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3V

36ZERO Vision

36ZEROVision provides an AI-powered visual inspection system that utilizes deep learning for error pattern recognition to identify defects and anomalies in manufacturing processes. This hardware-agnostic solution enhances quality control by enabling zero-defect production while requiring no coding expertise for setup.

Munich, GermanyFounded 2019181K+ followers
Updated 20 months ago

Funding

$3.8M 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.

JC
Funding rounds are not available yet.

Founders

Product

Problem

Manufacturers often struggle with quality control due to defects, anomalies, and missing parts in production, leading to recalls, increased costs, and worker dependency. Traditional visual inspection methods can be inconsistent, labor-intensive, and may not catch subtle errors, especially in high-volume production environments.

Solution

36ZEROVision offers an AI-powered visual inspection system designed to automate quality assurance and control processes. The system uses deep learning for error pattern recognition, enabling the identification of defects, anomalies, and missing parts at a pixel level. This solution is hardware-agnostic, allowing integration with both new and existing setups across various industries and product types. The no-code, self-service platform simplifies the setup of individual quality inspection applications, eliminating the need for coding expertise or specialized skills. By automating visual inspections, 36ZEROVision helps manufacturers achieve zero-defect production, improve quality, increase productivity, and reduce the risk of recalls.

Target Audience

The primary target audience includes manufacturers across various industries seeking to automate and improve their quality assurance and control processes, as well as system integrators focused on visual fault inspection.

Features

  • AI-powered visual inspection using deep learning for error pattern recognition
  • No-code, self-service platform for easy setup and use
  • Hardware-agnostic solution compatible with existing and new camera hardware
  • Web platform accessible from any workstation for secure image uploads and algorithm training
  • Identifies defects, anomalies, missing parts, and industrial text on a pixel level
  • Continuous improvement of the vision AI through human feedback
  • Easy integration into existing production systems
  • Can use CAD files for algorithm setup to reduce image taking time
This profile is AI-generated and may contain inaccuracies.