Mineo
Education

The AI Data Platform for education teams

Talk to your student, course and outcome data, build interactive learning tools, deploy internal dashboards and automate term reporting β€” all from one platform, ready for analytics teams and educators alike.

See how it works
Explore outcomes

Ask your student, course and cohort data in plain language

Build learning tools

Interactive notebooks and dashboards for instructors and analysts

Automate term reporting

Schedule cohort refreshes, completion checks and recurring reports

Trusted by

Air liquide logo
Brambles logo
Heineken logo
Procter&Gamble logo
Suntory logo
How it works

One platform, every job

From asking a question to shipping a learning tool, MINEO covers the full journey β€” connected to the data your education team already works with.

Conversational Data Analysis

Ask your education data anything with Threads

Connect any datasource β€” student records, course data, LMS events, survey results β€” and start asking questions in natural language. Threads auto-generates SQL, runs code, and delivers answers with interactive charts and tables. Build custom AI assistants with the model of your choice.

  • Natural language queries with auto-generated SQL
  • Custom Assistants with any AI model (OpenAI, Anthropic, Google)
  • Connect student systems, LMS and internal APIs
  • Code interpreter for advanced analysis and visualizations
MINEO Threads Β· Outcomes analysis
students_dbcourses.csv
AI-Powered Python Notebooks

Supercharged Notebooks for education teams

More than Jupyter. MINEO Notebooks combine code, AI assistant cells, interactive widgets and visual tools in one collaborative environment. Perfect for analysts, researchers and educators β€” write Python, build teaching materials, and deploy as live apps from the same notebook.

  • 5 cell types: Code, Markdown, AI Assistant, Widgets, Snippets
  • 10+ no-code widgets: SQL Query, Chart, KPI, Table, Form and more
  • Real-time collaboration across instructors and analysts
  • AI wand for code suggestions and explanations per cell
  • One-click deployment to live data applications
MINEO File View Block Kernel Help
Student Outcomes Lab
100%
Code Markdown Assistant Widget Snippet
Termly completion analysis

Compare completion across cohorts and courses.

Region: All Regions
Results:
8
Apply
[1]

df = mineo.query("SELECT cohort, AVG(completion_rate) FROM classes GROUP BY cohort")

px.bar(df, x="cohort", y="completion_rate", color="avg_score")

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 Β· 6GB
Deploy as App
Interactive Data Apps

Deploy live apps students and staff will actually use

Turn notebooks into always-on dashboards and interactive learning applications for analytics teams, instructors and program leads. Deploy with Streamlit, Gradio, Dash and 6+ more frameworks. Custom domains, white-label branding and embeddable visualizations.

  • 9+ Python frameworks: Streamlit, Gradio, Dash, Panel, and more
  • Always-on apps with custom domains and 99.9% SLA
  • White-label branding and embeddable visualizations
  • Real-time data from connected datasources
MINEO Mineo Β· Learning dashboard
Live
Programs overview

Last updated: 2 minutes ago

Filters Scope: intro courses Export

Active students

3,842

+7% vs Q3

Completion rate

76%

+4pp vs Q3

At-risk cohorts

4

-1 vs Q3

Completion by cohort FY 2025
$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
learning.mineo.app Powered by Streamlit
Cloud Dev Environments

Full VS Code in the cloud

A complete Linux development environment accessible from your browser. Install any package, any tool β€” Claude Code, Codex, Gemini CLI. Build learning materials and analytical tools with the libraries you trust, connect to your datasources and collaborate with your team. No local setup required.

  • Full VS Code with extensions and terminal
  • Install any tool: Claude Code, Codex, Gemini CLI
  • Custom Docker images and GPU acceleration
  • Connected to MINEO datasources and Git integration
MINEO VS Code β€” Dev Environment
learning_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("Learning Dashboard")

 

ds = DataSource("students_db")

df = ds.query("SELECT * FROM classes")

 

# Layout

col1, col2 = st.columns(2)

col1.metric("Completion", f"{df.completion.mean():.1%}")

col2.metric("Students", f"{df.student_id.nunique():,}")

 

# Charts

fig = px.bar(df, x="cohort", y="completion", color="course")

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://learning.mineo.app

✓ Deployed successfully

Automated Pipelines

Automate your education workflows with Pipelines

Chain notebooks into production workflows. Schedule recurring runs with cron, trigger via REST API, and monitor execution in real time. From term refreshes to completion reports β€” build reliable workflows without infrastructure overhead.

  • Chain notebooks as sequential pipeline steps
  • Schedule with cron or trigger via REST API
  • Configurable compute resources per pipeline
  • Execution history with logs and error tracking
MINEO / Projects / education / Termly outcomes refresh
General Elements 3 Executions API

Elements

1 extract_enrolments.ipynb
2 compute_completion.ipynb
3 publish_term_report.ipynb

Resource Config

Worker Environment
EduWorker 2 cores Β· 6 GB

Scheduling

Crontab Expression 0 6 * * *
Every day at 06:00
Active

API

Enabled
POST /v1/pipelines/{id}/run
Last Execution Running β€’ -- β€’ Waiting
How it all connects

Workflows that bring it all together

The biggest unlocks come when MINEO's building blocks share the same logic β€” the same notebook becomes a term pipeline, an internal dashboard, or an answer in a Threads conversation.

Notebook Pipeline

Term reports on autopilot

Build the completion analysis once in a collaborative notebook, then schedule it as a pipeline so the termly review lands in your program lead's inbox on time.

Threads+Live App

Self-serve cohort analysis

Researchers explore cohort data conversationally with Threads while program staff see the same numbers in an always-on Live App dashboard.

Dev Env Notebook Live App

From learning lab to classroom tool

Prototype the interactive notebook in a Cloud Dev Environment, refine it with educators, and ship it as a Live App students can use directly.

Bring education workflows onto one platform

Use MINEO to talk to your data, build learning tools, deploy internal apps and automate term reporting β€” all from the same workspace.

Get started for free πŸš€ Request a demo