Earnix for Insurance Pricing and Rate Management

In-Depth Review

Earnix was founded in 2001 in Tel Aviv, making it one of the oldest companies in the insurance AI space. While newer competitors focus on submission scoring and underwriting workflows, Earnix has spent over two decades building pricing analytics for carriers who need to connect actuarial models to production rating engines while managing regulatory constraints.

What Earnix Does

The platform sits at the intersection of actuarial science and IT operations. In most carriers, actuarial teams build pricing models in R, Python, or SAS, then hand them off to IT teams who manually translate those models into rating tables or rating engine configurations. This handoff is slow, error-prone, and creates a bottleneck that means rate changes take months to reach production.

Earnix eliminates that handoff. Actuarial teams build and test their models in the platform, then deploy them directly to the production rating engine. The models execute in real time at the point of quote, meaning rate changes can be implemented and adjusted with a speed that manual processes cannot match.

Rate Optimization and Elasticity

Beyond model deployment, Earnix provides rate optimization tools that help actuaries find the right price point for each customer segment. The platform models price elasticity, showing how different rate levels affect retention, new business conversion, and profitability. This is not theoretical: the models use the carrier’s own policy and claims data to predict behavioral responses to price changes.

Portfolio simulation extends this by projecting the full-book impact of a proposed rate change before it goes into effect. An actuary can model a 5% rate increase in a specific segment and see the projected impact on premium volume, loss ratio, and policy count across the entire book. This is particularly useful when preparing regulatory filings, as it provides documentation supporting the actuarial justification for the rate change.

Regulatory Compliance

For US carriers, the regulatory compliance engine is often the feature that drives the purchase decision. Insurance pricing in the US requires state-by-state rate filings, each with its own rules about permissible rating factors, rate caps, prior approval requirements, and anti-discrimination constraints. Managing this manually across 50 states is time-consuming and risky.

Earnix checks proposed rate changes against each state’s regulatory requirements before deployment, flagging violations that would result in a filing rejection or regulatory action. For carriers operating in 20 or more states, this automation alone can justify the platform investment.

Scope Limitations

Earnix is a pricing tool. It does not score submissions, enrich application data, or route work to underwriters. Carriers evaluating Earnix should understand that it addresses the “what should we charge?” question, not the “should we write this risk?” question. Most carriers running Earnix pair it with separate tools for submission intake and underwriting workflow.

Who Should Evaluate Earnix

Carriers with actuarial teams of five or more who are currently managing pricing in spreadsheets or disconnected modeling environments. The platform’s value increases with the number of states, lines of business, and rating variables the carrier manages. Smaller carriers with simple rate structures or those operating in a single state may not need the platform’s full capability.

Ask for a demonstration using your own rating variables and state footprint. The regulatory compliance module’s value is directly proportional to the complexity of your filing requirements.