CVEDIA solutions include SynCity, the industry leading simulator, custom synthetic datasets, and in-house algorithm training services using CVEDIA synthetic data. Our technology is designed to accelerate machine learning development by making machine learning accessible and uninhibited. With CVEDIA, synthetic data works.
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Control for Bias Synthesize unique condition variables for system validation
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Simulate Edge Case Scenarios Construct tests that are otherwise dangerous or cost prohibitive to explore -
Reduce Data, Annotation, and Storage Costs SynCity’s synthetically generated datasets dramatically reduce project expenses
CVEDIA employs its simulation technology and advanced computer vision theory to build concentrated, high-fidelity synthetic training set packages. Our data science team has put in the time to reduce domain gap by validating our datasets against real world data – creating annotated datasets that are optimized for algorithm training.
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Concentrated and highly entropic Reduce bias through purposefully designed environments
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Fully Annotated 15 annotation types available, and counting
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Validated against real data CVEDIA's synthetic data is successfully training client projects
CVEDIA works with teams interested in creating prototypes or proof-of-concept. Using synthetic data or a mixture of synthetic and real data, our team will train deep learning models to create validated, scalable AI systems. Affordable custom simulations will be tailored precisely to your needs.
We’ll work together to define your requirements, generate and validate data, train AI models, and help you drive significant return on your investment. Developing high performance algorithms is an iterative process and CVEDIA will work parallel to your team objectives to achieve optimal results.
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Minimize timelines Most CVEDIA prototyping projects are complete in 6-8 weeks -
Reduce project requirements Data collection, staffing, and budgeting costs can be dramatically reduced