The startup provides a data analytics platform that combines MLS listings with smart‑device telemetry to quantify how smart‑home installations affect sale price, days on market, and ROI. Machine‑learning models generate property‑specific reports and privacy‑transparency dashboards, and the service offers API and embeddable widgets for agents, brokerages, and developers to integrate insights into listings and CRM tools.
Funding
$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Real estate professionals lack quantifiable data on how integrated smart home technologies affect property valuation and time on market, making it difficult to justify premium pricing or advise sellers on technology investments. Additionally, buyer concerns about data privacy and control over connected devices create uncertainty around the perceived benefits of smart home features. This information gap hampers effective marketing and decision‑making for both sellers and agents.
Solution
The company offers a data‑driven analytics platform that measures the impact of smart home installations on sale price, sales velocity, and return on investment. By aggregating MLS listings, smart‑device telemetry, and energy‑usage metrics, the platform generates property‑specific reports that highlight the financial benefits of energy‑management systems and the value of transparent data‑security practices. Predictive models estimate how upgrades such as intelligent thermostats, automated lighting, or solar integration influence buyer interest and closing timelines. The service also provides compliance checklists and privacy‑control dashboards to demonstrate how connected features can be managed or disabled, addressing buyer security concerns. Real‑time visualizations and API access enable agents to embed insights directly into listings, presentations, and CRM tools, facilitating data‑backed negotiations and marketing strategies.
Target Audience
Primary customers are residential real estate agents, brokerages, and property developers who need evidence‑based insights to market smart‑enabled homes and advise on technology investments.
Features
- Automated ingestion of MLS data combined with smart‑device usage logs to create a unified property dataset
- Machine‑learning models that predict price premiums and reduced days‑on‑market for specific smart‑home configurations
- ROI calculator for energy‑management upgrades, incorporating utility rates, solar generation, and occupancy patterns
- Privacy‑transparency module that audits data collection, local processing capabilities, and provides end‑user control settings
- Interactive dashboards with heat‑maps, trend lines, and scenario analysis for agents and developers
- RESTful API and embeddable widgets for seamless integration with brokerage websites, CRM platforms, and listing services
- Customizable report templates that can be branded and exported in PDF or CSV formats for client presentations