Pricing Overview
Haaz.ai uses a custom enterprise pricing model tailored to each organization's needs. Haaz.ai transforms how real estate professionals serve their clients by using AI to instantly generate comprehensive property comparison reports. Agents can deliver data-driven insights in seconds instead of hours of manual research across MLS listings and public records.
Haaz.ai pricing is quoted individually for each organization. The sales team works with prospective customers to build a package that matches their AI-powered real estate analytics requirements, deployment scale, and support needs. This per-organization approach means pricing varies based on the specifics of each engagement.
Plan Comparison
| Aspect | Details |
|---|---|
| Pricing Model | Enterprise / Custom quote |
| Public Pricing | Quoted per organization |
| Target Users | Real estate agents, brokers, property investors, and real estate firms with 10 to 200+ agents |
| Free Trial | Demo available on request |
| Billing | Negotiated per contract |
Haaz.ai does not offer standard self-serve pricing tiers. All plans are customized and negotiated directly with the Haaz.ai sales team based on your organization's requirements and expected usage volume.
Core Capabilities
Haaz.ai provides the following core capabilities that factor into its enterprise pricing structure:
- AI property comparison reports: Generate side-by-side property comparisons in under 30 seconds using AI that pulls from MLS data, public records, and market trends via REST API
- Data-driven insights: Surface comparable sales, price-per-square-foot trends, and neighborhood analytics using SQL-backed data pipelines and JSON-structured output
- Agent productivity tools: Enable real estate agents to serve 3x more clients by automating the research and report generation that previously took 2 to 4 hours per property
These capabilities are designed for teams of 10 to 500+ users running AI-powered real estate analytics operations at scale, with API access, dedicated support, and reliability guarantees included in enterprise packages.
What Influences Pricing
Several factors will determine the final cost when evaluating Haaz.ai for your organization:
- Agent count: Teams of 10 to 50 agents pay differently than brokerages with 100 to 200+ agents across multiple offices
- Report volume: The number of property comparison reports generated monthly, from 50 for small teams to 1,000+ for active brokerages
- MLS integration depth: Custom MLS data integrations, API access for CRM connectivity, and white-label report branding affect implementation scope
- Contract length: Committing to a 2 to 3 year agreement often provides 15% to 25% better per-unit economics compared to month-to-month billing.
- Support and onboarding: Dedicated account management, 24/7 support, and custom training sessions for teams of 20+ users influence the overall package cost.
- Integration complexity: Custom API integrations, SDK access, data migration, or specialized deployment requirements add to implementation costs beyond the base subscription.
Getting Started with Haaz.ai
To explore whether Haaz.ai is the right fit for your AI-powered real estate analytics needs:
- Visit the Haaz.ai website and request a demo or consultation with the sales team.
- Prepare details about your team size (10, 50, or 100+ users), expected monthly usage volume, and your top 3 to 5 feature requirements.
- Ask about 30 to 90 day pilot programs to evaluate the platform hands-on before committing to a full contract.
- Compare Haaz.ai with 2 to 3 alternatives in the AI-powered real estate analytics space to ensure you are making an informed decision.