About FabriSight

FabriSight provides an AI-powered visual inspection platform for manufacturers to achieve real-time defect detection and quality control. Its no-code interface allows for rapid deployment and adaptation to new products, enabling faster onboarding and improved operational efficiency.

<problem> Manufacturers face challenges in maintaining consistent product quality and identifying defects in real-time, especially within dynamic production environments. Traditional quality control methods are often labor-intensive, slow to adapt to new product variations, and can lead to costly production downtime and escaped defects. </problem> <solution> FabriSight offers an AI-powered visual inspection platform designed for modern manufacturing environments. The system enables instant defect detection and quality control through a no-code, self-service interface, allowing for rapid deployment and adaptation to evolving production lines and product SKUs. By leveraging minimal image data, the platform can onboard new inspection tasks in minutes, significantly reducing the need for expert intervention and accelerating time-to-value. This approach helps manufacturers improve operational efficiency, reduce scrap rates, and enhance overall product consistency. </solution> <features> - Hardware-agnostic AI vision engine for flexible integration with existing camera setups. - Lighting-agnostic performance, reducing environmental setup complexity. - No-code, self-service platform for visual marking of good products and faults. - Rapid onboarding of new product inspections, requiring as few as five sample images. - Real-time, onsite model adaptation and refinement capabilities. - Automated defect detection and classification during live production runs. - Designed for 10x faster deployment compared to traditional vision systems. </features> <target_audience> The primary target audience includes manufacturing operations managers, quality control engineers, and production line supervisors seeking to automate and enhance visual inspection processes. </target_audience> <revenue_model> Revenue is generated through a subscription-based SaaS model, with pricing tiers likely based on usage volume or feature sets, though specific figures are not publicly disclosed. </revenue_model>

What does FabriSight do?

Where is FabriSight located?

FabriSight is based in 34 Westwyn Crt Brampton, Canada.

When was FabriSight founded?

FabriSight was founded in 1994.

How much funding has FabriSight raised?

FabriSight has raised $1.5M.

Who founded FabriSight?

FabriSight was founded by Amin Ghasemazar, Ph.D..

Amin Ghasemazar, Ph.D. - CEO, Co-Founder

Location

34 Westwyn Crt Brampton, Canada

Founded

1994

Funding

$1.5M

Employees

7 employees

Investors

Forumvc Plug and Play Tech Center

FabriSight

34 Westwyn Crt Brampton, CanadaFounded 1994750+ followers2/10 TractionRelative Traction Score based on online presence metrics compared to companies in the same age group.

Updated 3 months ago

Funding

$1.5M 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.

FVPA

Founders

Product

Problem

Manufacturers face challenges in maintaining consistent product quality and identifying defects in real-time, especially within dynamic production environments. Traditional quality control methods are often labor-intensive, slow to adapt to new product variations, and can lead to costly production downtime and escaped defects.

Solution

FabriSight offers an AI-powered visual inspection platform designed for modern manufacturing environments. The system enables instant defect detection and quality control through a no-code, self-service interface, allowing for rapid deployment and adaptation to evolving production lines and product SKUs. By leveraging minimal image data, the platform can onboard new inspection tasks in minutes, significantly reducing the need for expert intervention and accelerating time-to-value. This approach helps manufacturers improve operational efficiency, reduce scrap rates, and enhance overall product consistency.

Target Audience

The primary target audience includes manufacturing operations managers, quality control engineers, and production line supervisors seeking to automate and enhance visual inspection processes.

Features

Hardware-agnostic AI vision engine for flexible integration with existing camera setups.
Lighting-agnostic performance, reducing environmental setup complexity.
No-code, self-service platform for visual marking of good products and faults.
Rapid onboarding of new product inspections, requiring as few as five sample images.
Real-time, onsite model adaptation and refinement capabilities.
Automated defect detection and classification during live production runs.
Designed for 10x faster deployment compared to traditional vision systems.