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Loopr AI

Category: Computer Vision

AI-powered visual inspection software designed to automate and enhance quality control processes in manufacturing. Loopr AI was founded in 2021. The company is led by Priyansha Bagaria. Based in Seattle, USA. Team size: 20+. Total funding raised: ~$6.65M total (all confirmed rounds). Latest round: Series A ($5.4M, Aug 2025 led by Growth Warrior Capital). Key investors include TVF, Alliance of Angels, Keiretsu Capital, Keiretsu Forum.

Founded
2021
Headquarters
Seattle, USA
Team size
20+
Total funding
~$6.65M total (all confirmed rounds)

Value proposition

To reduce the cost, time, and inconsistency of quality inspections, while capturing the expertise of human inspectors to address the challenges of a skilled workforce shortage.

Products and solutions

LooprIQ Inspect: AI software for detecting product defects on manufacturing lines., LooprIQ Assemble: AI software for verifying correct manual assembly of parts.

Unique value

Loopr AI's platform uses a 'human-in-the-loop' system, which allows the manufacturer's own quality inspectors to train the AI models without needing data science expertise. This approach continuously captures and digitizes the domain knowledge of experienced operators, creating a valuable, evolving knowledge base for the company.

Target customer

Manufacturing companies of all sizes, particularly those with manual inspection processes for quality control.

Industries served

Aerospace, Automotive, General Manufacturing

Technology advantage

The core technological advantage is a no-code, camera-agnostic software platform that can be trained on very small datasets (as few as 10-20 images). This significantly reduces the time and complexity of deployment, allowing for rapid integration with existing manufacturing lines and camera systems.

How they differentiate

Loopr AI differentiates itself by providing a human-in-the-loop AI software that is designed for ease of integration and use, particularly for small to medium-sized manufacturing businesses. Their software platform is compatible with commodity hardware, making it a more accessible and affordable solution compared to traditional complex machine vision systems. They focus on reducing inspection time and improving accuracy through a collaborative AI approach.

Main competitors

Cybord, Mariner, Cognex Corporation

Key partnerships

Center for Advanced Manufacturing Puget Sound (CAMPS), TVF, Alliance of Angels, Keiretsu Capital, Keiretsu Forum

Notable customers

While specific customer names are not disclosed, Loopr AI serves clients in the aerospace and general manufacturing sectors.

Major milestones

Successfully raised $1.35M in a seed funding round., Featured in technology publications such as GeekWire., Launched their flagship AI visual inspection software, LooprIQ Inspect., Founder and CEO, Priyansha Bagaria, is a recognized speaker at industry events on the topic of AI in manufacturing.

Growth metrics

Specific growth metrics are not publicly available.

Market positioning

Loopr AI is positioned as an early-stage startup targeting a niche in the quality control market for manufacturing. They are focusing on providing an agile and cost-effective AI-powered visual inspection solution for businesses that may lack the resources for more expensive and complex systems. Their target market includes industries like aerospace and general manufacturing.

Geographic focus

Based in Seattle, USA, Loopr AI's primary geographic focus appears to be the North American market. Their initial media coverage and investor base are concentrated in this region.

Patents and IP

No public information on patents or IP is available at this time.

About Priyansha Bagaria

Previously Chief Revenue Officer at InViz AI, a machine learning consulting firm. Inspired by her experience in her family’s insulation manufacturing business in India.

Official website: