The startup develops artificial intelligence and industrial IoT systems that utilize automated vision-based technology and predictive maintenance to detect quality issues in manufacturing processes. By integrating with existing software and hardware, the system enhances production efficiency and accuracy while reducing operational costs for manufacturing companies.
Funding
$2.6M raised to dateRaised 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.
Founders
Product
Problem
Many manufacturers struggle with inconsistent quality control due to manual inspection processes, leading to defects, waste, and increased operational costs. Traditional methods often lack the speed, accuracy, and traceability required to meet modern production demands. Detecting complex defects, especially at scale, can be challenging and time-consuming.
Solution
Lincode offers an AI-powered visual inspection system, LIVIS, that automates quality control processes for manufacturers. The system uses automated vision-based technology and predictive maintenance to detect quality issues with high accuracy and precision. LIVIS integrates with existing software and hardware to enhance production efficiency, reduce waste, and improve data tracking capabilities. The platform enables manufacturers to select product-specific AI models, easily capture and annotate images, and deploy visual inspection AI across multiple workstations globally, providing real-time analytics reports and 100% traceability.
Target Audience
The primary target audience includes manufacturers in the automotive, electronics, aerospace, and other industries seeking to improve quality control, reduce waste, and increase production efficiency.
Features
- AI-powered visual inspection system for automated quality control
- Defect detection with high accuracy and precision, reducing false positives to 0-4 parts per million
- Pre-combined datasets for product-specific AI model selection
- Image capture and annotation capabilities via an AI interface
- Global deployment of visual inspection AI across multiple workstations
- Real-time analytics reports and 100% traceability
- Integration with robotic systems for automated pick and place
- Rapid deployment in less than 30 days