# MINEO - Full reference

> MINEO is the AI Data Platform for your whole team: one governed platform where everyone uses AI. Business teams chat and build their own assistants in Threads with no code; data teams build notebooks, live apps and pipelines - with every model and no vendor lock-in, corporate data protected, cost under control and EU compliance.

This document is a consolidated, curated reference of the MINEO product and website, written for LLM and RAG consumption. For the short index see `/llms.txt`; for the page outline see `/llms-small.txt`; the Spanish version is `/llms-full.es.txt`.

MINEO replaces fragmented Shadow AI with one governed platform. Everyone uses every AI model - OpenAI, Anthropic, Google, Mistral, Meta and open source, via Azure, Bedrock, Vertex or Ollama - with no vendor lock-in. Corporate data never trains third-party models. Governance (permissions, audit logs), cost management (visibility, smart routing, budgets) and native GDPR and EU AI Act compliance are built in. No-code or with code, in production in days.

Main app: https://b.mineo.app - Documentation: https://b.mineo.app/documentation/

## Seats and roles

MINEO is priced by seat. There are three seat types, matched to how each person works:

- **Member** - no-code AI. Uses Threads and creates Assistants over approved data and tools. The seat for business users (sales, finance, legal, operations, support).
- **Builder** - developer. Builds notebooks, live apps and pipelines, and runs cloud dev environments. Each Builder includes cloud compute (~150 CPU-hours/month). The seat for data scientists and engineers.
- **Viewer** - consumer. Views live apps and dashboards and reads shared threads. The seat for stakeholders.

## Plans and pricing

All plan and price logic is computed from a single source of truth; the pricing page has a live calculator. Current seat prices (per seat, per month):

- **Free** - EUR 0. 1 Builder + 3 Viewers. The fastest way to start.
- **Team** - pay per seat, self-serve. Member EUR 21/mo (EUR 16.8/mo billed annually); Builder EUR 65/mo (EUR 52 annual); Viewer EUR 5.5/mo (EUR 4.4 annual). Volume discounts: 10% from 25 seats, 15% from 100, 20% from 250.
- **Enterprise** - custom, with a minimum monthly commitment (from ~EUR 195/mo) and a one-time setup fee (EUR 299). Adds SSO, granular permissions, audit, BYOK (bring your own model keys), multi-cloud and private deployment, and a 99.9% SLA.

AI usage is a separate, flexible monthly budget (an optional add-on from ~EUR 7/user/month) that works as a credit across any model and any assistant - so model spend is decoupled from seats.

Pricing page: https://www.mineo.app/pricing

## Products

Every product runs on one multi-model platform: any model, protected data, EU-compliant, no vendor lock-in.

### Threads

URL: https://www.mineo.app/threads

Chat with any AI model over your data, files, databases and connected tools. MINEO turns questions into answers, visualizations and apps - governed and model-agnostic. Threads is the entry point for business users (Members).

How it works, in three steps: (1) **connect your data** - CSV, databases, APIs, files; (2) **ask a question** in plain language and get instant analysis (SQL is auto-generated, a code interpreter handles the analysis); (3) **get answers and build** - charts, insights, and production-ready apps.

- Ask your data anything - contextual answers grounded in connected sources.
- See answers come alive - interactive charts, tables and visual analysis generated from the conversation.
- From conversation to application - turn any insight into a notebook, dashboard or live app, or launch a dev environment with VS Code.
- Acts through tools via MCP (e.g. create tasks in Salesforce), not just answers.
- No vendor lock-in - use the best model per task (OpenAI, Anthropic, Google and more); the AI budget is a flexible monthly credit usable across any model and assistant.

Typical use cases: sales analysis, customer insights, financial reporting, operations.

### Assistants

URL: https://www.mineo.app/assistants

Build a governed AI assistant per area or process - legal, finance, sales, support. Pick any model, connect your data and tools, and ship it without code. Everything an enterprise assistant needs:

- **Capabilities** - toggle what it can do: charts, web search, code, images.
- **Knowledge** - connect data sources and documents as its knowledge base.
- **Integrations** - plug in external storage and tools (Drive, Slack, GitHub and more).
- **Skills** - add specialized prompts from a catalog of 122 skills.
- **MCP** - connect MCP servers and auto-discover their tools.
- **Deep Research** - autonomously search, cross-check and synthesize many sources into a cited report.
- **Permissions** - control who can access the assistant and with which role.

### Notebooks

URL: https://www.mineo.app/notebooks

More than Jupyter. MINEO Notebooks combine Python, interactive widgets, AI blocks on any model, and one-click Data Apps - collaborative and governed.

- Compose with blocks - mix code, markdown, assistant, widgets and snippets in one notebook.
- Run in an isolated worker - each session gets its own encrypted execution context, kernel state, logs and packages; install packages when needed.
- Version control and real-time collaboration built in.
- Turn notebooks into live Data Apps with data-app-ready layouts and interactive controls - deploy in one click.

