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Optimise, qualify and scale your vision system by controlling your data
Realistic augmentations with customisable human-centric scenarios simulated in 3D scenes recreated from your own imagery. More volume of data in less time with less effort.
- Higher performance with pixel-perfect annotations in the exact same scenes the system will operate in, no digital twins
- Comprehensive coverage of demographics, body shapes and poses, rare scenarios and edge cases
- Compliance with regulations, data privacy and functional safety
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Use cases across industries
Automotive
Robotics
Security
Warehouse
Defence
Elevate your vision system
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Obtaining the best of both worlds
Fully synthetic data is precise and highly controllable but can lack the visual properties of the application data. Our solution provides datasets that are representative of the real data with precise annotations.
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More than datasets with data
Besides high-quality labels, get control of the statitical attributes of your datasets. Probability distributions, demographics, occlusion rates, and more while both ensuring data diversity and mitigatating biases.
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Streamline the data collection and annotation processes
Save resources and enginnering teams' time by digitising the physical production of target scenarios and removing the need of human annotators and iterative label reviews.
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Comply with regulatory requirements
The generated data will help your business address regulatory requirements like GDPR and CCPA. Eliminate the risks of reproducing hazardous scenarios that your system needs to be trained on and tested against.
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Diverse and custom label categories
Train, validate and test your models with a diverse set of labels, common 2D and 3D annotation modalities being supported.
Questions and special inquiries
Feel free to contact us for further information, technical discussions, or to explore potential collaborations.
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