Every AI model. One platform. Zero lock-in.
Your own sovereign AI platform: every model and provider, protected data, budgets and permissions for every team — plus the tools to build agents, dashboards, data apps and workflows, without depending on a single vendor.
AI is already in your company. The problem is how it's being used.
Scattered platforms, costs no one controls, and data leaking outside the corporate perimeter.
Every team picks its own platform: ChatGPT, Copilot, Gemini, Claude, Perplexity, or other point solutions. The company loses visibility and consistency.
Duplicate subscriptions, unmeasured usage, and expensive models for trivial tasks. Without a common layer, optimizing the budget becomes nearly impossible.
Prompts, documents and queries can leak through uncontrolled channels. IT can't audit what was used, who used it, or with which information.
GDPR and the EU AI Act demand traceability and control. Without a common layer, proving compliance in an audit is nearly impossible.
AI is an ecosystem that changes every month. Betting on a single solution leaves you without the best model for each case — and no room to switch.
Teams adopt AI tools without going through IT. Unauthorized use grows and the organization loses control of what's used and where.
MINEO centralizes AI without tying you to a single provider.
Your company doesn't pick a "winning model." It gets an infrastructure to use the best model for each case, switch when convenient, and measure impact from a single place.
Enterprise
Technical & non-technical teams
AI Workspace AI Providers
Your AI, under your control.
Not another chatbot subscription: an enterprise platform you govern. You decide where it runs, which models and providers each team uses, how much they can spend and which tools the assistants can touch — and you see how adoption grows.
Runs where you decide
MINEO Cloud in the EU, a dedicated instance or your own cloud account, with your branding, your provider keys and your own mail server.
Every provider, every model
OpenAI, Anthropic, Google, Azure OpenAI, Vertex AI or your own LiteLLM proxy. A newly released model is imported and available the same day.
Models pinned to a region
Offer the EU deployment of each model where your policies require it, and keep sensitive projects inside the region.
Budgets that hold
An organization ceiling and limits per user, group and project by day, week and month, with a warning at 80% and a block at 100%.
Models and keys per department
Assign which models each project or group can use, each with its own provider keys, so every department's spend lands on its own account.
MCP servers under control
Approve the MCP servers and integrations each project can use, with OAuth per user — or deploy your own MCP server as a live app that MINEO wakes up on demand.
One platform, every profile
Builders, Creators and Viewers: developers, business users and stakeholders on the same platform, each license creating only what your plan allows.
Adoption you can measure
An AI adoption dashboard: active users, usage per person, trends and the most-used assistants, to show where AI is paying off.
One platform for everything your team builds with AI.
Assistants, corporate chat, dashboards, data apps, pipelines and notebooks — on your data, with any model and central governance, and apps you can simply describe (vibe coding). In production in days, not quarters.
Conversational AI over your data
Threads · any model, in context
Anyone asks in natural language across your data, documents and connected tools (MCP). Pick the model, get answers with context and actions — with permissions and full traceability.
ExploreCustom Assistants
Any model · your data · your rules
Build AI assistants per team or process. Pick any model, connect data, knowledge, MCP servers and skills, and govern access — all no-code.
ExploreAI-Powered Jupyter Notebooks
Code, No-Code & AI Assistant
Real-time collaboration, interactive widgets for visualization and input, MINEO Assistant, and one-click deployment as Data Apps.
ExploreInteractive Data Apps
Dashboards & Data Apps
Deploy interactive dashboards and Data Apps from notebooks or prompts. Share with your team, embed anywhere, or white-label for clients.
ExploreCloud Dev Environments
VS Code, Any Framework, Full Control
Full VS Code in the cloud. Install Claude Code, Codex, or any tool. Terminal, Git and your data sources, with no local setup.
ExploreAutomated Pipelines
Scheduled Jobs & API Triggers
Chain notebooks into automated workflows. Schedule runs, trigger via API, and build production data pipelines — no infrastructure needed.
Explore
Threads — Sales Analysis { "tool": "salesforce-mcp", "action": "create_task", "summary": "Create follow-up tasks for the top APAC accounts" }
via salesforce-mcp · just now
Quarterly breakdown by region with growth projections.
df = mineo.query("SELECT region, SUM(revenue) FROM sales GROUP BY region")
px.bar(df, x="region", y="revenue", title="Q4 Revenue")
Key insight: North America drives 43% of total revenue. APAC showed the strongest growth at +23% QoQ, driven by expansion in Japan and Australia.
