01
01
Import
Bring in the messy dataset
Start from CSV, Excel, or project files already on your machine. IMD treats the raw file as the work object, not as a demo prompt.
CSV / ExcelLocal workspace
AI data cleaning, not another AI dashboard
To make every dataseteasy to work with.
IMD helps everyone process, clean, and deliver data with ease.
imd://workspace/result-package
Result Package
DID-ready panel dataset
Review state
System found
- Duplicate `(city_id, year)` rows removed
- Treatment labels normalized to binary flags
- Missing policy-year records isolated for review
Output
province_panel_did_ready
Clean table created with source snapshot preserved.
User role
Review and confirm
The system prepares the work. The user approves the result.
How it works
From raw file to reviewed result. In three steps.
One clear path: import the file, prepare the result package, then review and export with the working context intact.
02
02
Prepare
Let AI prepare the result
IMD detects structure, fixes inconsistent values, isolates problems, and prepares analysis-ready tables through the desktop and CLI runtime.
CleaningPanel prep
03
03
Review
Review, confirm, export
The user approves the result before it moves downstream into Stata, R, notebooks, or reporting workflows.
Review trailExport-ready
Features
The complete data preparation system
Everything on this page points back to one job: make messy working files ready for serious analysis without hiding the review process.
Cleaning
Designed for the cleanup before analysis
Missing values, inconsistent categories, duplicate keys, broken date fields, and panel-data prep are first-class workflows.
Workspace
Projects stay organized locally
Files, snapshots, tables, and review states live in a desktop-shaped workspace instead of disappearing into a chat thread.
Review
The system prepares, the user approves
IMD is opinionated about automation, but the final decision remains visible and reviewable.
CLI Runtime
Desktop and CLI share the same system
The app and CLI use the same account, model access, and entitlement layer.
Credits
Usage is tied to clear credit buckets
Free resets daily. Plus and Pro reset by subscription cycle with no rollover.
Local-first
Built for sensitive working files
The product shape keeps the workflow close to the user's machine and makes review explicit.
IMD is not trying to replace Stata, R, Python, notebooks, or reporting tools. It prepares the files those tools depend on.
Product Positioning
IMD sits upstream of serious analysis software
The goal is not to replace Stata, R, notebooks, or reporting tools. The goal is to prepare trustworthy data before those tools become useful.
Local-first
Working files stay organized in a desktop-shaped workspace before results move downstream.
Shared account
The desktop app, CLI, and web account use the same Supabase identity and IMD platform token layer.
Reviewer control
AI can prepare tables and result packages, but the user remains the reviewer before export.
Built for
A desktop path for people who need to trust their data
IMD is shaped for the unglamorous part of analysis work: making source files coherent enough that downstream methods are worth trusting.
Default skills47
Model routes4
Account system1
01
Researchers
Prepare panel, survey, and publication datasets before moving into Stata, R, or Python.
02
Analysts
Turn messy operational files into reviewed tables with source snapshots and export-ready outputs.
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Students and teachers
Make the hidden cleanup work visible so methods, assumptions, and outputs can be reviewed.
Pricing
Start free, upgrade when the workflow becomes routine
Free users get a daily credit bucket. Plus and Pro use monthly credits that reset at the end of each subscription cycle.
Free
$0
5 credits/day
Try IMD with the free model pool. Daily credits clear at reset.
- Daily reset
- No rollover
- Free model access
Recommended
Plus
$19.9/mo
300 credits/month
For regular data cleaning work and recurring analysis preparation.
- Billing-cycle reset
- No daily cap
- Monthly allowance
Pro
$39/mo
800 credits/month
For heavier model use and larger recurring workloads.
- Higher monthly capacity
- Billing-cycle reset
- No rollover
FAQ
Common questions
Do unused credits roll over?
No. Free credits clear daily, and paid credits clear when the subscription cycle renews.
Do paid users also receive the free daily credits?
No. Plus and Pro use their own monthly subscription bucket instead of stacking Free credits.
Is IMD replacing Stata, R, or Tableau?
No. IMD sits upstream and prepares data so those tools can be used with more confidence.