Polydesk
Flexible datasets. Safe schema changes. Built-in audit trail.
Ship structured data fast — manage it easily.

Turn messy spreadsheets into a reliable data workspace.

Polydesk lets teams create and evolve data schemas safely with drafts and publishing. Import spreadsheets or build from scratch, and keep track of changes over time.

Import
CSV → Dataset in minutes
Preview, infer types, edit schema, commit.
Evolve
Drafts & publishing
Change fields safely. Publish when you and your data are ready.
Trust
Audit trail
See who changed what, and when.
CSV Import Preview
Configure schema before creation
Schema
Key Type Required Unique
invoice_id string true true
customer string false false
amount float true false
paid boolean false false
Data preview
invoice_id customer amount paid
INV-10021 Acme 1280.50 false
INV-10022 Northwind 315.00 true
INV-10023 Acme 89.99 false
4 fields • 3 preview rows
Create dataset and import
Audit trail
Schema updates and key events are recorded with consistent, human-readable change summaries.

Why Polydesk?

Spreadsheets are easy to start and hard to govern. Polydesk keeps the flexibility, adds structure, and makes changes safe.

Draft schema changes

Edit fields freely in a draft. Publish when you're ready. Schema evolution is explicit and reviewable.

Typed fields and constraints

Types and constraints give you enough structure to trust the data without slowing you down.

Audit trail by default

Track key events about your data and schema.

Rules and tasks

Polydesk is not just a place to store data. It can drive work. Rules let you react to data changes and create tasks for the right people — without building a custom app.

Trigger on data events

Create lightweight rules for when a row is created, updated, or deleted.

Examples: “New repair order created”, “Invoice marked unpaid”, “Work order closed”.
Assign tasks to people

A rule can notify a user, request a form submission, or send something for review.

Tasks live in a simple inbox, so work does not get lost in email threads.
Close the loop

For form requests, users can submit the requested record directly from the task and it completes automatically.

This turns your dataset into a lightweight operational system, not just a table.
Inbox
Tasks created from rules
Form request
Submit repair order details
Dataset: repair_orders • Requested by Ops rule
open
Quick form
customer_id
C1042
service
Line repair
notes
Replace damaged connector at pole 17B.
Submitting completes the task automatically.
Submit
Notification
Invoice marked unpaid
Dataset: invoices • Trigger: row_updated
open
Customer Acme has an invoice past due. Follow up to confirm payment status.
Mark read to clear it from your inbox.
Mark read
Why this matters
  • Capture operational work without building a custom app
  • Create accountability with assigned tasks
  • Keep data entry structured and auditable

AI assistant and analysis

Polydesk's assistant is designed for the next step after importing data: asking questions, spotting issues, and generating useful outputs. The assistant works on top of your data structure, not against it.

Ask questions in plain language

“What changed this week?” “Which customers have overdue invoices?” “Show outliers in temperature readings.”

Automated checks and anomaly detection

Flag missing required values, unexpected spikes, duplicates, and schema violations before they become problems.

Generate summaries and reports

Produce clean summaries, suggested next actions, and export-ready tables without manual spreadsheet work.

Assistant
Analysis on top of your dataset
You
Which invoices over $500 are unpaid, and who are the top 3 customers by outstanding balance?
Polydesk
Found 18 unpaid invoices over $500. Top customers by outstanding balance:
Customer Outstanding Invoices
Acme $12,480 7
Northwind $8,050 5
Globex $6,910 3
You can export this result, save it as a report, or turn it into a recurring check.
Suggested checks
  • Unpaid invoices older than 30 days
  • Duplicate invoice IDs
  • Invoices missing customer names
© 2026 Polydesk. Built to keep operational data sane.