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Visceral.Vision

Visceral.Vision provides a CAD-based visual inspection platform that lets manufacturers start automated quality control in minutes by uploading a CAD file and connecting existing cameras. The system compares live captures against the CAD model as ground truth, detecting missing, misaligned, or out-of-tolerance components in real time without any ML training. New products require only uploading a new CAD file, and the platform works with any camera, uploaded images, or phone photos via QR code capture.

Traction –/10
San Diego, United States · HQ
1
  • Manufacturing / Industry 4.0
  • Industrial Automation
  • Artificial Intelligence
  • Software Only
Updated 4 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional machine vision inspection systems require extensive ML training, specialized hardware, and months of setup time before they can detect defects. This makes automated quality control inaccessible for many manufacturers, forcing them to rely on manual inspection that is slow, inconsistent, and cannot cover every unit.

Solution

Visceral Vision provides a CAD-based visual inspection platform that lets manufacturers start automated quality inspection in minutes, not months. Users upload their CAD file, which the system automatically parses to extract component geometry and assembly structure, and connect any existing camera, uploaded image, or phone photo stream. The platform compares live captures against the CAD model as ground truth, detecting missing, misaligned, or out-of-tolerance components in real time. When a new product is introduced, operators simply upload the new CAD file—no retraining or machine learning expertise required. The system provides instant visual feedback, tracks pass/fail rates across shifts and stations, and maintains full traceability for every inspection event.

Target Audience

Primary customers are manufacturing and assembly operations that need fast, flexible visual quality inspection without investing in specialized machine vision hardware or ML expertise.

Features

  • CAD-as-ground-truth approach eliminates ML training; new products only require uploading a new CAD file
  • Works with any camera, uploaded images, or phone photos via QR code capture—no special hardware required
  • Real-time alerts for missing, misaligned, or out-of-tolerance components with instant visual feedback
  • Automatic extraction of component geometry and assembly structure from uploaded CAD files
  • 100% inspection coverage on every unit with full traceability linked to station, unit, and timestamp
  • Trend monitoring across shifts and stations to spot regressions and drive continuous improvement
This profile is AI-generated and may contain inaccuracies.