Docs: https://b.mineo.app/documentation/docs/notebooks/intro

### Live Apps

URL: https://www.mineo.app/live-apps

Turn notebooks and prompts into interactive dashboards, internal tools and client-facing apps - deployed with permissions and governance built in. Framework-agnostic: run Streamlit, Gradio, Dash, Panel, Shiny and other Python frameworks (9+).

- Build with code or prompts; choose your framework; publish and share.
- Always-on app endpoints - no manual reruns.
- Custom domains, embeds and white-label branding.
- Connected to live data through your data sources.

Use cases: executive dashboards, operational tools, client-facing portals, AI application frontends. Docs: https://b.mineo.app/documentation/docs/live_apps

### Pipelines

URL: https://www.mineo.app/pipelines

Chain notebooks and AI steps into reliable production workflows. Schedule with cron, trigger through a REST API, and govern every run from one platform.

- Notebook-based pipeline graph - reuse notebook logic as ordered stages (extract, transform, validate, load).
- Triggers: cron schedules and REST API (`POST /v1/pipelines/{id}/run`).
- Configurable runtime resources per pipeline; full execution history and traceability.

Use cases: ETL/ELT flows, feature engineering, model training jobs, warehouse syncs, automated reporting, app and dashboard refreshes. Docs: https://b.mineo.app/documentation/docs/pipelines

### Dev Environments

URL: https://www.mineo.app/dev-environments

A full Linux workspace in the browser with VS Code, terminal access and Git workflows - and the freedom to install Codex, Claude Code, Gemini CLI or whatever your team needs.

- Editor, file explorer and terminal, no local setup.
- Install packages, system tools, custom Docker images and GPU.
- Git-native workflow; connected to your data sources and project context.
- One workspace to build notebooks, live apps and pipelines.

Docs: https://b.mineo.app/documentation/docs/dev-environments

### Integrations

URL: https://www.mineo.app/integrations

Connect everything - data sources, storage, code, auth, notifications and any Python package.

- **Data sources:** CSV, MariaDB, MySQL, AWS Redshift, Oracle, SQL Server, PostgreSQL, ClickHouse, MCP.
- **Storage & collaboration:** Google Drive, SharePoint, OneDrive, Teams.
- **Code:** GitLab, GitHub, Git.
- **Authentication / SSO:** PingFederate, Active Directory / LDAP, ADFS, OpenID Connect, SAML, GitHub Auth, Google OAuth.
- **Notifications:** Email, Slack.
- **Extensibility:** Python packages, apt packages, Docker images, MCP servers, plus custom integrations.

## Why MINEO

### Security and compliance

URL: https://www.mineo.app/why-mineo/security-compliance

Your data never trains a model. Every interaction is permissioned, logged and auditable. GDPR and the EU AI Act are covered natively, so the AI program isn't stuck waiting on compliance sign-off.

Four security principles:

- **Protected data** - prompts and documents never train external models; you choose what is shared and with which provider.
- **Permissions & access** - SSO, role-based access, granular permissions on assistants, data sources and documents.
- **Traceability** - audit logs of every interaction by user, model, agent and use case, ready for audits and regulatory reviews.
- **Governance** - common policies that end Shadow AI and bring every team into one controlled environment.

Deployment: EU-hosted managed cloud (multi-tenant SaaS); or deploy in your own AWS, Azure or GCP account inside your perimeter; or pin data residency to the region your regulations require. Data is encrypted in transit and at rest.

Note on certifications: ISO 27001 / SOC 2 are not yet held (work in progress); control is preserved via own-cloud/own-region deployment, data that never trains models, granular permissions and a full audit trail.

### Cost management

URL: https://www.mineo.app/why-mineo/cost-management

AI spend is the new shadow cost - scattered ChatGPT/Copilot licenses, untracked API keys, models priced ~30x apart used for the same task. MINEO turns scattered spend into a budget you can manage, see and optimize.

- **Visibility by team and use case** - know who consumes, how much, and which processes justify the spend.
- **Smart routing** - send simple tasks to more efficient models; reserve advanced models for high-value work.
- **Budgets and limits** - caps, alerts and usage rules before costs get out of hand.
- **Consolidation** - reduce duplicate licenses and centralize adoption on one platform.

### No vendor lock-in

URL: https://www.mineo.app/why-mineo/vendor-lock-in

The AI market re-prices roughly every six months; a frontier model version lasts ~18 months before deprecation. MINEO is the orchestration layer that lets you use the best model per case, switch when convenient, and keep agents and apps running through every change - no rebuild.

- Choose per use case; switch providers without rebuilding.
- Use your own contracts; bring your own keys (Enterprise).
- Routing policies per case; future-proof by default.

