How Much Does It Cost to Set Up an AI Robotics Lab in a School?
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Let us actually get this out of the way first. Setting up an AI and robotics lab does not mean spending a fortune, and trust us on this.
Most schools out there, in fact, assume that lab setup is extremely expensive or extremely complicated. And that assumption, what we have seen usually comes from watching out half-baked setups or imported kits that do not really fit into Indian classrooms.
The truth is, the cost of a lab depends less on the word AI, honestly and more on how sensibly the lab is planned (which we really do the best).
So what really decides the cost?
Whenever a school speaks to us, we usually start with three questions.
- How many students will use the lab at one time?
- Which grades do you want the lab to support?
- And how deep do you want to go into robotics and AI?
Once the answers are clear to us, the numbers fall into place. An AI and robotics lab is not something you build for one batch. It actually is something a school builds for years. And that is where most cost planning goes wrong.
How does Blix approach lab setup?
At Blix, labs are built around our educator kit and the grade-wise kits that we have.
Schools have the option of buying individual kits for every student. If not this, schools can even use shared educator sets (the idea that really worked well, to date)
About our educator kit!
Our one educator kit works for four students. This keeps learning collaborative and keeps costs realistic. The same educator set supports grade-wise learning from foundational STEM to advanced AI and ML. With this kit, schools do not need to purchase separate kits for Grade 1, Grade 4, and Grade 7. The learning evolves using the same ecosystem.
On top of the educator set, schools can even get extension kits, accessories, and add-on kits (like Boffin Master and Lite range), depending on how much they want to expand. That flexibility is what controls cost.
So what does the cost actually look like?
In most cases, a complete AI and robotics lab setup in India falls between ₹3 lakhs and ₹9 lakhs.
Schools that really want to start small usually stay closer to the lower end. This covers educator kits, curriculum, teacher training, LMS access, and essential accessories.
Schools that want a larger setup, more kits, deeper AI projects, or additional installations move toward the higher bracket.
There is no forced jump. Schools scale when they feel they are ready.
What about the infrastructure?
This is another place where assumptions kick in.
For a lab setup, schools actually do not need to have a fancy lab space. Most Blix labs run comfortably in an existing classroom. A room of around 400 square feet works well.
Basic tables, storage cabinets, power points, and internet access are enough to start with. Computers will be needed for AI modules, but again, not one per student. Shared systems also work just fine here.
So, all in all, infrastructure is rarely the expensive part.
What happens after the lab is set up?
This is where the real work begins. Every Blix lab setup includes teacher training and certification. Teachers are trained to run sessions independently, not depend on external trainers forever.
There is also a one-year warranty on all supplied components. Beyond that, schools can opt for the Blix Annual Support Package.
This includes quarterly audits of the lab, replacement of damaged parts, support for trainers, curriculum updates, and ongoing guidance.
These audits also help us improve. When parts break repeatedly, or students struggle with a concept, that feedback goes straight into our R&D.
Is it actually worth the investment?
When schools look at cost per year, per student, the numbers make sense. A single lab supports multiple grades, runs for several years, and becomes part of everyday learning. It is not a one-time purchase. It is actually a complete infrastructure for learning.
Blix has already set up labs across thousands of schools, and many more are in progress. The focus now is scale. Making AI and robotics accessible without making it intimidating or unaffordable.
Because today, the real question is not really “how much does it cost?” It is more about “how long can we afford to wait?”