df.sort_values("revenue", ascending=False).head()
| Region | Revenue | Growth |
|---|---|---|
| North America | $1.8M | +12% |
| Europe | $1.1M | +8% |
| APAC | $820K | +23% |
| LATAM | $480K | -3% |
Sales Dashboard — Live App Last updated: 2 minutes ago
Total Revenue
$3.9M
+18% vs Q3
Customers
1,692
+12% vs Q3
Avg Deal Size
$2.1K
-3% vs Q3
| Customer | Region | Revenue | Status |
|---|---|---|---|
| Acme Corp | NA | $245K | Active |
| TechFlow GmbH | EU | $182K | Active |
| Sakura Ltd | APAC | $156K | Pending |
| DataBr SA | LATAM | $98K | Active |
VS Code — Dev Environment Explorer
import streamlit as st
from mineo import DataSource
import plotly.express as px
st.set_page_config(layout="wide")
st.title("Sales Dashboard")
ds = DataSource("sales_db")
df = ds.query("SELECT * FROM orders")
# Layout
col1, col2 = st.columns(2)
col1.metric("Revenue", f"${df.total.sum():,.0f}")
col2.metric("Customers", f"${df.customer_id.nunique():,}")
# Charts
fig = px.bar(df, x="month", y="total", color="region")
st.plotly_chart(fig, use_container_width=True)
st.dataframe(df.head(10), use_container_width=True)
mineo-dev@workspace:~/project$
Successfully installed plotly-5.22 scikit-learn-1.5
Your app is live at https://sales-dashboard.mineo.app
✓ Deployed successfully
/ Projects / Finance / Daily Sales Pipeline Elements
Resource Config
Scheduling
API
AI built for corporate use.
Your data is not used to train models, and every interaction stays inside a framework of security, permissions and audit.
Corporate prompts and documents are not used to train models. The company decides what is shared and with which provider.
Users, teams and documents managed with corporate rules. Each person sees only what they need to see.
Usage logs by user, model, agent and use case for audits, compliance and internal control.
Common policies to prevent Shadow AI and bring adoption into a controlled environment.
AI needs financial control too.
MINEO turns scattered spend into a budget you can manage, see and optimize.
Per-user breakdown
| User | Cost | Cost (%) | Total tokens | Requests | Detail |
|---|---|---|---|---|---|
| ana.garcia@acme.corp | $22.40 | 33% | 2.4M | 3,820 | |
| m.lee@acme.corp | $18.90 | 28% | 2.1M | 3,240 | |
| p.patel@acme.corp | $14.30 | 21% | 1.8M | 2,910 | |
| t.becker@acme.corp | $11.50 | 18% | 1.9M | 2,468 |
Visibility down to the message
See tokens per message and per conversation, spend broken down by model, and the credit you have left — not a bill at the end of the month.
Smart routing
Send simple tasks to more efficient models and reserve advanced models for high-value work.
Budgets and limits
Set the organization ceiling, then limits per user, group and project by day, week and month. Warning at 80%, block at 100%, and one-off extra budget for whoever needs it — so one runaway conversation can't drain the team's credit.
Consolidation
Reduce duplicate licenses and centralize adoption on a common platform.
Never pay twice for the same context
Long conversations and agent runs resend the same instructions over and over. MINEO caches them automatically, so the repeated part costs a fraction — nothing to configure.
Only what matters travels
A report or a web page is read in full once; afterwards only the useful part stays in the conversation, long histories are summarized instead of dragged along and integration tools load only when they're needed. Faster answers, lower cost.
Models and keys per department
Decide which models each project or group can use, with its own provider keys and region, so each department's spend lands on its own account. A newly released model is imported and assigned the same day.
Measure adoption, not just spend
An AI adoption dashboard for admins: active users, average monthly usage per person, trends and the most-used assistants — so you know where the investment is paying off.
What our customers think about MINEO
Companies and teams trust MINEO to take AI to production — governed, cost-controlled and without vendor lock-in.
As CAIO I needed one place to run AI across the whole company — any model, with governance and cost control, and zero vendor lock-in. MINEO is now the backbone of our AI strategy.
Isabella Ochoa Cepero
Chief AI Officer, TheCUBE
It is super powerful. You can create all the BI you need using Python directly as if it were a Jupyter Notebook but with a much better presentation. You can create super visual and useful panels using Python and present them as production panels to display your data.
Martin G.
Tech Lead, Data Truth
We finally use the best model for each use case — and switched providers without rewriting a single agent. Governance, cost and audit live in one place. Exactly what our AI strategy needed.
Miguel G.
CTO, Perif.ai
GREAT Data Analytics and Data Visualization in an online collaborative platform!
Alejandro M.
Full Stack Engineer, Unlimiteck
Your All-in-One Tool for Data Science Projects. I have now been using MINEO for almost a year, and I can confidently say it has transformed the way I approach data science projects.
Edgar M.
Data Scientist
As CAIO I needed one place to run AI across the whole company — any model, with governance and cost control, and zero vendor lock-in. MINEO is now the backbone of our AI strategy.
Isabella Ochoa Cepero
Chief AI Officer, TheCUBE
It is super powerful. You can create all the BI you need using Python directly as if it were a Jupyter Notebook but with a much better presentation. You can create super visual and useful panels using Python and present them as production panels to display your data.
Martin G.
Tech Lead, Data Truth
We finally use the best model for each use case — and switched providers without rewriting a single agent. Governance, cost and audit live in one place. Exactly what our AI strategy needed.
Miguel G.
CTO, Perif.ai
GREAT Data Analytics and Data Visualization in an online collaborative platform!
Alejandro M.
Full Stack Engineer, Unlimiteck
Your All-in-One Tool for Data Science Projects. I have now been using MINEO for almost a year, and I can confidently say it has transformed the way I approach data science projects.
Edgar M.
Data Scientist
Ready to use AI without the lock-in?
Centralize AI across your company on one platform — multi-model, protected data, no-code tools, and EU-compliant by design.