Expand Your Data. Explore What’s Missing. Unlock New Possibilities.
Boltz AI™ learns from your data — even if sparse, incomplete, or imbalanced — to generate realistic, privacy-safe datasets that preserve statistical relationships while protecting sensitive information.
Why Synthetic Data?
Real-world data is often messy: incomplete, limited, expensive to collect, or too sensitive to share. Boltz AI™ Synthetic Data Generator overcomes these barriers by learning from your samples and producing new, high-fidelity datasets for safe and scalable use.
- Controlled Data Generation: Create datasets that emphasize rare conditions, edge cases, or patterns that are otherwise underrepresented.
- Safe Replication: Train Boltz AI™ on proprietary or regulated data to generate privacy-preserving datasets that mirror the joint distribution of the original — without exposing the source.
- Labeling and Augmentation: Generate realistic labeled datasets or rebalance small and imbalanced samples to improve model generalization.
- Privacy by Design: Replace sensitive records with synthetic equivalents to comply with frameworks like HIPAA or GDPR.
- Filling Gaps: Impute missing records or produce entirely new datasets where data is incomplete.
- Prototyping and Development: Build models, dashboards, or simulations even before production data becomes available.
Whatever the use case, Boltz AI™ helps you explore possibilities and extend the reach of your data safely and at scale.
Application Areas
Healthcare
Generate synthetic patient records to train models or simulate workflows when real data is incomplete or costly.
Pharmaceutical
Create synthetic trial populations, control groups, or recruitment datasets to accelerate research safely.
Financial
Stress-test systems, simulate anomalies, and replicate financial behavior at scale without exposing sensitive data.
Market Research
Replicate hard-to-reach populations, simulate demand, and amplify patterns beyond the limits of real-world samples.
Safety & Security
Model rare events, cybersecurity threats, or infrastructure stress scenarios to prepare for the unexpected.
Retail & Recommendation
Simulate customer journeys and purchase patterns to improve personalization and targeting.