Every AI model. One platform. Zero lock-in.
Multi-model access, protected data, and 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
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. 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. Deploy with 9+ Python frameworks and trigger pipelines via API.
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 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 and reserve advanced models for high-value work.
Budgets and limits
Define caps, alerts and usage rules before costs get out of hand.
Consolidation
Reduce duplicate licenses and centralize adoption on a common platform.
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.