Watter repurposes waste heat from compute hardware to preheat household water, offering an all-electric, integrated solution that replaces traditional water heaters. Its AI-driven system optimizes energy consumption and schedules based on user behavior, reducing utility costs and environmental impact while generating revenue from onboard compute resources.
Funding
$5M 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
Traditional water heating systems are energy-intensive and contribute to household carbon footprints. Furthermore, the significant power consumption of high-performance computing hardware generates substantial waste heat that is typically vented and lost.
Solution
Watter offers an integrated, all-electric solution that repurposes waste heat from compute devices to preheat household water. This system functions as a direct replacement for conventional water heaters, requiring minimal installation time. By leveraging AI, Watter optimizes water heating schedules and energy consumption based on user behavior and ambient conditions, leading to operational efficiencies and cost savings. The system also utilizes the compute power of the integrated hardware to generate revenue, creating a dual benefit of sustainable utility and economic return.
Target Audience
Watter targets environmentally conscious homeowners and early adopters of smart home technology seeking to reduce their energy consumption and utility costs.
Features
- Integrated compute hardware designed to capture and transfer waste heat to a water reservoir.
- AI-driven control system for predictive scheduling and dynamic temperature regulation.
- Smart connectivity via a mobile application for remote monitoring and user preference adjustments.
- All-electric design for simplified installation and grid integration.
- Drop-in replacement compatibility with existing plumbing infrastructure.
- Revenue generation through the utilization of onboard compute resources.