Acquire with purpose.
Research permitted web sources or prepare granted local files. Define the question, fields and boundaries before work begins.
From question to evidence
Verify before accepting.
Combine AI-assisted interpretation with deterministic schema checks, identity rules and evidence verification.
Trace every output.
Export structured records with source references, lineage and saved state, so results can be reviewed and revisited.
Verboisy 1.0.0 available ↗Python 3.11-3.14
Two ways to integrateCLI + Python API
Distinct data workflowsLocal + web
About us
Data you can put to work.
Verboisy turns research questions and existing files into structured, evidence-backed datasets. For analysts, researchers and developers, it makes careful data work easier to repeat, inspect and share.
The work behind an answer, brought together.
A plain LLM is useful for interpretation and drafting. Verboisy brings that reasoning into a complete data workflow: permitted sources, explicit data contracts, deterministic checks and recoverable execution. Its value is usable data with a trail you can inspect.
Source evidence
A plain LLM conversation
You must collect and retain the supporting material.
Verboisy
Accepted records retain source references and observed evidence.
Consistent structure
A plain LLM conversation
Field types, missing values and identity need separate checks.
Verboisy
Schema validation and explicit identity rules are part of the workflow.
Repeatable work
A plain LLM conversation
Run state, recovery and export history need separate tooling.
Verboisy
Saved state and checkpoints let you inspect progress and resume deliberately.
Local data
A plain LLM conversation
Parsing and validation require code or model processing.
Verboisy
Deterministic preparation can run without model, search or browser calls.
Verboisy is valuable wherever data must be reviewed, reused or handed to someone else. Evidence checks support your judgment; source quality and human review still matter.
Emanuele TorrisiCreator & developerVerboisyExplore the workflows →
Learn
From your first command to useful data.
Install, prepare, run and review. Choose a workflow, then select a command or option to see what it does.
Python 3.11-3.14Installation guide ↗
Documentation
The details, when you need them.
Eight practical guides, from installation to portable evidence. Each opens the maintained documentation on GitHub.
Documentation maintained with the sourceView repository ↗
Community
Good questions make better software.
Share a reproducible issue, explain what your workflow needs or get in touch about a possible collaboration.
Bugs and feature requests
Describe the behaviour you expected, what happened and how to reproduce it. Remove credentials and private source material before posting.
Security concerns
Report sensitive findings privately through the security policy. Please keep exploit details out of public issues.
Thoughtful collaboration
Unsolicited code contributions are not currently accepted. Discuss scope, compensation and intellectual-property terms before beginning collaborative work.
VerboisyGet in touch ↗
Releases
A clear record of what changes.
The repository changelog records product versions and engineering changes. Consult the source for release status, supported environments and qualification evidence.
1.0.0Available now
Research, preparation and portable evidence.
Explicit provider profiles and source permissions for web research and declared data inputs.
Structured validation, observed evidence checks and traceable output transformations.
Persistent research state and a separate streaming ledger for large local datasets.
Command-line tools, synchronous and asynchronous Python APIs, and portable evidence readers.
Unreleased changes are listed separately.Follow the changelog for newer releases and changes still in development. Release evidence records the supported workflows and environments.
Overview reviewed · 27 October 2026License
License
Visible source. Clear permissions.
Verboisy is proprietary, source-visible software. The public repository permits source inspection under its licence; it does not grant general rights to run or use the software.
Read and understand the design.
Inspect the source for private, informational assessment within the terms of the Verboisy Source Inspection License 2.0.
Agree on the rights you need.
Running, testing, modifying, integrating or deploying Verboisy requires a separate written agreement. Discuss the workflow, users and environment first.
The full licence sets out the terms.This page is a short introduction. Refer to the repository licence and any signed agreement for the applicable permissions and conditions.
© 2026 Emanuele TorrisiCommercial scope ↗
Contact
Tell us what you are working on.
For a demonstration, an evaluation licence or a conversation about your data workflow, write a few lines about the sources, output and environment you have in mind.
A direct conversation
Connect with Emanuele Torrisi for project questions and professional enquiries.
Emanuele Torrisi · LinkedInA technical question
For reproducible bugs and feature requests, GitHub Issues keeps the context with the project.
GitHub IssuesThis website has no tracking scripts or contact-form database. Your language preference is saved in this browser. Email and external links open the service you choose.
Verboisy · verboisy.comBack to home ↑