The intelligence layer healthcare was missing.

Ensure is powered by a proprietary Small Language Model purpose-built for healthcare benefits reasoning. Not a chatbot. Not a search engine. A reasoning engine trained on the specific structure of US insurance data.

Plan Data

  • Deductible & out-of-pocket max
  • Copay & coinsurance schedule
  • Network tier structure
  • Formulary & drug coverage

Provider Data

  • CMS quality measures
  • Procedure volume & outcomes
  • Board certifications
  • NPI database cross-reference

Signal Data

  • Patient review corpus
  • Community health forums
  • HCAHPS survey results
  • Real-time availability

A purpose-built language model trained on claims data, coverage structures, quality taxonomies, and patient language. It reasons across all three input streams to produce a unified, explainable score.

Composite provider score (0–100)
Out-of-pocket cost estimate
Quality tier classification
Sentiment summary
Natural language Q&A

A ranked, explainable provider result with per-dimension scores, a real cost estimate, and plain-language reasoning — specific to your plan, your deductible, and your question.

Plan-specific, not generic

We don't give you the average cost of a procedure. We calculate your cost under your plan, with your deductible, at your in-network tier. Every output is personalized.

Small Language Model, not LLM noise

Our SLM is purpose-built for healthcare benefits reasoning. It's smaller, faster, auditable, and purpose-fit — not a general-purpose model prompted to fake expertise.

Multi-signal composite scoring

No single data source is sufficient. Cost without quality is misleading. Quality without sentiment misses the patient experience. We weight and combine all four signals.

Continuously updated

Provider data, quality measures, and plan information are refreshed on a rolling basis. You're never seeing stale data that was accurate two years ago.

< 400ms

SOC 2

99.9%

HIPAA