## Compliance detail (GDPR and the EU AI Act)

- **GDPR** (EU Regulation 2016/679; Spain's AEPD): lawful processing, data minimization, right to be forgotten, portability, 72h breach notification. Fines up to EUR 20M or 4% of global turnover. MINEO provides a signed DPA, auto-generated Records of Processing Activities (ROPA), a pre-filled DPIA template (Art. 35), and verifiable deletion on request.
- **EU AI Act** (EU Regulation 2024/1689; Spain's AESIA): high-risk obligations apply from August 2026 (HR, credit, education, critical infrastructure). Fines up to EUR 35M or 7% of global turnover. MINEO provides automatic risk classification per use case, technical documentation (Art. 11), a risk management system (Art. 9), logging records (Art. 12) and a FRIA template (Art. 27).

## Solutions by industry

URL: https://www.mineo.app/solutions

Every vertical follows the same governed pattern: replace Shadow AI with one platform (permissions + audit), keep corporate data private (never trains third-party models; you control residency and access), give each team conversational AI, assistants, governed notebooks, internal apps, dev environments and automated pipelines - and stay audit-ready for that industry's regulation. The compliance framing per industry:

- **Education** (/solutions/education) - GDPR and the EU AI Act; institutional data, including minors' records, stays private.
- **Energy & Utilities** (/solutions/energy-utilities) - NIS2, critical infrastructure and GDPR.
- **Finance & Banking** (/solutions/finance-and-banking) - DORA, GDPR and the EU AI Act.
- **Healthcare & Life Sciences** (/solutions/healthcare-life-sciences) - GDPR, medical confidentiality and the EU AI Act.
- **Insurance** (/solutions/insurance) - Solvency II, DORA, GDPR and IDD.
- **Legal** (/solutions/legal) - attorney-client privilege, GDPR and the EU AI Act.
- **Manufacturing** (/solutions/manufacturing) - trade secrets, IP, NIS2, GDPR and the EU AI Act.
- **Marketing & Sales** (/solutions/marketing-sales) - GDPR, ePrivacy and the EU AI Act.
- **Media & Entertainment** (/solutions/media-entertainment) - copyright/IP, GDPR and the EU AI Act.
- **Retail & E-commerce** (/solutions/retail-e-commerce) - GDPR, PCI-DSS and the EU AI Act.
- **Transportation & Logistics** (/solutions/transportation-logistics) - NIS2, GDPR and the EU AI Act.

## Concepts (glossary)

URL: https://www.mineo.app/academy

- **AI Workspace** - a single platform where a whole company can use, build and govern AI across every model, instead of scattering it across disconnected tools. It centralizes access, data, permissions and cost. MINEO is an AI Workspace.
- **Multi-model AI** - using more than one AI provider (OpenAI, Anthropic, Google, open source) through a single platform, picking the best model per task and switching freely without rebuilding.
- **Vendor lock-in** - dependence on a single AI provider, where switching models means rebuilding agents, apps and workflows. Avoiding it means using any model through one platform and changing providers without rewriting anything.
- **Shadow AI** - unsanctioned use of AI tools by employees (e.g. pasting company data into public chatbots) outside IT's visibility and control. It creates data, cost and compliance risk; the fix is governed AI teams actually want to use.
- **AI governance** - the controls that keep enterprise AI safe and accountable: permissions, audit logs, data boundaries and policies over which models and data each team may use.
- **AI cost management** - making AI spend visible and controllable: usage per team and use case, routing each task to the cheapest viable model, and budgets and limits.
- **AI assistant (agent)** - a configured AI that performs a specific job using a chosen model, approved data and connected tools. Unlike a raw chatbot, it is governed, reusable and permissioned.
- **AI workflow** - an automated, multi-step process where AI runs on a schedule or trigger (e.g. a daily report or recurring data refresh) without manual work each time.
- **MCP (Model Context Protocol)** - an open standard that lets AI assistants connect to external tools and data sources (databases, ticketing systems, internal APIs) so they can act, not just answer.

## Company

- **About** (https://www.mineo.app/about) - MINEO is built so a whole company can use, build and govern AI on one platform. Principles: every model, no lock-in; govern, don't block; cost you can see. Partners include Microsoft for Startups and NVIDIA Inception.
- **Customers** (https://www.mineo.app/customers) - used by data scientists, data analysts, enterprises and education; trusted by teams including Air Liquide, Brambles, Heineken, Procter & Gamble and Suntory.
- **Contact** (https://www.mineo.app/contact) - talk to the team or request a demo.

## Key links

- Home: https://www.mineo.app
- Pricing: https://www.mineo.app/pricing
- Security & compliance: https://www.mineo.app/why-mineo/security-compliance
- Cost management: https://www.mineo.app/why-mineo/cost-management
- Vendor lock-in: https://www.mineo.app/why-mineo/vendor-lock-in
- Solutions: https://www.mineo.app/solutions
- App: https://b.mineo.app
- Documentation: https://b.mineo.app/documentation/