Smarter Device Development with

Human Digital Anatomy

DARERL gives you access to digital anatomy based on real human bodies. Built for teams developing wearable and medical devices, our models are highly precise, customizable, and scalable with over 1000 anatomical variations per body part. Design, test, and validate your devices faster and minimize risks.

Our Models

Revolutionizing Testing Through the Power of Digital Models.

Our digital anatomies support businesses in testing, comparing and validating device designs. Optimize fit, explore variation and refine your device – on as many subjects as you want. Over and over again. Use our models in any stage of your development – from early design concept to clinical use.

We Assist you Along the Way

Consultation & Project Scope

Purpose: We would like to understand your goals, project & context.
Deliverables: Project Proposal, Timeline, Deliverables, Price Sheet, Offer

Subject Selection & Scan

Purpose: We want to select the right population for your design - choose ethnicity, demographics
Deliverables: DARERL gets access to a dataset of medical scans of subjects

Model Development & Integration

Purpose: We bring our scans to life by creating high fidelity models
Deliverables: 3D model delivery in file format, coming in different packages (5-100)

Optional: Software

Purpose: Get our newly developed software to enhance the usage of our models
Deliverables: Software Package incl. models (yearly subscription), world class support

Our Purpose

We’re passionate about empowering device innovators – whether in healthcare or consumer wearable – to move faster with greater confidence. By leveraging Human Digital Anatomy, your team can explore, refine, and validate designs before building physical prototypes, reducing cost, accelerating timelines, and ultimately delivering safer, better products.

Collaborating with Market Leaders

Powering Progress with our Partners in Innovation.

For Medical Device Development

For Wearable
Designs

"No Similar Solution Exists"

“We’ve searched for a solution like this for years. We even considered building models ourselves, but DARERL gives the possibility to be years ahead.”​
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Medical Device Company

2025

"Very Impressive"

“This is the first time we’ve seen software this powerful for anatomical validation. It’s hard to believe it didn’t exist before.”
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Clinical Research Organization

2025

"Insights Like Never Before"

“DARERL’s models gave us human insight without the need for physical testing. We can now fine-tune comfort, fit and camera placement earlier and much faster.”
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Wearable Technology Innovator

2025

Design with Human Diversity in Mind.

Our models reflect a wide population range, capturing variations in size, shape, and structure, so you can test your device across human differences from the start.

Why Choose Digital Anatomy

Faster Design Cycles

Shorter iteration loops through virtual testing on anatomical models help teams refine designs early, without the delays of physical prototyping.

Early Anatomical Validation

Test shape, fit, and performance on diverse, realistic human anatomies from the start. Identify potential issues before they become costly.

Real-World Data, Real Results

Leverage accurate, population-based human data. Assess device behavior across large anatomical variations with confidence.

Cost and Compliance Benefits

Cut prototyping costs and reduce the need for animal or human testing. Build stronger regulatory cases with detailed simulation evidence.

A Legacy of Innovation.
From 2011 until Today.

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Hours of Research

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Years of Development

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Models Created

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Simulations Run

The Minds behind the Models.

Get in Touch

Let’s shape the Future of Testing – Together.

Ready to see how we can support?


Schedule a meeting to explore the possibilities of digital human twin technology. We’ll show you how our models can transform your development process and answer all questions you may have.

Latest Press Articles

28. Feb 2025 - HQColon: A Hybrid Interactive Machine Learning Pipeline for High Quality Colon Labeling and Segmentation

"High-resolution colon segmentation is crucial for clinical and research applications, such as digital twins and personalized medicine. However, the leading open-source abdominal segmentation tool, TotalSegmentator, struggles with accuracy for the colon, which has a complex and variable shape, requiring time-intensive labeling. Here, we present the first fully automatic high-resolution colon segmentation method. To develop it, we first created a high resolution colon dataset using a pipeline that combines region growing with interactive machine learning to efficiently and accurately label the colon on CT colonography (CTC) images."

View Paper on arXiv

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