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AI Copilot for Property Managers and Landlords
Avery helps property managers fill vacancies faster and resolve maintenance requests automatically. Our AI property manager and leasing agents can be assigned to complete many common tasks, from getting tours scheduled to following up with vendors. There are nearly 300,000 third party property management companies across the US, many of whom are overwhelmed by dozens of repetitive tenant requests streaming in through antiquated software every day. Avery modernizes the property managerβs toolkit with a two-way contact center to provide an excellent resident experience. Learn more at https://averyiq.com
AveryIQ offers an AI-powered property management copilot designed to automate leasing workflows, tenant communications, scheduling, and maintenance within a complete property management system. It emphasizes faster lead-to-lease conversion, automation of routine tasks, and integrated payments and reporting for landlords and property managers.
AveryIQ combines an AI agent (Avery) with a hosted property management system (AveryIQ) to automate lead follow-up, tour scheduling, tenant communications, maintenance coordination, and accounting. It includes automatic rent payments via ACH and cards, after-hours answering, a centralized AI-driven communication inbox, maintenance automation through a property-specific knowledge base, leasing automation that drives leads to leases, and customizable reports. The product supports integrations with legacy PMS/CRM systems and offers an API for custom integrations, with plans providing SMS, calls, and AI usage tokens on a pay-as-you-go or included basis. Plans outline features such as multiple seats, priority support, and training across Starter, Professional, and Enterprise tiers.
Who itβs for: Property managers and landlords with portfolios ranging from small (up to 10 units) to large (unlimited units), who want to automate leasing, communications, maintenance, and payments within a single system.
Active pricing page with multiple tiers and a 14-day trial; mentions product demos, customer testimonials, and enterprise customization/sales engagements; references to onboarding, training, and support options.
Second-time founder w/exit, early Tesla autopilot engineer, reported to Elon Musk, degree in mechatronics/robotics. Focused on Energy, Dense Cities, Micromobility, Autonomous Vehicles, and EVs.
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