Lofty operates a real estate SaaS platform built on a modern Java/Spring backend with PostgreSQL, Redis, and Kafka—infrastructure built for stateful, event-driven workloads. Active projects span data platform development, pipeline visibility dashboards, and sales tech stack optimization, while pain points cluster around data workflows, platform adoption, and operational scaling. The engineering-heavy organization (23 engineers vs. 4 sales and 4 product roles) reflects a product-first approach to solving agent productivity, though hiring velocity has slowed in recent months.
Lofty provides an AI-powered platform designed to increase productivity for real estate agents across the transaction lifecycle—from lead generation and customer relationship management through to closing. The platform automates marketing, streamlines sales processes, and centralizes collaboration between agents. It serves independent and team-based agents at mid-market scale. The company operates across the United States and Southeast Asia (China, Vietnam, Philippines), with engineering concentrated in multi-region teams. Current focus areas include data pipeline reliability, template and hyperlocal page scaling, and internal sales operations visibility.
Backend: Java, Spring/Spring Boot, PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ. Frontend: Vue.js with Vuex and Pinia, Webpack, Vite. Testing: Jest, Mocha. Infrastructure: AWS. The stack prioritizes event-driven and real-time processing patterns.
Lofty is headquartered in Phoenix, Arizona, and operates distributed engineering teams across multiple countries including Vietnam, China, and the Philippines alongside US-based staff.
Other companies in the same industry, closest in size