Mazlite provides an automated inline monitoring platform for industrial spray and powder manufacturing processes. This system uses sensors and AI-powered software to digitize spray characteristics, detecting defects and equipment faults in real-time. The platform optimizes atomization settings to improve transfer efficiency, ensure consistent film thickness, and accelerate new process development.
Funding
$554.1K 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
Inconsistent spray quality in industrial coating processes leads to defects, material waste, increased emissions, and higher production costs. Traditional quality control methods often fail to detect subtle variations in spray characteristics that can significantly impact the final product. Furthermore, developing and optimizing spray processes can be time-consuming and require extensive trial and error.
Solution
Mazlite offers an AI-powered platform that provides real-time monitoring and optimization of industrial spraying processes. The platform utilizes a sensor to capture high-resolution images of sprays and powders, while proprietary AI algorithms analyze spray characteristics, detect defects, and recommend process corrections. By digitizing spray manufacturing, Mazlite enables manufacturers to improve first-time quality, reduce material waste, minimize emissions, and accelerate product launches. The platform integrates with PLCs, robots, and QA/QC sensors to enable a fully automated production line.
Target Audience
Mazlite's primary customers are automotive manufacturers, industrial coating companies, pharmaceutical companies, and other manufacturers that rely on spray coating processes.
Features
- Inline monitoring of spray processes with real-time, actionable feedback
- AI-powered optimization of spray parameters, including transfer efficiency, robot painting speeds, and color tolerance
- Defect detection algorithm that identifies process changes, such as chemistry changes, damaged atomizers, and viscosity shifts
- High-resolution imaging of sprays and powders in extreme and hazardous environments
- Integration with PLCs, robots, and QA/QC sensors for comprehensive process control
- Browser-based user interface accessible on computers, tablets, and phones
- Capability to measure droplet size, spray pattern, film thickness, and color shift
- Automated data collection and analysis, eliminating the need for manual labor