Plain English only
From upload to report
Data retained after analysis
Multiple sources, joined in one run
Your data sources are processed entirely on European servers and deleted as soon as your analysis finishes. Names, emails, and phone numbers are automatically masked before any AI model sees them, and we never use your data to train AI models.
No SQL, no analyst needed. We detect relevant relationships in your data and automatically surface the most valuable insights, outliers, and trends.
Every finding links back to the exact result rows it was computed from, in plain English. Before it ships, every number is checked against your data — so nothing reaches your report that can't be reproduced.
Bring your CRM export, your orders, your product catalogue and a live Google Sheet into the same run — gigabyte-scale files welcome. DataDigger works out how they link together and finds what no single file can tell you on its own.
Set a recurring run once. DataDigger pulls from your connected sources automatically and delivers a fresh report to your inbox — so you stay ahead without lifting a finger.
Save discovery runs into folders and build up a structured knowledge base for your team. Every report is searchable, shareable, and always one click away.
01
Connect a live data source like Google Sheets, or drop in raw exports — CSV, JSON, Excel, or Parquet. No formatting or spreadsheet cleanup required.
02
Our engine cross-references your files, identifies relationships, detects anomalies, and runs statistical analysis. Optionally steer it with a plain-English question to get a focused answer alongside the full report.
03
A professional report appears in-app with charts, strategic implications, and cross-dataset findings. Download the PDF and your data is permanently deleted from our systems.
General-purpose chatbots are built for conversation, so big files get truncated, sampled, or rejected outright. DataDigger processes your data with a real analytics engine — gigabyte-scale exports, every row included.
A chat window can summarise one file at a time. DataDigger takes all your sources at once — customers, orders, products, ad spend — links them together, and surfaces the findings that only exist in the connections between them.
An AI that writes a convincing number is not the same as a correct one. Every figure in your report is verified against the data that produced it, and comes with the underlying rows attached — so you can trust it in front of your board.
Most tools just show you rows. We analyse them — dozens of findings per run, each one checked against your data before it reaches the page. Your downloadable PDF report includes:
CRM Customers — profiles — location, acquisition channel, lifecycle segment
12k rowsOrders — order-level transactions — status, channel, discount, currency
29k rowsOrder Items — per-SKU line items — quantity, unit price, line total
92k rowsProduct Catalog — product details — category, unit cost, supplier
800 SKUsMarketing Spend — daily ad spend by channel — spend, impressions, clicks
3.3k rowsWeb Events — site activity — page views and sessions per visitor
536k rows
Google Sheets
Agillic
BigQuery
Salesforce
Airtable
Notion
PostgreSQL
The privacy-first data discovery platform.
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