Govern
From Shadow AI to governed assistants
Bring scattered ChatGPT use into one platform: the same models teams already like, now with <strong>permissions, audit and customer data that never trains third-party models</strong>.
Marketing & Sales
All your marketing and sales AI, governed and compliant
Centralize how every marketing and sales team uses AI on one platform: any model, no lock-in, customer and CRM data that never trains third-party models, cost under control, and GDPR, ePrivacy and EU AI Act compliance by design.
See how it worksShadow AI under control
Replace scattered, ungoverned chatbot use with one platform — <strong>permissions and audit included</strong>
Your data stays yours
Customer and CRM data <strong>never trains third-party models</strong>; you control residency and access
Marketing-grade compliance
<strong>GDPR, ePrivacy and the EU AI Act</strong> — traceability on every AI interaction with customer data
What your teams build, governed
One governed platform for every revenue team
Demand gen, marketing ops, sales ops, RevOps, customer marketing — each team builds what it needs with <strong>any AI model</strong>, while you keep one place to set permissions, control cost and prove compliance.
Conversational AI
Conversational AI on your data, under your control
Give marketing and sales teams a governed way to chat with any AI model over approved data and tools (MCP) — instead of pasting customer lists into public chatbots. Every conversation runs with permissions and a full audit trail, and customer data stays private.
- Any model — switch without re-platforming
- Acts through approved tools (MCP), with guardrails
- Permissions and audit on every conversation
- Customer data never leaves your governance
Threads · Revenue analysis crm_dbcampaigns.csv
Understanding intent…
Querying crm_db
Auto-generated SQL
Calling salesforce-mcp…
MCP tool call
{ "tool": "salesforce-mcp", "action": "create_task", "summary": "Create follow-up tasks for the 15 stalled enterprise accounts" }
via salesforce-mcp · just now
Corporate assistants
Corporate assistants for every revenue team, not Shadow AI
Give marketing, sales and customer success their own assistants — brand copy, CRM follow-up, sales enablement — shared across the organization, on any model, with permissions, team memory and skills. They work like agents: they search the CRM, read campaign briefs and open tasks in your tools, always within the access of the person asking.
- Brand copywriter: drafts campaigns and ads in your tone of voice
- CRM follow-up: writes next-step emails from each deal's context
- Sales enablement: answers reps' product and pricing questions from approved material
- Team memory: assistants read and update the team's knowledge base of messaging, objection handling and what worked in past campaigns
- Acts as an agent through approved tools (MCP), with permissions, audit and cost limits
Set the assistant's name, model and base instructions.
🤖
* Name
Data Analyst
Description
An AI assistant that helps you analyze and explore your data.
Model
Claude Fable 5.1 (EU) 🇪🇺
Instructions
You are a data analyst assistant. Help users explore, analyze, and understand their data. Write clear SQL queries, explain results, and suggest insights.
Optimize prompt
Conversation starters (2 / 4) Add
Explore tables What tables are available? Show me their schemas.
Quick summary Give me a summary of the most important table.
Skills
Your team's playbook, as reusable skills
Turn the way your teams market and sell into skills: the brand voice guide, the qualification framework, the objection-handling playbook. Anyone picks them with / while writing, and the assistant only loads them when they're needed.
- Company-wide skills shared from one project and edited in one place
- Team skills for demand gen, sales or customer success, visible only to that team
- Pick them while typing with / — only what you pick travels with the message
- The assistant can write a new skill from an answer that worked
Search skills…
AllOrganizationProjectPersonal
- Organization 1.4k
/brand-voice
Tone, vocabulary and words we never use
- Project 1.9k
/objection-handling
Approved answers to common pricing and security objections
- Project 800
/deal-follow-up
Structure for next-step emails after a call
- Organization 1.2k
/qualification-framework
Questions and criteria to qualify an opportunity
- Personal 380
/my-account-tone
How I write to my accounts
objection-handling deal-follow-up
Write a follow-up email for this stalled enterprise deal
Only the skills you pick travel with this message.
Artifacts
Apps built from a conversation, organized and governed
Ask for a campaign ROI board or a discount calculator for reps and the assistant builds it as an artifact — a live app. Each one stays with its conversation, keeps every version and is published under its own URL with permissions, ready to become a team tool.
- Lives with the conversation that created it — no loose files
- A version per iteration; restore or republish any of them
- Published under its own URL, with permissions
- Export a copy to the project when it becomes a team tool
- Reads CRM and campaign data through MINEO, server-side
Build a pipeline board by campaign source that the sales and marketing leads can open.
Querying crm_db · 3 campaign sources
index.html · app.js · styles.css
Done — version 3 adds the win rate you asked for. It reads live from crm_db through MINEO, so it stays up to date.
Highlight deals with no activity in 14 days…
v1v2v3 Restore
Publish mineo.app/a/pipeline-by-source
Pipeline · Q4
Open pipeline by source
Open pipeline $8.4M
Stalled deals 15
Win rate 27%
- Outbound $3.8M
- Inbound $2.9M
- Events $1.7M
Notebooks
Governed notebooks for analysts and ops teams
More than Jupyter. For the teams that need code: Python, AI cells on any model and interactive widgets in a collaborative, governed environment — with data connected securely and one-click deployment to live apps.
