Product
Pre-order Target
โน50 L
Total Pre-ordered
โน0
Product Price
โน5 Cr
Pre-order Now
โน50 L
Expected Delivery
January 1970
Delivery Notes
Ships within 1 year of production start
Product Price
โน5 Cr
๐ PRE-ORDER
โน5,000,000 10% upfront deposit
โ
Price locked at โน5 Cr forever
๐ณ Balance โน4.5 Cr on delivery
โฉ๏ธ 100% refundable before shipping
๐ Certificate issued instantly
๐
ADVANCE BOOKING
โน2,500,000 5% slot reservation fee
โ ๏ธ Final price may change at delivery
๐ณ Est. balance โน4.75 Cr on delivery
โ Slot fee non-refundable
๐ Certificate issued instantly
What's the difference?
Pre-Order locks your price at โน5 Cr permanently โ pay โน50 L now, โน4.5 Cr on delivery.
Advance Booking reserves your slot for just โน25 L but the final price may change.
Pre-order deposits are 100% refundable before shipping.
11% Pre-ordered
โน0 pre-ordered of โน50 L
About This Project
Overview, mission & core vision
LiftLog is an AI-powered IoT elevator health monitoring system that installs non-invasively on any existing elevator โ continuously monitoring motor vibration, door performance, cable tension and energy consumption to predict mechanical failures 2 weeks before they occur, ending dangerous stuck-in-lift emergencies forever.
๏ฟฝ๏ฟฝ Problem
40% of elevator breakdowns in India happen without warning โ trapping residents including elderly and children for hours with zero prior notice
๏ฟฝ๏ฟฝ Solution
LiftLog predicts failures 2 weeks in advance giving maintenance teams time to fix issues during scheduled downtime โ zero emergency breakdowns
๏ฟฝ๏ฟฝ Market
$4.2B global elevator monitoring market growing at 9.8% CAGR by 2030
๏ฟฝ๏ฟฝ Traction
Pilot installed on 18 elevators across 6 residential apartments in Chennai โ predicted 11 failures with 100% accuracy, zero emergency breakdowns in 10 months
๏ฟฝ๏ฟฝ Revenue Model
Rs.8,999 per elevator installation + Rs.899/month per elevator monitoring subscription
๏ฟฝ๏ฟฝ Use of Funds
45% hardware manufacturing, 35% AI software development, 20% sales & apartment partnerships
Features
Core capabilities & functionalities
โ
2-Week Failure Prediction
AI model analyzes vibration patterns, motor current and door performance data โ predicting mechanical failures up to 2 weeks before breakdown with 96% accuracy
โ
Real-Time Health Monitoring
IoT sensors monitor motor temperature, vibration frequency, door open/close speed, cable tension and power consumption every 10 seconds continuously
โ
Resident Safety Alerts
Instant push notification sent to all apartment residents and facility manager when elevator health score drops below safe threshold โ before any breakdown occurs
โ
Maintenance Work Order Generation
System automatically generates detailed maintenance work orders with exact fault description, recommended spare parts and urgency level โ sent directly to elevator technician
โ
Energy Consumption Tracking
Monitors elevator power usage patterns and detects abnormal energy spikes that indicate motor wear โ reducing electricity waste by 18% through optimized operation
โ
Complete Service History Log
Digital logbook automatically records every maintenance visit, repair, part replacement and inspection โ providing complete verifiable service history for each elevator
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
Sensor Installation
LiftLog technician installs vibration, temperature and current sensors on elevator motor, door mechanism and cable system in under 3 hours โ no elevator downtime needed
02
Baseline Learning
AI system monitors elevator for 7 days learning normal vibration patterns, door timing and energy consumption โ establishing personalized health baseline for that specific elevator
03
Continuous Health Scoring
System calculates real-time elevator health score from 0-100 every hour โ scores below 70 trigger maintenance alerts, below 50 trigger urgent alerts to facility manager
04
Failure Prediction Alert
When AI detects deteriorating patterns matching historical failure signatures, maintenance team receives detailed alert 2 weeks before predicted breakdown date
05
Scheduled Maintenance
Facility manager books elevator maintenance during low-usage hours using LiftLog app โ residents notified in advance, technician arrives with correct spare parts
06
Post-Service Verification
After maintenance, LiftLog verifies repair quality by monitoring health score recovery โ confirming elevator is fully restored before closing the maintenance work order
Technology
Tech stack & innovation
๐ฌ
Multi-Axis Vibration Sensors
Industrial MEMS accelerometers measure motor and mechanical vibration in 3 axes at 10,000 samples per second โ detecting microscopic bearing wear and gear degradation months before failure
๐ค
ElevatorAI Prediction Engine
LSTM deep learning model trained on 50,000 elevator fault events predicts 14 failure types including motor burnout, door jam, brake wear and cable fatigue with 96% accuracy
โก
Current & Power Monitoring
Hall-effect current sensors monitor motor power draw continuously โ abnormal current patterns reveal mechanical resistance, winding degradation and impending motor failure
๐ก
WiFi + GSM Dual Connectivity
Primary WiFi connection to building network with GSM backup ensures 99.9% data uptime โ sensor data reaches LiftLog cloud even during building internet outages
โ๏ธ
LiftCloud Management Platform
Cloud platform manages unlimited elevators across multiple properties, generates compliance certificates, tracks maintenance history and provides portfolio health dashboard
๐ช
Door Performance Analytics
Optical sensors measure door open and close timing, force and alignment โ detecting door motor wear, misalignment and obstruction sensor degradation before doors fail to close
Market Opportunity
Market size, growth & potential
$4.2B
Global Elevator Monitoring Market 2030
40%
Elevator Breakdowns That Occur Without Any Warning
9.8%
Market CAGR Through 2030
7.5 Lakh
Elevators Operating in India Eligible for LiftLog
Rs.2L+
Average Cost of Single Emergency Elevator Breakdown
100%
Prediction Accuracy in 10-Month Chennai Pilot
Specifications
Technical details & parameters
Prediction Lead Time
2 weeks before breakdown
Prediction Accuracy
96% failure prediction
Sensor Sampling Rate
10,000 samples per second
Health Score Update
Every hour
Connectivity
WiFi + GSM backup
Installation Time
3 hours, no downtime
Compatible Brands
All elevator brands
Pilot Result
Zero emergencies in 10 months
Product Price
โน5 Cr
Choose your purchase option
11% Pre-ordered
โน0 pre-ordered
245
Days Left
11%
Pre-ordered
Product Price
โน5 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 โน5,000,000 ยท Balance โน45,000,000 on delivery
See pre-order breakdownโผ
Product priceโน5 Cr
Buyer pays now (10%)โน5,000,000.00
Creator receives (96%)โน4,800,000.00
Platform fee (4%)โน200,000.00
Balance due on deliveryโน45,000,000.00
Creator receives (96%)โน43,200,000.00
Platform fee (4%)โน1,800,000.00
Buyer pays exact price ยท Platform takes 4% from each payment ยท ๐ Certificate issued
๐
Advance Booking
Advance Booking
Reserve now โ โน2,500,000 ยท Balance โน47,500,000 on delivery
See booking breakdownโผ
Product price (current)โน5 Cr
Buyer pays now (5%)โน2,500,000.00
Creator receives (96%)โน2,400,000.00
Platform fee (4%)โน100,000.00
Est. balance on deliveryโน47,500,000.00
Creator receives (96%)โน45,600,000.00
Platform fee (4%)โน1,900,000.00
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 liftlog@3d-labs.com