RMAS

RMAS

RMAS was incorporated in 1987 by Robert M. Schultz to formalize a risk-management software practice serving the property and casualty insurance industry. Schultz built the firm around a single, continuously refined product suite that stitched actuarial loss-forecasting models into operational workflows for claims, underwriting, and captive management. The business never diversified into general enterprise resource planning or broad fintech — it stayed inside the narrow, high-stakes lane of probabilistic liability estimation. Schultz's approach centered on direct sales to risk managers and chief financial officers at large corporations with material self-insured exposures, alongside mid-market insurers lacking in-house actuarial tooling. The platform calculates loss-development factors, outcomes-tail probabilities, and funding-adequacy scenarios for workers' compensation, general liability, and auto liability lines. Clients run simulations on their own books rather than receiving consulting outputs — the software embeds the actuarial method directly. Typical deployments span single-state captives to multi-line, multi-jurisdiction insurance programs. No public headcount or revenue figures exist for RMAS, and it appears to have grown incrementally without external capital or acquisition. Its client base reflects the long-tail nature of loss reserving — accounts stay for decades because switching risk-modeling engines mid-cycle introduces regulatory and audit friction. The firm's presence is concentrated in North America, particularly among midwestern and western US insurers and captive managers. RMAS functions less like a contemporary SaaS startup and more like a specialized professional instrument manufacturer. It doesn't use a subscription-growth playbook; it sells a compliance-critical utility to an industry where the buyer's cost of getting a reserve estimate wrong can trigger regulatory intervention. That makes the business durable through underwriting cycles in a way advisory-led competitors are not.