From documents to data, with help from AI
Readquire reads any document, in multiple formats, and extracts structured data. Its assistant builds the model by chatting with you, and Studio tests it against your real documents until you're satisfied.
AI Assistance
Tell it what you need to read and attach a sample. The assistant generates the prompt and schema.
- 0 code
- A new use case is configuration, not development
- 2 metrics
- AI Confidence and Real Accuracy, always side by side
- v3.0
- Every iteration versioned: Draft → Studio → Production
Highlights
From the first document to production
Build the model, test it with numbers and connect it to your systems.
01
AI Assistance
No hand-written prompts or schemas: you describe the case and the agent asks for what's missing.
02
Studio
The model's test bench: see where it gets it right and where it doesn't, with numbers, not hunches.
03
Automations
Input → Model → Output. Documents from Odoo, Google Drive, S3 or API, and data out to webhooks or your ERP.
04
Business rules
Totals that add up and consistent dates: what fails goes to human review, not to your system.
05
Traceability and costs
Every read is traceable and AI cost is measured per tenant from day one.
06
Custom dashboards
Drag & drop widgets for operations and for model refinement.
How it works
A loop until the numbers add up
- 1
Run the read
The model reads every document and groups results with their % AI Confidence.
- 2
Validate
Correct document by document in a PDF + extracted data view. Each correction computes the % Real Accuracy.
- 3
Optimize the prompt
The assistant uses your validations to improve the model, and you run Studio again.
Documents to data
Which documents would you like to stop keying in by hand?
Bring us a real case and we'll test it together in Studio.