Predictive Maintenance AI

Advance with
Zero Downtime
Manufacturing

Simplified AI for predictive maintenance. The Skoro-Sense edge device detects failures before they happen — saving factories crores in downtime costs.

Request a Demo → See How It Works
₹70L
Lost per hour of downtime
81%
Cost reduction with Skorosys
34.5%
Market CAGR by 2030
Skoro-Sense Device
The Problem
Downtime: The Silent
Revenue Killer

70% of plants in India wait for failures before performing maintenance — a costly and preventable approach to asset management.

💸
₹70 Lakh
Lost per hour during unexpected equipment failures
⏱️
8–48 hrs
Time taken to restart the system after failure
🏭
70%
of plants in India wait for failures before maintenance
📉
₹100+ Cr
Annual downtime costs across manufacturing plants
How It Works
The Smart Maintenance
Revolution
01
Asset Data Collection
Skoro-Sense probe clips onto rotary machinery and collects high-frequency MEMS vibration data at the edge — no cloud latency, no data privacy risk.
02
Edge ML Inference
An on-device ML model processes vibration signatures in real time, detecting anomalies and predicting failure patterns before they escalate.
03
Cloud Orchestration
Models are containerised with Docker and orchestrated via cloud — enabling remote updates, fleet management, and cross-site analytics.
04
Skoro-Board Dashboard
Maintenance engineers get a live health dashboard per asset — with failure predictions, trend graphs, and actionable alerts on one screen.
🔩 Rotary Machine Asset
↓
📡 Skoro-Sense Edge Device
MEMS Vibration Sensor + Preprocessing
↓
🧠 Skorosys ML Model
Predicts Failure at the Edge
↓
☁️ Cloud Orchestration
Docker Container · Model Updates · Fleet Mgmt
↓
📊 Skoro-Board Dashboard
Health Monitoring · Alerts · Analytics
Our Products
Two Products,
One Complete Solution

Skoro-Sense captures the data. Skoro-Board makes it actionable. Together they deliver predictive intelligence from factory floor to management dashboard.

Hardware
Skoro-Sense

An industrial-grade edge sensor probe with embedded MEMS vibration sensing and on-device ML inference. Designed for rotary assets in harsh manufacturing environments.

  • MEMS high-frequency vibration sensor
  • Embedded microprocessor + ML runtime
  • Edge inference — no cloud dependency
  • Docker containerised model updates
  • IP-rated for industrial environments
  • ₹20,000 per sensor (one-time CapEx)
Software Platform
Skoro-Board

A cloud-connected SaaS dashboard giving maintenance engineers real-time health visibility across all assets — with AI-powered failure predictions and trend analysis.

  • Real-time asset health monitoring
  • AI failure prediction with confidence scores
  • Multi-site asset management
  • Maintenance alert & escalation system
  • Historical trend analysis & reporting
  • ₹5,000 per asset/month (SaaS OpEx)
Monetization
Flexible Plans for
Every Factory
One-Time CapEx
Hardware
₹20,000
per sensor
Edge sensor device with embedded ML preprocessing. Install once, monitor forever.
Recurring OpEx
SaaS Board
₹5,000
per asset / month
Full cloud platform access, monitoring dashboard and real-time alerts.
Add-on OpEx
AI Insights
₹3,000
per asset / month
Advanced AI failure prediction models with confidence scoring and root cause analysis.
Bundled OpEx
HaaS
₹2,000
per sensor / month
Hardware access + maintenance bundled. Zero upfront investment for the factory.
Customer ROI
The Numbers Speak
for Themselves
Without Skorosys
₹1.12 Cr
per asset annually
VS
With Skorosys
₹21 Lakh
per asset annually
₹91 Lakh saved
per asset annually — 81% cost reduction
Market Opportunity
India's ₹30,400 Cr
Maintenance Revolution
₹30,400+ Cr
Total Indian Predictive Maintenance Opportunity
3.38M
Industrial assets across process manufacturing sectors
10,000+
Skorosys-ready plants in 3-year deployment pipeline
34.5%
Market CAGR through 2030
Target Industries
Chemical & Petrochem
Food & Beverage
Steel & Metal
Pharmaceuticals
Cement & Construction
The Team
Built by Industry Experts
UC
Ujjwal Chebbi
Co-Founder · Business & Growth
10+ years in Industrial Automation, Manufacturing & IIoT. Leads business strategy, operations, and go-to-market.
VC
Varun Chebbi
Co-Founder · Engineering & AI
PhD in Industrial AI. 5+ years in Industrial Automation & IIoT. Leads product engineering and ML development.

Ready to Eliminate
Unplanned Downtime?

Join chemical plants, food manufacturers, and pharma companies already saving crores with Skorosys.

Request a Demo → Investor Enquiries