Product
Pre-order Target
โน70 L
Total Pre-ordered
โน0
Product Price
โน7 Cr
Pre-order Now
โน70 L
Expected Delivery
January 1970
Delivery Notes
Ships within 1 year of production start
Product Price
โน7 Cr
๐ PRE-ORDER
โน7,000,000 10% upfront deposit
โ
Price locked at โน7 Cr forever
๐ณ Balance โน6.3 Cr on delivery
โฉ๏ธ 100% refundable before shipping
๐ Certificate issued instantly
๐
ADVANCE BOOKING
โน3,500,000 5% slot reservation fee
โ ๏ธ Final price may change at delivery
๐ณ Est. balance โน6.65 Cr on delivery
โ Slot fee non-refundable
๐ Certificate issued instantly
What's the difference?
Pre-Order locks your price at โน7 Cr permanently โ pay โน70 L now, โน6.3 Cr on delivery.
Advance Booking reserves your slot for just โน35 L but the final price may change.
Pre-order deposits are 100% refundable before shipping.
67% Pre-ordered
โน0 pre-ordered of โน70 L
About This Project
Overview, mission & core vision
CoolRoof AI is an intelligent roofing system that combines nano-coated reflective materials with embedded IoT sensors and AI-controlled electrochromic panels โ automatically adjusting roof thermal properties in real time based on weather, temperature and occupancy to slash air conditioning costs by 45% with zero manual intervention.
๏ฟฝ๏ฟฝ Problem
Buildings consume 40% of all energy globally โ air conditioning alone accounts for 70% of building electricity bills in India
๏ฟฝ๏ฟฝ Solution
CoolRoof AI automatically switches between heat-reflective and heat-absorbing modes based on real-time weather data
๏ฟฝ๏ฟฝ Market
$8.6B global smart roofing market growing at 10.2% CAGR by 2030
๏ฟฝ๏ฟฝ Traction
Pilot installed on 6 commercial buildings in Chennai โ average 43% reduction in AC electricity bills achieved
๏ฟฝ๏ฟฝ Revenue Model
Rs.850 per sq ft installation + Rs.1,200/year per building monitoring subscription
๏ฟฝ๏ฟฝ Use of Funds
50% material manufacturing & installation, 30% AI software development, 20% sales & partnerships
Features
Core capabilities & functionalities
โ
Auto Thermal Mode Switching
AI automatically switches roof between maximum heat reflection mode in summer and heat absorption mode in winter โ optimizing indoor temperature 24/7
โ
Real-Time Weather Integration
Embedded sensors combined with live weather API data predict temperature changes 2 hours ahead โ pre-adjusting roof properties before heat load builds up
โ
45% AC Cost Reduction
Electrochromic nano-coating adjusts solar reflectance from 20% to 90% on demand โ directly reducing air conditioning load and cutting electricity bills by 45%
โ
Structural Health Monitoring
Embedded pressure and moisture sensors continuously monitor roof integrity โ detecting leaks, cracks and structural stress weeks before they cause damage
โ
Mobile Energy Dashboard
Building owners monitor real-time roof temperature, energy savings, AC load reduction and monthly cost savings from a smartphone app
โ
Rainwater Harvesting Integration
Smart drainage channels with automated gates maximize rainwater collection during monsoon โ reducing water bills by up to 30% alongside energy savings
Key Advantages
Why this project stands out
โ ๏ธ
Predicts Failure 72 Hours Early
Vibration, current and temperature analysis detects developing faults in motors, cables, brakes and doors 72 hours before breakdown โ maintenance team replaces failing component during scheduled downtime instead of responding to a breakdown with passengers trapped
๐
Zero Passenger Entrapment
Pilot buildings using LiftLog reported zero passenger entrapment incidents over 18 months versus industry average of 2.3 entrapments per lift per year โ most impactful safety metric for residential society facility managers and liability insurers
๐
Compliance Certificates Auto-Generated
LiftLog generates IS 14665 statutory inspection data automatically โ maintenance records, safety check logs and performance metrics formatted for lift inspector submission, reducing compliance documentation effort from 4 hours to 4 minutes per inspection
๐ง
Clamps On Without Stopping Lift
All LiftLog sensors install on existing cable, motor and door mechanism externally โ no lift shutdown required for installation. Full sensor suite fitted and live within 4 hours of installation team arrival with residents using the lift throughout
๐ฐ
Reduces Maintenance Cost by 45%
Predictive maintenance replaces scheduled maintenance โ parts replaced only when wear is detected, not on calendar schedule. Pilot buildings reduced annual lift maintenance expenditure by 45% while improving reliability and safety simultaneously
