How it works

Under the hood.

Retanio turns raw product usage into a model of every user — then into the next best action. Here's the path from signal to growth.

The architecture

Signals in, growth out.

Your data is modeled and abstracted before it ever reaches the engine. What comes back are clear, prioritized actions.

User behavior

User persona

Company profile

→

Abstraction layer

→

Recommendation enginemodels every user

→

Abstraction layer

→

Understand maturity

Get recommendations

Automate delivery

Reach via the agent

Abstraction layers keep your data private — only modeled, abstracted signals reach the engine.

What we model

Behavior, persona, and company profile combine into a single model of the user — the basis for every recommendation.

What they do — actions, frequency, and depth of use.

Who they are — their role, seniority, and intent.

Where they work — size, segment, and stage.

↓

Every signal, combined into a single model of the user — the basis for every recommendation Retanio makes.

Privacy by design. Only modeled, abstracted signals reach the engine — never your raw user data.

Each mode puts this engine to work differently.