Schools running STEM programmes
A curriculum that scales from one teacher pilot to a district wide rollout.
Teach kids AI, ML & robotics for real
A modular hardware + software learning suite that helps students build real machines while learning real AI.
RoboMind is a modular hardware plus software learning suite that helps children and students build real machines while learning coding, electronics, AI and machine learning. It is designed for schools, after school centres and STEM labs with content that scales from first circuits to edge inference and ethics.
Most "STEM kits" are toys. Students lose interest fast, teachers cannot tell who is struggling, and content rarely connects to real AI or machine learning beyond a demo. Schools need something that grows with the learner and the classroom.
A connected RoboMind Core paired with snap on sensors and chassis, a desktop studio that converts blocks to Python, an AI Lab for dataset collection and on device training, and a cloud for class management and progress tracking all wrapped in a teacher friendly, classroom tough package.
If any of these sound like you, the conversation starts well.
A curriculum that scales from one teacher pilot to a district wide rollout.
Engaging, project based learning aligned with international standards.
A hardware platform that supports real AI, not just blinking LEDs.
Students collect data, label it, train models and run inference on their own hardware.
Three pathways from age 8 to 18 share the same hardware. No new kit every grade.
Cloud dashboards, progress tracking and lesson plans. Teachers see who needs help.
Color coded ports, USB C power and durable enclosures survive the school year.
Modules and capabilities the team has shipped, hardened and is actively running for customers.
Wi Fi/BLE controller, MicroPython and C++ ready, USB C power and color coded ports designed for classroom durability.
Camera, mic/speaker, IMU and ultrasonic modules, plus a rover chassis and robot arm add ons.
A desktop IDE for Windows, macOS and ChromeOS where block code converts seamlessly to Python.
Dataset collection, labelling and on device model training so students experience real AI end to end.
Class management, project sharing and progress tracking for teachers and parents.
Explorer (8 12), Creator (12 15) and Innovator (15 18) from first circuits to TinyML and ethics.
Engineered for the long term the same patterns we lean on across every NerdHerd product.
Modular boundaries, versioned APIs and event streams so adding the next module never means rewriting the last one.
Encryption in transit and at rest, role based access control, audit trails and the operational tooling to prove it.
Logs, metrics, traces and SLOs unified across services so the on call engineer always knows what's happening.
Horizontal scale where it matters, sensible defaults where it doesn't, and a tested upgrade path for every component.
Pick the path that fits a tailored demo, a written brief, or a no commitment chat with the engineers behind the product.