Turn your users into agents. Simulate them at scale.
Dipio runs AI-led, in-depth interviews with your customers. Each conversation becomes a living model of how they think, decide, and behave — one that sharpens every time they come back.
— The problem
You have data. You don't have answers.
Analytics tells you what happened. Surveys tell you what people say. Neither explains the decision logic underneath — why users churn, what makes them convert, or what they'll do next.
“Every product bet is still a guess.”
— The platform
Three products. One compounding intelligence.
Dipio is a platform, not a tool. Each product stands on its own — and gets sharper the moment it's composed with the others. Start with what you need. Grow into the whole thing.
01
AI-Led Interviews
Autonomous, adaptive, in-depth.
Dipio conducts live interviews with your users — no researcher in the room. Each conversation adapts in real time, probing the real decision logic: what users weighed, what made them hesitate, what pushed them over the line. What used to take weeks now takes hours.
Up to $1M saved across Dipio's customers
02
Insights Studio
McKinsey-grade synthesis, in seconds.
Your interview data becomes an interactive workspace — not a pile of transcripts. Drill into any segment, compare cohorts, and trace every finding back to the exact quote it came from. Dipio surfaces the psychology, motivations, and friction points behind every decision — organised into the customer segments your team can act on.
20% average ARR lift across Dipio's customers
03
Synthetic Twin Agents
Your users, always on.
We turn your users into simulatable agents that think and respond the way your customers do — powered by the same behavioural model as Insights Studio. Your whole company can ask them anything: test a price, pressure-test a message, walk a concept through their decision process. Or let them run through a new feature and get a full report on what helped, what broke, and what confused them — without recruiting a single (human) participant.
r = .81–.91 correlation with real humans
Underneath every product
Our proprietary behavioural model.
Every product above runs on the same model — trained on how real people actually think and decide, drawn from the decision research we run ourselves.
Sharp out of the box — because it was trained on the right thing from the start.
— How it works
From interview to insight to simulation — in three steps.
You configure your agent, recruit your users, and Dipio handles the rest.
01
Set up and go live
Configure your interview agent in under 2 min. Recruit your users through your usual channels — email, push, in-app, etc. From there, Dipio runs every conversation autonomously, adapting in real time to uncover the real decision logic behind what your users do.
02
Explore the findings
Open Insights Studio. Understand what drives users to convert, what nearly stopped them, and what would make them leave. Compare how different segments decide, map the motivations behind every behaviour, and trace every finding back to the exact quote it came from.
03
Interact with your users' replicas —
synthetic twin agents
Your users become simulatable agents you can talk to. Test a price, validate a feature, pressure-test a concept — like talking to your customers, whenever you need to.
— Impact
The numbers speak for themselves.
Across a complete research workflow — from in-depth interviews to synthesised insights — Dipio collapses weeks of researcher time into hours and eliminates the bulk of associated costs.
98%
Reduction in researcher time per study
$73K
Cost saved on a 100-interview study
20%
Average ARR lift across Dipio's customers
Savings calculator
Drag to model your own study size.
Traditional
109h 48m
researcher time
With Dipio
1h 35m
total time
Cost saved
$32,475
per study
— Research
A trustworthy exploration of what's next.
Dipio is built on research we publish openly — on PsyArXiv, with our methods in the open for anyone to read and scrutinise. Not marketing claims. Actual studies.
Paper I · Preprint
Can AI represent the way real people think and decide?
We ran a study comparing Dipio's Synthetic Twin Agents against real human responses — across three products and four leading AI models. The agents matched real humans closely enough to act as a reliable stand-in for them. In plain terms: when you ask the agents a question, you get answers that closely mirror what your actual users would say.
r = .81 – .91
Correlation between Synthetic Twin Agents and real human responses, across 3 products and 4 foundation models.
Paper II · In progress
From matching outputs to matching minds.
Our next paper goes a layer deeper. Today's synthetic agents can match what people say. The next generation needs to match how people think — the psychological building blocks of human decision-making: traits, values, heuristics, biases.
We're developing a new method to make synthetic twin agents reason from the same psychological foundations as the real humans they represent — not just mimic their outputs. More on this soon.
— In practice
Simulate before you ship.
Four things product and growth teams are doing with Dipio today.
Ask your customers anything
Query your synthetic audience at any time. No recruitment, no waiting, no moderator bias.
Run experiments before you ship
Test pricing, positioning, or product changes through your users' decision process — before committing a dollar to execution.
Diagnose churn and drop-off
Find the exact moment users disengage — and the one thing that would have kept them.
Compound over time
Every study sharpens the model. The intelligence layer grows with your business, not against it.
— Who we are
Scientists, engineers, and builders.
We are scientists, engineers, and builders with backgrounds in behavioural science and machine psychology, trained at leading institutions including the London School of Economics and the University of Cambridge. Our ongoing research on human–AI alignment at the LSE Department of Psychological and Behavioural Science is the foundation Dipio is built on.
— Get started
Ready to see how your users actually think?
We're inviting a small number of product and growth teams to experience Dipio firsthand — before we launch. If that's you, we'd love to talk.