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Welcome to MINEO

Every AI model. One platform. Zero lock-in.

MINEO is the enterprise AI workspace where technical and non-technical teams build agents, assistants, dashboards, data apps and pipelines — on any model (OpenAI, Anthropic, Google, Mistral, open source), over your data, with central governance, cost control and audit.

You don't pick a "winning model." You get the infrastructure to use the best model for each case, switch providers when convenient, and measure impact from a single place — without your prompts or documents leaving the corporate perimeter.

Why teams choose MINEO
  • No vendor lock-in — swap models and providers without rewriting your agents.
  • Protected data — corporate prompts and documents are never used to train models.
  • Governed by default — permissions, traceability and cost control built in (GDPR / EU AI Act ready).

What you can build​

Threads​

Conversational AI over your data — with any model in context.

  • Ask in natural language across data, documents and connected tools
  • Pick the model per conversation; switch anytime
  • Permissions and full traceability on every interaction

Learn more →

Assistants​

AI assistants per team or process — any model, your data, your rules.

  • Connect data sources and knowledge, no-code
  • Govern who can access each assistant
  • Add conversation starters and tailored behavior

Learn more →

AI-Powered Notebooks​

Interactive Python environments with a built-in AI assistant.

  • Code, No-Code and AI side by side
  • Real-time collaboration and rich visualizations
  • One-click deployment as Data Apps

Learn more →

Data Apps​

Publish notebooks as interactive dashboards and web apps.

  • Deploy Streamlit, Gradio, Dash, FastAPI and more
  • Share with your team, embed anywhere, or white-label
  • No frontend development required

Learn more →

Pipelines​

Automate workflows and schedule production data jobs.

  • Chain multiple notebooks together
  • Schedule runs or trigger via API
  • Monitor execution and results

Learn more →

Cloud Dev Environments​

Full VS Code in the cloud with complete control.

  • Install Claude Code, Codex, or any tool
  • Deploy with 9+ Python frameworks
  • Trigger pipelines via API

Learn more →

Data Sources​

Connect to databases, APIs, and file systems.

  • SQL databases (PostgreSQL, MySQL, etc.)
  • REST APIs and web services
  • File storage (CSV, Excel, Parquet)

Learn more →

Governance & Collaboration​

Organization and project structure with corporate controls.

  • Role-based access (viewers, editors, administrators)
  • Team workspaces with shared resources
  • Activity tracking and audit logs

Learn more →

Built for the enterprise​

MINEO brings scattered AI usage into one controlled environment — so adoption grows without losing visibility, security or budget.

  • Multi-model, no lock-in — Use OpenAI, Anthropic, Google, Mistral, Llama, Bedrock, Azure OpenAI, Ollama or open-source models. Switch when a better or cheaper option appears, without rewriting your agents.
  • Protected data — Your prompts, documents and queries are not used to train models. The company decides what is shared and with which provider.
  • Permissions and access — Users, teams and documents managed with corporate rules. Each person sees only what they need.
  • Traceability and audit — Usage logs by user, model, agent and use case for compliance and internal control.
  • Cost management — Turn scattered AI spend into a budget you can see, cap and optimize — with visibility per team and use case.

How MINEO is organized​

MINEO uses a hierarchical structure:

Organizations → Projects → Resources (Notebooks, Data Apps, Pipelines, Files)

  • Organizations: Group multiple projects and manage team members with billing
  • Projects: Isolated workspaces containing notebooks, data apps, pipelines, and files
  • Resources: The actual work you create (assistants, notebooks, dashboards, automations)

Learn more about Organizations and Projects →

Get started​

New to MINEO? Start with the Getting Started guide to create your account and first project. From there, explore the core features in this order:

  1. Start a Thread: Ask questions over your data with any model (Guide →)
  2. Connect to data: Link databases, APIs, or file systems (Guide →)
  3. Build an Assistant: Configure a governed AI agent for your team (Guide →)
  4. Build and automate: Create notebooks, data apps, or pipelines
  5. Govern: Set permissions, track usage, and control cost (Guide →)

Need help?​

Our documentation is regularly updated to ensure accuracy and completeness.

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