๐ข
Multi-Lift Building Dashboard
Building manager app shows health status of all lifts simultaneously โ colour-coded risk dashboard, upcoming maintenance schedule, energy consumption per lift and month-on-month reliability trend for AMC renewal negotiations
How It Works
Step-by-step process & workflow
01
Roof Assessment
CoolRoof AI engineer visits site, measures roof area, assesses current thermal performance and designs optimal sensor placement layout
02
Nano-Coating Application
Electrochromic nano-coating is applied on existing roof surface in 2 days โ no structural changes, no demolition, works on any roof type
03
Sensor Grid Installation
IoT temperature, humidity and pressure sensors are embedded in a grid pattern across roof surface and connected to central AI controller
04
AI Controller Setup
Central AI unit installed, connected to building electrical system and linked to live weather API and building energy management system
05
Calibration & Testing
System runs 7-day calibration cycle learning building thermal patterns, occupancy schedules and local microclimate for optimized performance
06
Live Monitoring Begins
Building owner gets app access โ CoolRoof AI begins autonomous thermal management with monthly energy savings reports generated automatically
Technology
Tech stack & innovation
๐ฌ
Electrochromic Nano-Coating
Proprietary vanadium dioxide nano-coating changes solar reflectance from 20% to 90% in under 60 seconds when triggered by AI controller signal
๐ก๏ธ
IoT Thermal Sensor Grid
Network of 50 micro-sensors per 1000 sq ft monitors surface temperature, heat flux, moisture and structural stress across entire roof in real time
๐ค
ThermalAI Prediction Engine
Machine learning model processes weather forecasts, sensor data and occupancy patterns to predict optimal roof thermal settings 2 hours in advance
โ๏ธ
RoofCloud Energy Platform
Cloud platform aggregates data from all installed buildings, generates energy savings reports, carbon credit certificates and predictive maintenance alerts
โก
Smart Grid Integration
CoolRoof AI connects to building smart meter and electricity grid โ automatically shifting energy usage to off-peak hours for additional 15% cost savings
๐ง
Hydrophobic Self-Cleaning Layer
Outer nano-coating repels dust, pollution and water โ keeping reflective surface clean and maintaining maximum efficiency with zero manual cleaning
Market Opportunity
Market size, growth & potential
$8.6B
Global Smart Roofing Market 2030
40%
Global Energy Consumed by Buildings
10.2%
Market CAGR Through 2030
Rs.4L
Average Annual AC Bill Per Commercial Building in India
43%
AC Cost Reduction Achieved in Chennai Pilot
6 Cr+
Buildings in India Eligible for CoolRoof AI Installation
Specifications
Technical details & parameters
AC Cost Reduction
45% average
Indoor Temp Reduction
6 degrees Celsius
Solar Reflectance Range
20% to 90% adjustable
Switching Speed
Under 60 seconds
Sensor Coverage
50 sensors per 1000 sq ft
Installation Time
2 days, no demolition
Payback Period
3 years
Operating Temp
-10C to 75C
Product Price
โน7 Cr
Choose your purchase option
67% Pre-ordered
โน0 pre-ordered
245
Days Left
67%
Pre-ordered
Product Price
โน7 Cr
Listing Deadline
31 Dec 2026
Pre-Order Notice: This is a product reservation, not an investment.
No shares or equity are issued. Deposit is 100% refundable before shipping.
Refund Policy
๐ Pre-order
Pre-Order
Pay 10% now โ โน7,000,000 ยท Balance โน63,000,000 on delivery
See pre-order breakdownโผ
Product priceโน7 Cr
Buyer pays now (10%)โน7,000,000.00
Creator receives (96%)โน6,720,000.00
Platform fee (4%)โน280,000.00
Balance due on deliveryโน63,000,000.00
Creator receives (96%)โน60,480,000.00
Platform fee (4%)โน2,520,000.00
Buyer pays exact price ยท Platform takes 4% from each payment ยท ๐ Certificate issued
๐
Advance Booking
Advance Booking
Reserve now โ โน3,500,000 ยท Balance โน66,500,000 on delivery
See booking breakdownโผ
Product price (current)โน7 Cr
Buyer pays now (5%)โน3,500,000.00
Creator receives (96%)โน3,360,000.00
Platform fee (4%)โน140,000.00
Est. balance on deliveryโน66,500,000.00
Creator receives (96%)โน63,840,000.00
Platform fee (4%)โน2,660,000.00
โ Final price may change ยท Buyer pays exact price ยท ๐ Certificate included
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๐ Certificate issued on payment
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โ
Backed by 3D-Labs
โ coolroof@3d-labs.com