why loopr
A case for better implementation of AI solutions.
Easy to Use Platform
Works with teams and projects of all sizes
Industry-Specific Models
100+ models ready to be deployed across industries
Use cases
Solutions that increase safety, dependability, and customer satisfaction.
01
Predictive Maintenance
ML powered predictive analysis to improve machine uptime by ensuring on time maintenance .
02
Quality Control
AI powered defect detection to assure required quality standard for the products.
03
NLP Solutions
Scrape data from documents to make more informed decisions about supply chain issues and benchmark rates.
04
Inventory Management
Optimize inventory and logistics operation by using AI enabled tracking system through computer vision.
05
Safety Monitoring
Ensuring safety protocols are being followed by the front line workers using computer vision.
06
Offline Heatmaps
Identify and investigate defective regions, monitor workers and process movement.
Case Studies
How we helped create a more accurate and cost-effective Steel Defect Detection system.
The error detection process in a Steel manufacturing firm was entirely manual. This made it tedious, very repetitive and prone to bias.
We created an AI powered defect detection SaaS to speed up the process drastically, and increase accuracy by storing and reusing past judgements.
20
Images/ second. maximum QC tests processes
500ms
per image, down from 2-5 seconds
21%
accuracy achieved in the process
Other Industries
See how Loopr's solutions are transforming a variety of industries
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