
257
A data platform providing home energy insights and tools.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
* | $9.2m | Seed | |
Total Funding | 000k |
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257.co operates as a residential electrification data platform, aiming to address the informational gap between energy companies and consumers. The company was founded by Scott Rosenberg and Tal Chalozin, entrepreneurs with backgrounds in building large-scale media technology platforms at Roku and Innovid, respectively. Their experience in consumer marketing, platform development, and extensive data analysis is now being applied to the residential energy market. Chalozin's journey includes serving as an officer in the Israeli Air Force's computer unit and co-founding GarageGeeks, a non-profit for creative projects, before co-founding the video advertising technology company Innovid.
The core of 257's offering is the creation of a "digital energy twin" for every home in the United States. This is accomplished by utilizing artificial intelligence and processing billions of data points from numerous public and proprietary sources. These digital profiles are composed of four main data categories: the physical structure of the home, details about the residents, information about the electric grid, and financial insights, which include available incentives. This comprehensive data model allows 257 to provide its clients with predictive analytics regarding household energy needs.
257 serves a diverse client base that includes electric utilities, retail electric providers, community and rooftop solar installers, and HVAC companies. The business model is performance-based; clients can use the platform for analysis and audience building at no initial cost, paying only when the platform facilitates a successful sale. This approach differentiates them from traditional data brokers or lead generation firms. The platform's product suite is structured into three main offerings: "Analyze," which provides deep customer insights; "Target," which uses lookalike modeling to accelerate customer acquisition; and "Engage," which features customizable, data-powered forms to improve the initial contact and onboarding process with homeowners. These tools are designed to help energy providers enhance customer participation in energy efficiency and demand response programs, predict load growth, and personalize marketing messages.
Keywords: residential energy data, digital energy twin, home electrification, energy analytics, utility data platform, solar lead generation, HVAC marketing, retail electricity, customer engagement, energy efficiency, demand response, AI in energy, load forecasting, energy consumer insights, Scott Rosenberg, Tal Chalozin, home energy profile, grid data, cleantech, proptech