Ace Synthetic
Maintain Synthetic Case Integrity
Clean sensitive and complex multimodal data while preserving case integrity and feature maps.
Data Abundance
Multimodal synthetic cases, effortlessly
Realistic, feature-preserving datasets. Easily create datasets reflecting real-world complexity for accurate QA without patient risks.
Healthcare
Health Insurance
Insurance
Government
Synthesize real-world complexity
Produce complex, multimodal, and feature-sensitive scenarios in healthcare, insurance, and government.
Dynamic Environments
Deploy test environments with clean, synthetic data at the push of a button.
Comprehensive analysis of multimodal features
Analyze structured & unstructured data to handle complex claims, name changes, and recurring admissions.
Keep data relationships and feature maps
Preserve the intricate relationships in multimodal data from claims, diagnoses, and procedures for downstream QA and analytics.
Meaningful Anonymization
Remove PHI/PII while preserving useful clinical details.
Preserve Patient Continuity
Ensure linked claims remain consistent, even with name changes or nicknames.
Enterprise Workloads
Quickly stand up new test environments from a central, well-maintained data pool.
Representative Synthetic Datasets
Generate data that mirrors real-world complexity for accurate QA and development.
Validate Complex Scenarios
Test readmissions, duplicates, and other intricate patterns with confidence.
Streamlined QA Integration
Reduce manual steps, enabling rapid testing and validation workflows.
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