Our Technology
Powered by Data. Enhanced by AI. Grounded in Reality.
AI handles the heavy lifting; agents handle the judgment.
CMAsnap is designed to enhance expertise, not replace it
Built by REALTORS® and deeply integrated with MLS data, CMAsnap combines structured pricing logic with intelligent automation to guide users through the CMA process—ensuring consistency, transparency, and professional judgment at every step. Rather than replacing expertise, CMAsnap’s AI functions as an expert system: applying proven pricing rules, market heuristics, and guardrails that reflect how experienced agents and appraisers actually evaluate properties.
The platform automatically selects and evaluates comparables, surfaces meaningful adjustments, and presents side-by-side analyses that are easy for clients to understand and trust—while still allowing agents to apply their own insight where it matters most. The result is a persuasive CMA that’s faster to create, easier to explain, and more consistent across users and market conditions.
For MLSs, CMAsnap delivers a modern, AI-enabled pricing tool that enhances member value without introducing opaque algorithms or compliance risk. For brokerages, it offers a solution to increase agent retention and risk mitigation, while increasing lead conversion. For agents, it reduces time spent wrestling with data and increases confidence in pricing conversations—whether for listings, buyers, rentals, or property management.
CMAsnap helps elevate pricing standards across the industry while keeping professional judgment firmly in the hands of the REALTOR®.
Smart Assistance, Clear Boundaries
CMAsnap’s AI operates within a closed-loop system designed specifically for real estate pricing. The AI does not search the internet or introduce outside information; every explanation is generated solely from MLS data and the agent-selected comparables used in each individual CMA. By constraining AI outputs to verified, auditable inputs, CMAsnap avoids the hallucinations common in open-ended AI tools—delivering explanations that are consistent, defensible, and aligned with MLS standards.