New: Intake — from document to verified data, with evidence
BiVelio
The operating layer
for your business
Governed AI infrastructure

Turn business documents into reliable AI-ready data, without exposing sensitive information or wasting tokens.

BiVelio extracts and validates the data in every document, protects sensitive information before every model interaction, and optimizes processing costs. Use each layer on its own, or run the complete flow with Studio.

Field-level evidence · Human review · Full traceability

workflow · supplier-invoicesDone
A document comes in Invoice_2026.pdf
Analyze PDF · Intake
SupplierACME, S.L.99%
Total amount€12,450.0098%
VAT21%97%
Due date30 Sep 2026needs review
Deterministic validations3 validated
Human review and case1 to reviewData ready

Every value arrives with provenance, a confidence score and a review path.

Works with your tools
Google WorkspaceMicrosoft 365SlackSalesforceHubSpotNotionStripeShopifyGitHubJiraLinearTrelloAirtableCalendlyZapiern8nMakeTwilioSnowflakeDatabricksOdooHolded

Using AI on business documents is still unnecessarily hard.

They arrive unstructured

A PDF is not yet a piece of data a system can use.

They contain what should not leave

Personal data, credentials and confidential content can end up at external AI providers.

Processing them costs too much

Redundant context, avoidable calls and oversized models inflate the bill.

One architecture, four layers

These are not disconnected utilities: they are the layers needed to turn business information into governed AI operations.

Documents Email Files
Intake
Extraction · Evidence · Review
Reliable business data
Your current systemsSalesforceSnowflakeHubSpotOdooHoldedZapiern8n
Studio
Cases · Workflows · Approvals · Agents
Privacy

Protects every model interaction: sensitive information never leaves uncontrolled.

Savings

Optimizes every model interaction: each call at the lowest cost that still meets quality.

One complete operation, end to end

  1. 1A document comes in.
  2. 2Intake extracts the fields and links every value to its evidence.
  3. 3Privacy removes or pseudonymizes sensitive information.
  4. 4Savings optimizes the calls that are actually needed.
  5. 5A person reviews only the exceptions.
  6. 6Studio updates the case file and runs the next step.

What this looks like in a real flow:

See the notary case

Deployment and security

  • European SaaS
  • Self-hosted where the module allows it
  • Local or external models per your policy
  • Human gates on critical decisions
  • Decision log and audit trail
  • Retention and deletion policy
  • Tenant isolation

Once the data is reliable, BiVelio runs the operation.

Studio connects documents, cases, policies, approvals and agents in a single governed environment. Repeatable tasks run automatically; critical decisions stay under human control.

BrainWorkersVelioAgentsWorkflowsAutonomy Console

Brain, Workers, Velio, Agents, Workflows and Autonomy Console are internal capabilities of Studio — not six separate products.

Installation points

Pick where to start.

Studio runs in your browser; Savings and Privacy also install as packages in your own stack.

The full platform, in your browser. Nothing to install.

Open Studio

app.bivelio.com

Licensed SDK for Node.js. The license activates from your dashboard.

npm install @bivelio/savings-layer

Self-hosted gateway for your infrastructure; free extension for your browser.

pip install bivelio-privacy-gateway
BiVelio Research

The thinking behind governed autonomy.

How we think about the Brain, the Workers, governed agents and the Autonomy Rate — articles from BiVelio Research.

Agents

Why your RAG fails and the graph recovers double

An agent without context is just a model. Classic vector retrieval treats knowledge as a bag of independent chunks — which is why it fails on the questions that matter most to a company. We walk through the real problems RAG developers hit (with data), why graph structure wins where vectors fall short, how the landscape stacks up (Pinecone, LangChain, LlamaIndex, Neo4j, Microsoft GraphRAG), and how we plan to be the best at the context that actually counts: a company's operation.

BiVelio ResearchJun 27, 2026 8
algorithms

BV-OCR: inside the document-reading engine

BV-OCR is BiVelio's document-reading engine: the in-house stack that feeds the Documents module. It is three coordinated pieces. A deterministic GPU document parser, written in C++ on CUDA and TensorRT, turns every page into verbatim text with coordinates, layout, tables and formulas at hundreds of images per second. A compact vision-language model proposes field-level interpretations on top of that text: which value is the invoice total, which date is the due date. And the value-in-OCR gate requires every proposed value to be anchored to a span of the OCR-recognized text through an evidence locator; anything that cannot be anchored is rejected and routed to human review. This article walks through the three pieces, presents the numbers from our reproducible benchmark harness over public datasets, and explains why this split turns model output into evidenced data.

BiVelio ResearchAug 25, 2026 11
Systems

From documents to governed data: inside the Documents module

Most of a company's operational data is born in documents —invoices, contracts, forms, scanned mail— and dies there, unstructured. BiVelio's Documents module turns those documents into validated, evidenced, actionable data inside the customer's governed operation: ingestion and OCR on BiVelio-controlled infrastructure, field-level extraction where every value carries its provenance and a confidence signal, a human review console for anything doubtful, and governed automation with permissions, an audit trail and human gates on critical steps. This article walks through that pipeline and makes its central case: evidence beats bare confidence scores, because a person can verify in seconds what a percentage can only promise.

BiVelio ResearchAug 24, 2026 8
Systems

40% of agentic AI dies without an Autonomy Rate

The Autonomy Rate is the share of a company's operational work that runs autonomously and within policy: the single KPI of governed autonomy. Unlike automation metrics, it only counts work bounded by permissions, authority thresholds, approvals, audit and rollback. We explain what it measures, how to define it, how it differs from automation coverage or DORA metrics, and how BiVelio turns it into the headline metric of its Autonomy Console.

BiVelio ResearchJul 2, 2026 12
Agents

95% of AI pilots fail: it's not the model

AI agents rarely fail because the model is weak: they fail because they lack operational context, governance and human control points in the real operation. We walk through the five failure modes (context, coordination, governance, verification and value), why they are structural and not a prompt problem, and why the durable solution is an operating model —living memory, governed agents and humans in the loop— and not a smarter prompt.

BiVelio ResearchJul 2, 2026 12
Foundations

AI Workforce OS: not a suite, but an operating model

An AI Workforce OS is an operating model in which a governed digital workforce turns a company's knowledge into autonomous operations — not an all-in-one software package that replaces your tools. We explain the category, the problem it solves and how BiVelio delivers it as a governed autonomous operations layer built on five pillars: Brain, Workers, Agents + Velio, a human-in-the-loop Trust Layer and an Autonomy Rate measured in a single console.

BiVelio ResearchJul 2, 2026 10
Before you start

BiVelio is an AI-governed operational layer: it turns your company's knowledge into autonomous operations under human control. Studio is the complete platform (cases, documents, agents and workflows in a single place). Privacy (BiVelio Shield) keeps sensitive data out of AI models. Savings cuts your LLM bill by choosing the cheapest execution that meets your quality. Privacy and Savings can be used standalone or integrated within Studio.

Ready to see it in action?

By invitation · Setup in minutes