AI decision analytics for real-world organizations.

For US health plans and providers.

In healthcare, an AI-assisted decision can decide whether someone gets care, and someone has to be able to prove a person made it. That is the hardest test AI faces anywhere, so it is where we start.

Key use cases

• Prior authorization review
• Claims audit
• Vendor update impact
• Regulatory reporting

Open the healthcare use case →

For trial sponsors, research teams and biotechs.

AI now screens patients for trials, reviews research records and flags results. We show whether a person checked its work, whether a model update changed the results at any site, and whether some records are screened unfairly.

Key use cases

• Trial eligibility pre-screening
• Research workflow review
• Model update impact
• Data quality checks

For owners and leaders of growing businesses.

AI answers customers, books jobs and drafts quotes. We show how much time and money it really saves, which tasks are safe to hand over, and who is responsible when it goes wrong.

Key use cases

• Time and cost savings
• What to hand to AI
• Error and refund tracking
• Who is responsible

For founders building or selling AI.

Customers, security reviewers and investors ask how your AI performs. We give you the evidence: accuracy over time, what changed when you switched models, and where people still check the work.

Key use cases

• Model switch impact
• Accuracy and error tracking
• Evidence for security reviews
• Evidence for investors