona vectors.
Every impression evaluated fresh. Vectors never lie.
Enter any publisher URL and watch our engine vectorize the content and match it to personas in real time.
Reuters, Guardian, NZZ
In-depth features and analysis
Industry publications and trade media
High-intent informational content
Same topic, different vectors = different matches. Context matters.
We vectorize content, not people. The math works without tracking anyone.
No first or third-party cookies required
No device fingerprinting or identifiers
Each impression is independent
Context is everything, history is nothing
Vectors are computed from page content at ad load time. No user state required.
No black boxes. Every match has a vector distance. Every campaign makes the next one better.
See vector similarity scores and why each impression qualifies
Every campaign makes the next one smarter
Adjust personas, not black-box parameters
Vector match breakdowns in every campaign report
MatchPersona™ = persona vectors
Signals Engine = content vectors + matching
Campaign Data = continuous refinement
C Wire signals read the page the way a real reader does.