Industry Solutions
Tailored AI assurance solutions for your industry's unique challenges and regulatory requirements.
Financial Services
Industry Solutions
Take your financial data further — generate, anonymize, and simulate diverse datasets for financial statements, fraud detection, risk modeling, compliance testing, and model fine-tuning. Starting from your own samples. Your data never has to leave.
Key Benefits
- Your data never has to leave – Run experiments on synthetic data inside your own environment — cloud or on-prem. No compliance violations, no governance risk.
- Accurate outputs at scale – In-built revision loops enforce distribution accuracy and schema fidelity across high-volume outputs — not just sample checks.
- Control your distributions – Analyze seed samples and define exactly what you need — fraud ratios, demographic splits, regional variance, time periods. Your output reflects your world, not a generic one.
Healthcare and Life Sciences
Industry Solutions
Bridge gaps in clinical trials, enable PHI-safe AI training, and unlock new possibilities for medical research and care.
Key Benefits
- Skip the IRB Bottleneck – Train and test models without waiting months for data access approvals
- HIPAA/HITRUST Compliant by Default – Synthetic records contain no real patient data, eliminating PHI exposure risk
- Fill Gaps in Rare Disease Data – Generate cohorts for conditions where real patient data simply doesn't exist in volume
Insurance
Industry Solutions
Take your insurance data further — generate, anonymize, and simulate diverse datasets for claims automation, fraud detection, underwriting models, and compliance testing. Starting from your own samples. Your data never has to leave.
Key Benefits
- Your data never has to leave – Generate and anonymize inside your own environment — cloud or on-prem. No compliance violations, no data movement risk.
- Accurate outputs at scale – In-built revision loops enforce distribution accuracy and schema fidelity across high-volume outputs — not just sample checks.
- Control your distributions – Analyze seed samples and define exactly what you need — fraud ratios, claim severity distributions, demographic splits, regional variance. Your output reflects your world, not a generic one.
Tech
Industry Solutions
Take your own data further — generate, anonymize, and simulate diverse datasets for eval calibration, RAG testing, agent evaluation, and LLM fine-tuning. Starting from your own samples. Diverse, distribution-tuned datasets.
Key Benefits
- Starts from your data – Diverse, distribution-tuned datasets. Seed-based generation preserves your schema, distributions, and constraints — outputs behave like your data because they were built from it.
- Distribution control – Define exactly what you need — edge case density, demographic splits, scenario weighting, output volume. Your eval set reflects your world, not a generic one.
- Verify before it touches your model – Compare expected vs generated distributions. Chat with your dataset. Catch distribution drift before it reaches your pipeline.
Don't See Your Industry?
Our AI assurance solutions can be customized for any industry. Contact us to discuss your specific needs and requirements.