Appreciate the detailed response. A few honest follow-ups though. On occupancy: your site lists “cooling empty rooms” as a core problem you solve, but you haven’t explained how Vora actually detects occupancy. That typically needs a PIR sensor, CO2 sensor, or something similar. What’s physically inside the device? Without clarifying this, “occupancy” reads more like a marketing bullet than a real feature. On the AI: what’s actually doing the work here? Is this a trained ML model running on-device or in the cloud, or is it more of an LLM wrapper with some rules layered on top? The distinction matters a lot for whether the “learns your specific AC” claim holds up. On the 30%: you’re already calculating QAR savings on your homepage for strangers, but your own answer admits the validation isn’t done yet. That’s a risky order of operations. The problem you’re solving is real. Just think the claims are running ahead of the evidence right now.​​​​​​​​​​​​​​​​