



Reserv
NodiStep
Stepper is an educational IoT device that demonstrates how code transforms into motion using magnetic force. It bridges the gap between abstract algorithms and real-world results.
ABOUT STEPPER
NodiStep is a hands-on STEM kit that brings electromagnetism to life.
It combines a real working model with interactive software, letting students see and control magnetic motion in real time.
Perfect for classrooms and STEM programs exploring physics, automation, and robotics.
STEM Education Value
NodiStep bridges theory and reality, helping students master electromagnetism, automation, and mechatronics through visual and tactile learning.
Hands-On Learning Made Simple
Plug into your computer and start experimenting right away. NodiStep connects to an interactive app that lets students test algorithms and control movement in real time - without complex setup or coding barriers.
Interactive Learning Experience
Real-time visualization - see every magnetic step
Watch magnetic field react instantly with synchronized LED feedback
Physical + Virtual control
Learn through both touch and technology - see how digital commands drive real motors
Easy to use - plug & learn in minute
No assembly or setup required - just connect and start experimenting
STEM Resources for Schools
Your school competitive edge: boosted STEM achievement
Ideal for Primary and Middle School (K-12): Our kit includes a proprietary visual programming ecosystem.
The software allows students to simply drag-and-drop blocks to build algorithms and instantly see the results.
We drastically lower the barrier to entry so that every child can feel like a prodigy-inventor and gain immediate, hands-on engagement with STEM.
Software Features
STEM Education Value
NodiStep bridges theory and reality, helping students master electromagnetism, automation, and mechatronics through visual and tactile learning.
How it works?
Inside the Kit
From Theory to Practice
What it is?
Nodi Ecosystem
Testimonials
Reserv
NodiStep
Stepper is an educational IoT device that demonstrates how code transforms into motion using magnetic force. It bridges the gap between abstract algorithms and real-world results.
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