
Spring
AI platform that turns residential real estate data into sales-ready leads.
About Spring
Spring is an AI-native software platform built for the residential real estate industry, founded in 2023 and headquartered jointly in New York City and Tel Aviv. It's designed for brokerages and agents rather than individual home buyers, with the goal of turning raw data from listings, leads, and buyer conversations into opportunities that are more likely to convert into closed deals. The platform builds real-time buyer profiles by analyzing signals from inbox messages and CRM data, and it maintains a database described as covering more than 20 million categorized buyers nationwide, which it uses to help match the right property to the right buyer faster. Beyond matching, Spring automates parts of the outreach process, sending personalized follow-up across email, text, and voice to nurture leads, recommend listings, and schedule showings without requiring an agent to manually track every conversation. The company states it is used by firms across more than 10 countries and cites internal figures of a 30% revenue increase and an 85% faster buyer identification process for its customers, though these are self-reported results rather than independently verified benchmarks. Spring is backed by venture capital investors, according to its own materials, and is positioned specifically for real estate sales teams looking to reduce the manual work of sorting through leads and listings.
At a glance
- Founded
- 2023
- Last verified
- August 2026
Who It's For
- •Real estate brokerages
- •Real estate agents
- •Property developers
- •Real estate investors
How It Works
- 1Transforms raw real estate data using AI algorithms to generate insights.
- 2Analyzes listings, leads, and buyer behavior for actionable intelligence.
- 3Matches clients with properties based on data-driven insights.
- 4Supports real estate transactions by uncovering hidden demand.
How to Use Spring
- 1Input real estate data such as listings and leads into the platform.
- 2Use the AI-powered tools to analyze and interpret the data.
- 3Generate insights and property matches based on buyer preferences.
- 4Leverage the insights to close deals more efficiently.
Key Features
- •Real-time buyer profile building
- •Buyer intent prediction from inbox and CRM data
- •Database of 20M+ categorized buyers
- •Automated personalized outreach via email, text and voice
- •Lead-to-listing matching
Use Cases
- •Matching buyers to listings faster
- •Automating lead nurturing communication
- •Identifying high-intent buyers from raw data
Pros & Cons
Advantages
- •Utilizes advanced AI to generate actionable insights.
- •Helps speed up the sales process and close deals faster.
- •Uncovers hidden market demand for better targeting.
Disadvantages
- •Limited publicly available detailed feature list.
- •Requires integration of real estate data into the platform.
- •May be more suited for larger agencies with extensive data.
Alternatives
- Reonomy
- HouseCanary
- Zillow Tech Hub
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Frequently Asked Questions
What is Spring?
Spring is an AI-native software platform built for the residential real estate industry, founded in 2023 and headquartered jointly in New York City and Tel Aviv. It's designed for brokerages and agents rather than individual home buyers, with the goal of turning raw data from listings, leads, and buyer conversations into opportunities that are more likely to convert into closed deals.
How much does Spring cost?
Spring uses custom pricing — contact the vendor for a quote.
Is Spring free?
Spring is a paid tool and does not offer a free plan.
What are the best Spring alternatives?
Popular Spring alternatives include Reonomy, HouseCanary, Zillow Tech Hub.
What is Spring used for?
Spring is commonly used for Matching buyers to listings faster, Automating lead nurturing communication, Identifying high-intent buyers from raw data.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.