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Spiral Technology

AI visual inspection and AR defect logging for industrial quality control. Inventor and Roboscope help manufacturers inspect faster and cut

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Overview

AI visual inspection and AR defect logging for industrial quality control. Inventor and Roboscope help manufacturers inspect faster and cut rework.

AI summary

Spiral offers AI-driven visual inspection and augmented reality (AR) defect logging aimed at enhancing industrial quality control processes. It allows manufacturers to automate inspections, reducing manual errors and rework through real-time feedback and defect tracking.

Key Features

  • Automated visual inspection with no manual labeling required.
  • Real-time pass/fail verdicts with failure reasons tied to acceptance criteria.
  • AR defect logging that anchors defect markers directly to physical surfaces.
  • One-shot annotation for training data collection, propagating labels across datasets.
  • Custom-trained vision models for detecting and measuring surface defects.

Who Is It For

Target audience

Quality control and operations teams in manufacturing companies, particularly those involved in high-mix, low-volume production.

Best for

Manufacturers seeking to improve quality control processes through automation and AR technology, particularly in high-mix, low-volume production environments.

Not for

Organizations that require a free plan or trial, or those looking for solutions that integrate with a wide range of platforms beyond what is currently offered.

Strengths & Weaknesses

Biggest strength

The ability to automate visual inspections using standard iPhones and iPads, which enables flexibility and ease of use on the shop floor.

Biggest weakness

Limited visibility into pricing and availability of free plans or trials, which may deter potential users from exploring the tool further. (AI-inferred; may be outdated – founders can correct this)

Classification

Likely competitors
CognexKeyenceOmronSiemens

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How we sourced this: Observed fields () were crawled from https://spiral.technology and are stated as fact. AI-inferred fields () were generated by gpt-4o-mini and are always labelled – never presented as measured fact. Last updated: 29 July 2026. Is this your tool? Claim it to edit and get a do-follow badge.