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UnitX

UnitX automates in-line visual inspection in manufacturing using deep learning and robotics, significantly enhancing defect detection accuracy and cycle time compared to human inspectors. The technology enables manufacturers to inspect over $2.8 billion worth of products annually, reducing scrap by 3% and improving quality with a ninefold decrease in defect escapes.

San Mateo, PhilippinesFounded 2021815K+ followers
Updated 20 months ago

Funding

$69.6M 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.

Funding rounds are not available yet.

Founders

Product

Problem

In manufacturing, manual visual inspection for defects is slow, inconsistent, and prone to human error, leading to missed defects and increased scrap rates. Traditional machine vision systems struggle with the complexity and variability of real-world manufacturing environments, requiring extensive setup and failing to detect novel or subtle defects.

Solution

UnitX provides an AI-powered in-line visual inspection platform that automates defect detection in manufacturing processes. The system uses deep learning and robotics to identify and classify defects with superhuman accuracy, adapting to new parts, materials, and environments through software-defined lighting and sample-efficient AI. By integrating with existing imaging systems or providing a turnkey inspection solution, UnitX enables manufacturers to inspect products in real-time, reduce scrap, and improve overall product quality. The platform also provides insights into factory operations to optimize processes and maximize yield.

Target Audience

UnitX targets manufacturers in industries such as automotive, EV, battery, consumer electronics, PCBA, connectors, and semiconductors who need to automate visual inspection and improve product quality.

Features

  • **OptiX:** Software-defined lighting system that dynamically illuminates and images parts to enhance defect visibility.
  • **CorteX Central:** AI model training platform that rapidly trains and deploys models optimized for high-yield defect detection using small sample sizes.
  • **CorteX Edge:** Edge computing module that detects and classifies variable defects at high speed for in-line pass/fail decisions.
  • Defect detection and classification for a variety of materials, parts, and positions.
  • Integration with existing imaging systems or as a turnkey inspection solution.
  • Insights into factory operations to improve processes and maximize yield.
This profile is AI-generated and may contain inaccuracies.