Earnix

Earnix is an intelligent decisioning engine for insurance, now positioned as an AI orchestration system purpose-built for the industry, with Earnix AIOS as the named orchestration layer. Its architectural argument is that pricing, rating, underwriting and customer engagement should share intelligence rather than run as separate systems. When they do, a risk selection improvement in underwriting informs pricing and engagement rather than staying trapped in one function, which is the vendor's stated meaning of each solution amplifying the others.

The claims made are unusually specific and therefore testable in a proof of concept. Customers are said to quote 12 times faster than with legacy incumbent solutions. Rate creation time is described as falling to days, down from six months, which is the figure that matters most competitively: an insurer that can change rates in days responds to loss experience while it is still relevant. The vendor also references reductions in filing errors and fines for leading North American insurers, and states that more than 100 of the world's leading insurers already run on it, processing billions of transactions annually.

Governance is treated as a first-class constraint rather than an afterthought, which is appropriate given regulatory scrutiny of insurance pricing. Every decision is described as explainable, auditable and traceable, with real governance built in and applied in real time. That combination is the crux of AI adoption in this sector: an unexplainable model cannot be filed with a regulator regardless of how well it performs. Solutions span pricing, rating, underwriting and customer engagement across multiple personas and lines of business, with results measured in milliseconds. Pricing is not published and evaluation begins with a scheduled demo.