Understand the business.
Name your company, configure its settings, and work with customers, products and native sales processes.
Practical ERP experience ↗REAL TOOLS. SYNTHETIC BUSINESS. YOUR WORK.
Your first company.
Your next possibility.
Turn what you learn into work you can show. Build a company, make decisions with data, and put AI and automation into practice.
The platform is being built. Private access is available only to assigned preview accounts.
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N↗ILLUSTRATIVE COMPANY
Northline Supply Co.
A business shaped by your decisions.
yourname.stemaistudio.com
BusinessConfigure & operate
Data & AIExplore & build
PortfolioExplain & evidence
From raw data to decisionsClean → validate → connect
Make the work yours.Build. Reflect. Demonstrate.
A preview of the journey · not live student data
LEARN THROUGH DOINGData engineering✦Machine learning✦Automation✦Business operations
THE EXPERIENCE
A place to connect
the dots.
Work inside a continuing synthetic business. Each course adds a new perspective, a new challenge and a new piece of evidence.
Make the connections.
Clean and map synthetic data in Python. Build your own n8n or Python integrations through validated company APIs.
Your reasoning. Your workflow. ↗Show what you can do.
Bring together records, analysis, decisions and reflection. Submit evidence for instructor review as your skills grow.
Work with a story behind it ↗YOUR COMPANY, OVER TIME
A new semester.
Not a new start.
Your company address and prior work stay with you. Your instructor assigns scenarios and missions around your current courses and the capabilities you have already developed.
Explore the learning pathways- 01
Start with a scenario
Receive an instructor-assigned synthetic business context and source datasets.
- 02
Make it your company
Choose its name, configure the business and tackle your course missions.
- 03
Build on your progress
Add new capabilities and evidence through future enrolments.
LEARNING PATHWAYS
Different disciplines.
One connected experience.
Your enrolments shape the missions available to you. Advanced work can use clearly attributed bridge datasets when needed.
Data & decisions
Data engineering, exploratory analysis, and introductory machine learning.
Intelligent systems
Computer vision, GIS, graph methods, neural networks, IoT and deployment.
Specialist practice
Health and life science analytics, emerging techniques and integrated workplace evidence.
Pathways describe the platform’s planned capability catalogue. Actual access follows instructor assignments and enrolments.
FIRST CAREER EXPERIENCE
Start with curiosity.
Build something you can explain.
Follow the platform as its company tools, learning journeys and portfolios take shape.
Build preview · New capabilities in preparation