Mimics
Mimics: A medical-imaging workflow for segmenting images, analyzing anatomy and planning procedures. Ranked #2 of 33 in AI Image Segmentation Software by our editors (9.0/10); pricing: Pricing on request; best for medical teams creating anatomical 3D models.
At a glance
- Editor score9.0 / 10
- PricingPricing on request
- Best forMedical teams creating anatomical 3D models
- Free planNo
- Facts checked28 Sep 2026
Where it wins
- Automated segmentation combines with editing, measurement and anatomical analysis.
- Creates 3D models and supports virtual procedure planning and device positioning.
- Python scripting, cloud case sharing and online 3D viewing support team workflows.
Where it doesn't
- Pricing requires a custom offer rather than a published standard price.
- Cloud and desktop components mean capabilities depend on the selected workflow.
- Some capabilities and medical-device versions vary by market and regulatory availability.
Our verdict on Mimics
Mimics supports medical teams that turn medical images into anatomical 3D models, analyze anatomy and plan procedures. Materialise describes it for hospitals, medical device companies, researchers and academia. Its desktop Mimics Core combines automated segmentation with editing, measurement and planning tools; cloud components add case sharing, online viewing and AI-enabled segmentation for supported anatomies. That combination suits workflows centered on patient-specific anatomy rather than general-purpose image segmentation.
The workflow extends beyond drawing boundaries around anatomy. Teams can create 3D models, take anatomical measurements, plan virtual procedures and position devices. Python scripting can automate repetitive workflow steps. Integrations include 3-matic Medical, Abaqus, Ansys and PACS, which connect segmentation and modeling with medical-image access and downstream design or analysis tools. The mix of desktop and cloud capabilities can support different stages of a case, though the particular tools available depend on the product components selected.
According to Materialise's published information, Mimics has no standard software price; subscription pricing requires a custom offer. Buyers should therefore evaluate the clinical or research workflow and discuss the needed configuration with sales before budgeting. The product is a stronger fit for teams that need anatomical modeling, procedure planning and related engineering connections than for buyers seeking a low-cost standalone segmentation utility. Capabilities and medical-device availability can vary by market and regulatory status, so organizations planning clinical use should check the applicable version and availability for their region.
Mimics pricing
Mimics fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Semantic segmentation | Not verified |
| Instance segmentation | Not verified |
| Video segmentation | Not verified |
| Model training | Not verified |
| Deployment options | Cloud |
| API access | Not verified |
| Supported frameworks | Not verified |
| Deployment | Cloud, Desktop |
| Platforms | Windows, Web |
| Support | Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 4 integrations: 3-matic Medical, Abaqus, Ansys, PACS |
| Pricing | Pricing on request |
| Website | materialise.com |
| Facts checked | 28 Sep 2026 |
Mimics integrations
Mimics lists 4 integrations on its own site.
- 3-matic Medical
- Abaqus
- Ansys
- PACS
Alternatives to Mimics
- Intel GetiAn end-to-end workflow for annotating images, training vision models, and exporting to OpenVINO.9.2
- 3D SlicerA free desktop research platform for medical imaging, visualization, segmentation, and analysis.9.0
- Simpleware ScanIPA desktop toolkit for segmenting scans and carrying the results into modeling workflows.8.8
Mimics vs the competition
- Mimics vs Intel Geti
- Mimics vs 3D Slicer
- Mimics vs Simpleware ScanIP
- Mimics vs Aivia
- Mimics vs NVIDIA TAO Toolkit
- Mimics vs CVAT
Compare Mimics with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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