This startup provides smart home automation software that optimizes residential energy consumption. It automatically controls lighting, water, heating, and cooling, learning optimal settings to reduce energy bills and carbon emissions. The platform also offers energy monitoring for various appliances, empowering homeowners to make informed decisions about their energy use.
Funding
$150K 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
Many homeowners lack real-time visibility into their energy consumption patterns at the appliance level, making it difficult to identify inefficiencies and reduce energy waste. Traditional methods of energy monitoring often require expensive hardware installations, creating a barrier to entry for many households. This lack of accessible and granular data hinders informed decision-making and prevents homeowners from optimizing their energy usage.
Solution
Akeptus provides a smart home automation software platform that empowers homeowners to effortlessly reduce energy consumption and lower utility bills without requiring additional hardware. By securely connecting to existing utility data, Akeptus leverages advanced Non-Intrusive Load Monitoring (NILM) algorithms and AI to provide appliance-level insights. The platform delivers real-time monitoring, automated alerts for unusual consumption, and predictive maintenance features, all accessible through an intuitive user interface. Akeptus also facilitates participation in demand response programs, enabling users to earn incentives for reducing energy usage during peak demand periods.
Target Audience
Akeptus primarily targets homeowners seeking to reduce their energy bills, minimize their environmental impact, and gain better control over their home energy consumption.
Features
- Real-time energy monitoring and analytics accessible via an intuitive dashboard
- Appliance-level energy usage insights without requiring additional hardware
- Automated alerts for unusual energy consumption patterns or potential equipment faults
- Predictive maintenance capabilities to identify potential appliance issues before they become costly problems
- Demand response participation features to earn incentives by reducing energy usage during peak times
- Secure utility data connection for real-time data analysis
- Integration with a network of trusted professionals for home repair and maintenance needs
- NILM algorithms to disaggregate total energy consumption into individual appliance components