Crop Insurance Quoting, Minus the Chaos
Crop insurance quoting was fragmented across carriers, systems, and manual steps. Acrelyze brought in Modernize to build the platform that brings it all together — purpose-built for how agents actually work in the field.

Decades of carrier relationships and agent workflow knowledge went into the design. The platform reflects how this work actually gets done, not how an outside software vendor imagines it does.
Quoting crop insurance for a farm operation meant navigating a different system for every carrier — each with its own login, its own format, and its own output that couldn’t be compared directly to anything else. Agents working in the field with farm clients had no way to build a complete picture without stitching together data from multiple sources by hand.
The result was predictable: quote generation was slow, comparative analysis was difficult, and historical performance data wasn’t accessible in a useful form for most products. Supplemental coverage — which offers real value to farm operators and meaningful margin for agents — was being systematically undersold. Not because agents didn’t understand it, but because the tooling made the case for it too time-consuming to build at the point of decision.
Acrelyze is backed by established insurance agencies with deep carrier relationships and decades of agent workflow experience. We built the platform around that expertise — starting with four principles: one interface for all carriers, real-time comparative output, historical simulation across all products, and a mobile-first design that works in a field, not just an office.
The quoting flow queries multiple carriers simultaneously and returns a unified comparative view — premium, coverage terms, and historical performance — without requiring an agent to repeat the same inputs across separate systems. The targets — 50% reduction in quote generation time and 25% increase in supplemental coverage sales — weren’t aspirational. They were the design constraints we built toward from day one.
Key statistics
Target reduction in quote generation time — the design constraint, not an afterthought
Target increase in supplemental coverage sales, driven by in-platform comparative visibility
Agent adoption rate targeted within 6 months — built for how agents work, not how vendors assume they do



