Radiant Labs provides APIs and energy modeling tools that connect homeowners with contractors for home energy upgrades, fuel switching, and renewable energy installations. The platform delivers detailed insights on energy usage, HVAC sizing, and carbon emissions, enabling efficient electrification of buildings while optimizing financial and environmental outcomes.
Funding
$130K 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
Homeowners often lack clear guidance on the most effective and cost-efficient strategies for upgrading their homes to improve energy efficiency and reduce carbon emissions. Contractors struggle to identify and target ideal candidates for electrification and renewable energy installations, leading to inefficient marketing efforts. Cities and utilities need better tools to forecast and plan for transformations in their building stock to meet sustainability goals.
Solution
Radiant Labs provides a suite of APIs and energy modeling tools that connect homeowners with contractors to facilitate home energy upgrades, fuel switching, and renewable energy installations. The platform leverages building data, utility information, and weather patterns to generate detailed energy models and identify optimal upgrade scenarios. Homeowners can use the platform to model the economic outcomes of deep energy retrofits with electrification and renewables, while contractors can submit bids and refine project details. Cities and utilities can utilize the analytics engine to forecast future transformations in their building stock and target specific neighborhoods or homes for marketing campaigns.
Target Audience
Radiant Labs targets homeowners seeking to improve their home's energy efficiency, contractors looking to expand their business in the electrification and renewable energy sectors, and cities/utilities aiming to achieve sustainability goals through building stock transformation.
Features
- APIs for accessing building descriptions, energy usage estimates, HVAC sizing, and carbon usage data.
- Energy modeling capabilities that simulate the impact of various upgrade scenarios on energy consumption and costs.
- Financial modeling tools that calculate operating and installed costs, investment metrics, and potential rebates.
- Recommendation engine that suggests optimal upgrade packages based on building characteristics and homeowner preferences.
- Integration with lead generation and sales tracking tools, such as web-to-lead forms, HubSpot, and Salesforce.
- Proprietary building data, including regional and age-based defaulting engine, satellite imagery, and utility bill data.
- Weather normalization algorithms that account for variations in weather patterns when estimating energy savings.
- Rebate eligibility assessment to identify available incentives for energy upgrades.