Register first • complete census • choose the right depth of analysis
More than a price list
Quote the workforce. Understand the risk. Choose the strategy.
Employers and brokers register before submitting a complete census. We can start with a basic ICHRA quote, expand into a full feasibility analysis, or add pre-quote claims and prescription intelligence.
The complete censusMinimum data for every covered person
- Name
- Date of birth
- Relationship to employee
- Home ZIP code
Include the employee, spouse and each dependent requesting coverage. Submit census data only through the secure request process.
Three ways to start
Choose the answer you need.
Registration and a complete census are required before employer or broker quote processing.
BASIC QUOTEICHRA Quote
No charge
See available individual-market premiums for the employee and covered family.
- Complete census required
- Age and home-ZIP pricing
- Employee and household view
Request Basic QuoteSTRATEGYICHRA Feasibility Analysis
From $1,000
Compare group and ICHRA economics before choosing an administrator.
- Contribution and affordability modeling
- Employee and family impact
- Group, ICHRA, classes or split strategy
Request FeasibilityPRE-QUOTE INTELLIGENCEPredictive Risk Intelligence
From $5,000
For eligible groups, see authorized, de-identified claims and Rx signals before the funding recommendation.
- Projected claims and claimant ranges
- Prescription and specialty-Rx signals
- Conditions, morbidity and data confidence
Add Risk Intelligence Minimum quote fields- Names
- Dates of birth
- Relationships
- Home ZIP codes
What changes the decision
See the claims and prescription story before the quote.
A traditional quote begins and ends with premium. For eligible groups, our intelligence can add a forward-looking population view before deciding among ICHRA, traditional group, employee classes or a split plan strategy.
Medical claimsProjected 12-month risk and high-cost claimant ranges.
Prescription patternsSpecialty drugs, GLP-1s, recency and emerging pressure.
Clinical conditionsCondition clusters, morbidity and population drivers.
Data confidenceMatch quality, population completeness and limitations.