The platform

Four capabilities. Predict. Understand. Act. Simulate. — end to end.

Real-time friction detection, per-user prediction scores, synthetic user testing, and self-hosted deployment. One cohesive product — not a stack of disconnected tools.

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Four pillars

Predict. Understand. Act. Simulate.

The whole platform organized around the loop that actually moves metrics — not the loop that fills dashboards.

Predict

Models that see around corners

Most analytics shows you a rear-view mirror. Moveo One runs continuous ML on every signal you stream — engagement velocity, hesitation, attention drop, journey similarity to past converters — and outputs a per-user probability for every outcome you care about. Activation, conversion, churn, expansion. Live, not batched.

  • Per-session prediction scores updated in real time
  • Outcome models trained on your own data, not generic benchmarks
  • Confidence intervals so you know when to act vs. observe

Understand

Behavior, explained

When a model says 'this user will churn,' you need to know why. Moveo One cross-references behavioral patterns with cognitive load, attention signals, and journey context — surfacing the root cause in plain language. No more dashboard archaeology.

  • Friction explanations rooted in cognitive science, not vibes
  • Compare failed vs. successful paths automatically
  • Identify overload screens before they cost you the user

Act

Intervene while it still matters

Predictions are only valuable if you can act on them. Stream scores into your stack via API or webhook, route at-risk users to onboarding nudges, sales outreach, or in-app prompts — automatically. Stop reporting on churn. Start preventing it.

  • Webhooks fire when a user crosses a risk threshold
  • Native integrations with Slack, HubSpot, Customer.io and more
  • Trigger experiments via your existing flagging tools

Simulate

Synthetic users that behave like your real users

Test flows before a single real user touches them. Moveo One builds synthetic users modeled on the behavioral patterns of your actual cohorts — hesitation, attention drift, drop-off tendencies and all. The impact of any change, measured before you ship it.

  • Synthetic cohorts derived from your own behavioral data
  • Run sign-up, onboarding and checkout flows pre-release
  • Compare design variants and predict drop-off before shipping
REALSYNTHETIC

Capabilities

Everything in the box

Thirteen capabilities, one cohesive product — built so the predictive layer feels native to how your team already works.

01 · Prediction

Behavioral prediction models

ML models that score every user, every session — will they convert, churn, or activate? Predictions update in real time.

02 · Prediction

Real-time friction detection

Catch hesitation, decision fatigue, and confusion the moment it happens — not in next week's retrospective.

03 · Integration

Zero-tagging instrumentation

Connect datasource or drop in the SDK. Events, flows, and screens are auto-detected. No taxonomy meetings, no broken pipelines.

04 · Analytics

Automatic journey mapping

Every path users take — visualized. See which flows lead to conversion, which dead-end, and why.

05 · Analytics

Cognitive load scoring

Proprietary signals that flag screens overloading users — before they bounce or rage-tap.

06 · Workflow

AYDA — ask your data anything

Natural-language questions, immediate answers. 'Why did Tuesday's signups stall?' — done.

07 · Analytics

Predictive cohorts

Build segments by future behavior, not past clicks. 'Users likely to churn this week' is a real cohort.

08 · Integration

Predictions API & webhooks

Stream prediction scores into your stack — trigger emails, in-app prompts, or sales outreach when it matters.

09 · Integration

One SDK, every platform

Web, iOS, Android, React Native, Flutter. Identical signals across surfaces — derive consistent conclusions.

10 · Prediction

Synthetic user testing

Simulate users on a flow before launch. Predict UX outcomes pre-release, not after the bad reviews.

11 · Workflow

Unlimited team workspaces

Bring product, design, growth, and engineering into the same view. No seat tax, no role gating.

12 · Integration

MCP server for your AI assistant

Connect Claude, Cursor, or any MCP client to your workspace. It installs the SDK in your repo, checks events are arriving, answers questions about your data, and runs simulations — from your editor.

13 · Integration

Self-hosted option

Keep behavioral data inside your own cloud. Full feature parity, your perimeter, your rules.

Model Context Protocol

Your AI assistant can drive Moveo One.

Moveo One ships an MCP server. Point Claude, Claude Code, Cursor, or any MCP client at your workspace and it works inside the product on your behalf — no dashboard round-trip.

  • Installs the SDK in your codebase and tells you what to change
  • Verifies events are actually arriving before you ship
  • Answers questions about your analytics and dashboards in plain language
  • Builds cohorts and runs Quantum simulations from your editor

Connect it

$ uvx moveo-one-mcp login

Opens your browser, you approve the connection, and your assistant is talking to your workspace. Personal API tokens are available for headless clients like n8n or CI.

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Ten minutes from "Hello" to your first prediction.

No data team required. No tagging marathon. No premium-only feature wall.

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