About Us

About Deepack – Built by Insiders, Made for Manufacturers

Deepack was founded by two industry insiders — both with nearly a decade of hands-on experience in plastic manufacturing. After initially developing our first system as an internal development project, we saw the broader potential. That’s when we decided to turn it into a standalone company.

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Carl Fagerlund

Founder and CEO.

Welcome to Deepack! We train advanced AI models and build them into inspection systems — solving quality control tasks that weren’t possible before.

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Backed by leading programs – trusted by the companies we serve.

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Core Values

Our Values

Rooted in production, driven by people — our values ensure Deepack stays practical, transparent, and always evolving.

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Innovation

We build and test our own AI models to solve real production problems — always working with state of the art methods to stay ahead.

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Integrity

We believe in full transparency — from how our system works to how it's priced. No black boxes, no surprises.

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Customer-Centric

Built by former Machine Operators, Deepack is designed for the people who use it daily — simple, intuitive, and made to fit real production needs.

Product Images Analyzed

1.000.000+

Average Model Precision

98.0%

Support Availability

24/7

Our Team

Meet Our Team

Your Trusted Partner in Simple and Easy to deploy AI Inspection Systems for modern production environments.

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Carl Fagerlund

CEO - Former Operator - Experience in Automation Design, Quality Control and CNC Machining.

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Mads Fagerlund

CTO - Former Operator - Experience in Automation Design, Software development and PLC programming.

FAQ

Frequently Asked Questions

Simple and Easy to deploy AI Inspection Systems for modern production environments.

Deepack can detect complex and unpredictable defects that are common in recycled plastic, such as black specks, short shots, overmoulding, contamination, burn marks, and geometry defects. Our AI model adapts to variation — even without predefined examples.
No. Our system requires as few as 54 unannotated images to begin inspection. This is a massive improvement compared to traditional systems that require thousands of manually labeled samples. It is however important to note that challenging applications typically perform better, the better the data.
Yes — with the right GPU hardware, Deepack can analyze parts in real time down to 0.5-second cycle times, making it suitable for high-speed packaging and manufacturinglines.
Traditional systems rely on rule-based image processing and require reprogramming every time a product changes. Deepack uses AI to adapt to product variation and requires no specialist for setup, making it ideal for agile manufacturers where long and complex setuptimes are out of the question.
Each unit includes a camera, AI edge computer, and software platform for inspection. Customers can purchase the full solution as a one-time investment, with optional software licensing and support packages.
If your quality control process is manual, time-consuming, and affected by frequent changes in product, lighting, or material, Deepack is built for you. Our system is designed to reduce man-hours in visual inspection — especially in high-volume, high-variation environments where traditional systems fall short. We typically start with a discovery call and a pilot to demonstrate time savings and operational impact.
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Explore Smarter Quality Control with Deepack

Discover how AI-driven visual inspection can reduce errors, cut costs, and adapt to your production line — without complex setups.

Book a Demo