A modern stack resolves the visitor, then decides what to show them. Between those two steps sits the question neither answers: why is this visitor here, right now, and what is this session worth?
Resolves account, credential and consent. Works from what is already known.
InferKNOW. Reads the live session at the edge before downstream systems act. No profile required.
Decides the response. Only as good as the signal it receives.
A known visitor may be researching, comparing, replenishing or ready to buy. The profile doesn't say which. Session context does.
No account, credential or consent means no signal. That describes first-time visitors, many AI-referred visitors, and every autonomous agent.
Nothing reads the moment itself. That's the gap InferKNOW closes.
The same real-time read of context does two jobs: it raises the value of every human session, and it makes autonomous-agent traffic something you can sell to.
Referral, channel, device and in-session behaviour, read continuously and acted on before the page renders. No history required.
Autonomous agents have no identity to resolve and no use for a page built for humans. InferKNOW detects them and responds with structured, negotiable terms.
It runs at the edge, ahead of your origin server. The session is read, understood and answered before the request reaches your stack.
A single script reads channel, device, referral and behavioural signal at the edge, before the request reaches the origin.
The signal becomes a commercial situation: exploring, ready to buy, AI-referred or autonomous agent. No stored profile involved.
Pricing, copy and offers adapt before render for humans. Structured terms go directly to agents. Or the situation passes to your existing stack.
Each session resolves into one of these, and each is worth a different response.
Signals of discovery, not purchase readiness.
An experience suited to the visitor's stage, not a hard sell.
In-session behaviour showing a decision is close.
Precisely timed action without automatically giving away margin.
Intent carried in from an AI assistant's referral.
An experience that continues that conversation instead of starting over.
Machine traffic acting for a customer, with no identity to resolve.
Structured, negotiable terms it can act on directly.
One script proves the commercial impact on a single property. The same layer can sit higher in the enterprise stack, between existing Identity and downstream Marketing and Personalization. Deploy it once, and every experience that depends on that stack inherits it.
A single script, no re-platforming, measured against a holdout group. Prove the impact before expanding.
Nothing is replaced. Existing systems gain the live signal they weren't designed to generate.
Deploy at the right level and extend context across every property that shares the same enterprise stack.
It isn't a feature an incumbent can patch. It's a different layer, in a different place in the stack.
InferKNOW doesn't need a permanent personal profile to understand the current session. It interprets live signals in real time, whether the visitor is human, AI-referred or an agent, and can operate without identity.
What is this session worth, and what can you do about it right now? Live in 48 hours. No re-platforming.