Co-Founder & CEO
S
SixSense
The startup develops a defect analytics platform for image-based industrial applications, utilizing deep learning, computer vision, and IoT analytics to detect and predict defects. This self-learning solution enhances defect classification accuracy, reducing misclassifications and improving manufacturing quality control.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Industrial Automation
- Software Only
Updated 21 months ago
Funding
Raised to date
$4.9MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Manufacturers face high costs associated with manual and rule-based visual quality inspection, leading to misclassifications and inefficiencies in defect identification. Existing methods struggle to process the increasing volume of images generated in modern manufacturing, hindering real-time defect analysis and prediction.
Solution
SixSense offers an AI-powered defect analytics platform that automates and enhances visual quality inspection in manufacturing. Leveraging computer vision, deep learning, and IoT analytics, the platform reviews and classifies defects, eliminating misclassifications and reducing overkill. By scanning millions of images at high speed, SixSense identifies defects at scale and predicts potential failures by monitoring equipment in real-time. The platform integrates seamlessly into existing solutions, providing intuitive dashboards, real-time alerts, and streamlined root cause analysis.
Target Audience
The primary target audience includes manufacturers in high-tech industries, with a focus on semiconductor manufacturing, seeking to improve quality control and reduce costs associated with visual inspection.
Features
- classifAI: Automated defect classification using computer vision and deep learning to eliminate misclassifications.
- causifAI: Root cause analysis software that scans factory data to identify equipment or process issues causing defects.
- predictAI: Intelligent defect prediction powered by IoT analytics to monitor equipment and predict anomalies.
- Real-time integration: Seamless integration into existing manufacturing solutions.
- Dashboard analytics: Intuitive GUI for visualization of results and user feedback.
- Email & mobile alerts: Immediate notifications of important events on the factory floor.