# Watt Analytics - **Website:** - **Primary alias:** `watt-analytics.com` - **Founded:** 2018 - **Employees:** 2+ - **Location:** Wien, Austria - **Company kind:** PRIVATELY HELD ## Description Watt Analytics is a brand that specializes in energy management solutions, using Artificial Intelligence and Machine Learning to analyze, predict, and control electricity consumption. Their innovative hardware and cloud-based solution can be utilized by both households and businesses, offering significant improvements in energy efficiency. With Watt Analytics, users can easily manage and monitor their energy usage through the web or mobile app. The brand's technology provides a range of functionalities, including analyzing energy consumption, integrating various energy systems such as PV systems and battery storage, real-time tracking of energy usage and production, and creating personalized dashboards with important data. By optimizing energy consumption based on self-production and load optimization, Watt Analytics helps reduce energy costs by an average of 15-25% while increasing your green footprint. With their machine learning technology, the system continuously learns and improves performance. Their mission is to promote environmental protection through higher energy efficiency and help consumers maximize the use of their self-produced energy. Contact Watt Analytics to learn more about their technology and achieve maximum energy efficiency. ## Industries - 🖥 Programming and Developer Software _(under Computers Electronics and Technology)_ - 🖥 Computers Electronics and Technology ## Logos & icons - logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/id4n_dFO9c/w/820/h/188/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1771770920050) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Fun Green | #00991a | accent | | Black | #000000 | dark | | White | #ffffff | light | ## Fonts - var(--the7-base-font-family) — asset _(custom)_ - Arial — asset _(custom)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._