- 5 cell types: Code, Markdown, AI cell, Widgets, Snippets
- AI cells on any model for code and analysis
- Connected data with permissions, not loose copies
- Real-time collaboration with access control
- One-click deployment to governed live apps
Quarterly Pipeline Review 
100%
Code Markdown Assistant Widget Snippet
Quarterly pipeline analysis
Compare pipeline evolution across segments and campaign sources.
Region: All Regions
Results: 8
Apply df = mineo.query("SELECT segment, SUM(amount) FROM opportunities GROUP BY segment")
px.bar(df, x="segment", y="amount", title="Q4 Pipeline")
NA
EU
APAC
LATAM
Assistant
Key insight: North America drives 43% of total revenue. APAC showed the strongest growth at +23% QoQ, driven by expansion in Japan and Australia.
[2]
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% |
v12
ProWorker 2 CPU · 6GB
Deploy as App Live Apps
Internal apps your teams use, with permissions
Turn the work into always-on dashboards and applications for the whole revenue org. Deploy with Streamlit, Gradio, Dash and 6+ more frameworks — with permissions and access control built in, ready for your stakeholders.
- 9+ Python frameworks: Streamlit, Gradio, Dash, Panel, and more
- Always-on apps with custom domains and 99.9% SLA
- Permissions and access control on every app
- Real-time data from governed data sources
MINEO · Revenue dashboard Live
Revenue overview
Last updated: 2 minutes ago
Filters Segment: Enterprise Export
Pipeline
$8.4M
+24% vs Q3
Qualified leads
2,318
+17% vs Q3
Win rate
27%
-2% vs Q3
Pipeline by quarter FY 2026
$850K Q1
$920K Q2
$1.1M Q3
$1.3M Q4
| Customer | Region | Revenue | Status |
|---|---|---|---|
| Acme Corp | NA | $245K | Active |
| TechFlow GmbH | EU | $182K | Active |
| Sakura Ltd | APAC | $156K | Pending |
| DataBr SA | LATAM | $98K | Active |
revenue.mineo.app Powered by Streamlit
Dev Environments
Full VS Code in the cloud, governed
A complete Linux environment in the browser for technical teams. Install any tool — Claude Code, Codex, Gemini CLI — connect governed data sources and collaborate, without code or data leaving your control.
- Full VS Code with extensions and terminal
- Any tool: Claude Code, Codex, Gemini CLI
- Custom Docker images and GPU acceleration
- Connected to governed data sources and Git integration
VS Code — Dev Environment Explorer
src
app.py
pipeline.py
config.yaml
requirements.txt
Dockerfile
revenue_dashboard.py
pipeline.py
import streamlit as st
from mineo import DataSource
import plotly.express as px
st.set_page_config(layout="wide")
st.title("Revenue Dashboard")
ds = DataSource("revenue_db")
df = ds.query("SELECT * FROM opportunities")
# Layout
col1, col2 = st.columns(2)
col1.metric("Pipeline", f"${df.amount.sum():,.0f}")
col2.metric("Deals", f"{df.opportunity_id.nunique():,}")
# Charts
fig = px.bar(df, x="month", y="amount", color="segment")
st.plotly_chart(fig, use_container_width=True)
TERMINAL | zsh
mineo-dev@workspace:~/project$
Successfully installed plotly-5.22 scikit-learn-1.5
Your app is live at https://revenue-dashboard.mineo.app
✓ Deployed successfully
Pipelines
Automate AI workflows with control and audit
Chain notebooks and AI steps into production workflows. Schedule with cron, trigger via REST API, and govern every run from one platform — with full history and audit trail.
- Chain notebooks as sequential pipeline steps
- Schedule with cron or trigger via REST API
- Configurable compute resources per pipeline
- Execution history with logs and audit trail
- Assistants as scheduled steps — every Monday, a review of stalled deals with suggested next steps
/ Projects / revenue / Weekly revenue review General Elements 4 Executions API
Elements
1 extract_pipeline.ipynb
2 score_leads.ipynb
3 publish_weekly_review.ipynb
4 Sales assistant: summarize the day Assistant step
Resource Config
Worker Environment
RevenueWorker 2 cores · 6 GB
Scheduling
Crontab Expression 0 6 * * *
Every day at 06:00
Active
API
Enabled
POST /v1/pipelines/{id}/run
Last Execution Running • -- • Waiting
Why marketing and sales leaders choose MINEO
Govern AI across revenue teams
For a CTO or CISO the value isn't one more tool — it's one governed place where every revenue team's AI is visible, controlled and compliant.
Control cost
AI spend you can actually see
Track AI cost per team and use case, set budgets and route to the right model — <strong>no more surprise invoices</strong> across marketing and sales.
Prove compliance
Audit-ready for marketing and sales regulation
Every AI interaction is logged and traceable, helping you evidence <strong>GDPR, ePrivacy consent and EU AI Act</strong> requirements on customer data without extra tooling.
Govern all your marketing and sales AI on one platform
Every model, no lock-in, customer data that never trains third-party models, cost under control and marketing-grade compliance — GDPR, ePrivacy and the EU AI Act.