Analytics
Metrics you define, on data you own.
Reporting stops being an argument when every number comes from the same model, and that model is one your team wrote.
Define
Your measures, your definitions
Build the metric the way your store counts it, and every dashboard and goal uses that definition.
- Measures over any connected data
- Definitions shared so nobody keeps a private version
- Versioned when a definition changes
Watch
Goals with a number and a window
Assistants can be given a goal. This is where the goal is measured and where the outcome is read back.
- Baseline frozen when work starts
- Progress visible while it runs
- Outcome held against the baseline, not a vibe
Share
Dashboards per role and location
The GM view, the fixed ops view and the marketing view, built on the same numbers and scoped to the right stores.
- Scheduled summaries to inboxes
- Drill from a chart to the underlying rows
- Export whenever somebody wants the raw data
The rest of the platform
What it works with.
Assistant AI
Not a chatbot. An agent with a browser, a code runtime, a memory and a screen you can watch.
Action Center
Approvals, escalations and tasks per team member, so autonomy never means losing the thread.
Routines
Schedules and triggers that put assistants to work without anybody starting them.
Conversations & Identity
Voice, text, email, chat and social, reconciled to a single identity, on a carrier account you own.
Business Data
Records from every system, reconciled and scoped by store, location, department and user group.
Media Generation
Programmatic media flows from your own records, plus a full editor when you want hands on it.
Websites & Apps
Customer-facing sites and the internal tools your team wishes existed, maintained by an agentic coder.

Start here
See it on your store.
A short walkthrough on your own inventory, your own channels, your own numbers. No slide deck.


