Read the signal the customer is sending.
Behaviour, context and declared intent — with the moment and the channel — are read as raw signal, before anything is decided.
Behavior, context and intent compress into a single dimensional fingerprint — stable enough to act on, rich enough to explain. One identity that every engine can read in the same language.
Behaviour, context and declared intent — with the moment and the channel — are read as raw signal, before anything is decided.
Signals from behavior, context and intent collapse into one dimensional identity — not a segment, not a guess. The fingerprint is stable across sessions and surfaces.
Every item in the catalogue carries its own fingerprint. Specicon matches person to product across the full space, not just the items someone already saw.
No black box. Each decision arrives with the factors that drove it, in plain language a merchandiser or a customer can actually read and trust.
Web, app, email, support — the same answer, in 18 milliseconds. Every outcome feeds back, so the next decision is sharper.
One guesses from the catalogue. The other reads the customer, then proves its reasoning.
One intelligence core, many surfaces. Each engine owns a slice of the decision — identity, matching, ranking, explanation — and composes into a single answer your team can stand behind.
Plus four more — pricing, lifecycle, search and feedback.
See all enginesA decision layer, not another AI widget. Call the same core from anywhere — and keep one source of truth for every recommendation a customer ever sees.
Specicon pairs the core with AI experts who scope, tune and stand up your first decision — so adoption starts with one real problem, not a year-long transformation deck.
A clear path from one scoped decision to measurable revenue: integrate the API, prove the lift against a control, and monitor every match in production.
Pick one journey where a better choice clearly moves revenue.
Connect catalogue and behaviour; we build the User Barcode™ and Product DNA.
Drop one endpoint — REST, SDK or a widget — into the stack you already run.
Ship to a cohort and compare against a holdout control to prove the lift.
Watch matches, confidence and lift in production — and tune live.
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The best first conversation is scoped around a single use case — not vague transformation goals. We'll reply with the engines involved, the surfaces it touches, and a realistic timeline.