Own your intelligence layer
in the agentic era.
iMario turns the customer data you already hold, CRM records, surveys and interviews, into Synthetic Individuals your teams and agents can ask any time. Built on your data. Owned by you.
SalesforceConnected systems and uploaded files merge into one audience of 1,200 Synthetic Individuals: Lapsed premium members. Part of the audience lights up as each merge completes.
Your customer data is rich.
It is also static.
Enterprises have already paid for the truth about their customers. It sits in three systems that never talk to each other, and none of them can take a new question.
Plan, tenure, region, orders. They describe who your customers are. They cannot tell you what those customers would do next.
Every study answers the brief it was written for, then sits in a folder. The follow-up question needs a new study.
Hours of calls and transcripts, read once by the person who ran them, then never again.
Turn the data you already own into people you can ask.
Connect
Connect the systems where your customers already live. Read-only. Nothing leaves your workspace.
Model
Every real record becomes a Synthetic Individual: one person, one profile, their real answers as history.
Ask
Surveys, interviews, focus groups, agents over MCP and API. Same people, next question, any time.
“Price went up, the shipping perk went. I did the math and left.”
Connect once. The audience keeps up.
HubSpot, Salesforce, Qualtrics, Zoom, and anything your team and agents run on. Read-only, joined to the same people by customer ID.
Two audiences. Two questions nobody could ask before.
Which win-back offer brings lapsed members back?
Three offers tested in one afternoon. A cheaper tier read 2.4× the reply intent of a discount. The tier shipped; the discount never ran.
“I let it lapse when the shipping perk went. Nothing else in premium mattered to me.”
What would have changed a closed-lost decision?
Pricing-page and onboarding objections surfaced by segment. A sales-assist agent now asks the audience over MCP before every proposal goes out.
“The number on the pricing page was fine. Nobody could tell me what onboarding would cost us in weeks.”
A prompted persona plays a character from its training data. A synthetic audience is modelled from your records: each individual is built from one real person’s transcripts, survey answers and CRM data, keeps them as its history, and can be audited against them.
