257 is a New York–based software and AI company that builds household-level “digital energy twins” to help utilities, solar installers, HVAC contractors, energy suppliers and other residential energy providers identify, engage, and convert homeowners for electrification and energy-product upgrades[5][4]. 257 launched in 2023 and raised a $9.2M seed round to commercialize an AI-powered platform that combines hundreds of public and proprietary data sources into predictive household profiles and go-to-market tools for the residential energy market[2][1].
High‑Level Overview
- Mission: To modernize residential energy adoption by using data and AI to make it cheaper and easier for providers to find the right homes for solar, heat pumps, HVAC upgrades and alternative energy plans[4][1].- Investment philosophy / Key sectors / Impact on the startup ecosystem: (Not applicable — 257 is a portfolio company / product company; see product-focused details below).- What product it builds: 257 builds a suite around a proprietary AI platform that creates a digital energy twin for every U.S. home and exposes products such as 257 Insights (household analytics), 257 Audiences (propensity scoring) and 257 Engage (lead capture/onboarding) to drive conversion[4][1].- Who it serves: Utilities, solar installers, HVAC contractors, energy suppliers and other residential energy product and service providers[5][4].- What problem it solves: Providers spend large sums on customer acquisition without precise targeting; 257 reduces acquisition cost and improves conversion by predicting household energy needs and upgrade propensity at scale[1][4].- Growth momentum: Founded in 2023, 257 quickly raised $9.2M in seed financing and reports pilot partners achieving up to ~300% improvements in customer acquisition efficiency; the company lists 200+ energy customers and emphasizes a performance-based pricing model to accelerate adoption[2][1][5][4].
Origin Story
- Founding year and team: 257 was founded in 2023 by Scott Rosenberg (CEO) and Tal Chalozin (CTO), formerly senior operators who built ad-tech and media platforms at Innovid and Roku[3][1].- How the idea emerged: The founders observed similar acquisition and targeting problems in the residential energy market to those they’d solved in consumer media—large spend, fragmented providers, and a lack of household-level intelligence—so they applied data + AI to create digital twins that enable precise outreach and product recommendations[3][4].- Early traction / pivotal moments: In its first months the company ran pilots with utilities and energy providers showing substantial ROI improvements (some reported ~300% better acquisition efficiency), and closed a $9.2M seed round to scale the platform and go-to-market[1][4].
Core Differentiators
- Digital energy twin at household scale: Proprietary models that combine hundreds of public and private data sources to produce a unique energy profile per home, not just aggregated segments[4][1].- Performance-based commercial model: Unlike traditional data brokers or lead-gen firms, 257 offers free access to analyses and charges when the platform drives a successful sale, aligning incentives with customers[4][1].- End-to-end product suite: Combines analytics (Insights), propensity audiences (Audiences) and engagement/onboarding tools (Engage) to move customers from identification through conversion[4][1].- Leadership with ad-tech pedigree: Founders who previously built billion-dollar media platforms bring experience in large-scale consumer targeting, measurement and platform productization (Roku, Innovid)[3][1].- Channel-agnostic activation: Platform supports activation across Meta, Google, CTV, programmatic and direct mail, enabling providers to run campaigns where their customers live[5].
Role in the Broader Tech Landscape
- Trend alignment: 257 sits at the intersection of residential electrification, data-driven marketing, and AI-powered predictive analytics—markets growing as policy, consumer demand, and decarbonization incentives accelerate home upgrades[4][1].- Why timing matters: The U.S. residential energy upgrade market is large (estimates cite trillions in household spending over coming decades) and providers increasingly need precision to cost-effectively acquire customers as electrification choices proliferate[1].- Market forces in their favor: Regulatory incentives, falling costs of electrification technologies, rising consumer interest in efficiency and the general shift toward outcome-based, software-enabled sales models create demand for household-level targeting and measurement[4][1].- Ecosystem influence: By lowering acquisition costs and improving match quality, 257 can speed adoption for installers and suppliers, improve ROI for utilities’ customer programs, and reduce wasted marketing spend—effectively acting as an enabling infrastructure layer for residential electrification[1][5].
Quick Take & Future Outlook
- Near term: Expect 257 to scale commercial adoption with performance-based pilots converting to paid customers, expand data features for more accurate consumption and upgrade predictions, and broaden integrations with marketing channels and partner platforms[4][5].- Medium term: If models maintain predictive lift and unit economics hold, 257 could become a standard targeting layer for residential energy commerce—akin to a verticalized “Shopify” or ad-tech stack for home electrification—especially given founders’ ad-tech backgrounds and existing traction[3][5].- Risks / shaping trends: Accuracy of digital twins depends on data quality and model generalization; privacy/regulatory constraints, changes in energy incentive programs, or stronger competition from established data providers could affect growth[4][1].- Influence evolution: As more providers adopt electrification, 257’s household intelligence and performance pricing could reshape how installers and utilities budget acquisition spend, inform policy targeting for incentives, and accelerate the market transition to electrified homes[1][4].
Quick final link back: 257 packages AI-driven household intelligence plus execution tools and a performance-based commercial model to tackle a large, inefficient residential energy market—its early pilot results and seed funding position it to be a notable infrastructure player in home electrification if it sustains predictive performance and scales activation across providers[4][1].
