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Cygnis’s cutting-edge energy management platform empowers organizations to efficiently monitor, control, and analyze utility consumption and carbon emissions. The system’s advanced data analytical and predictive capabilities forecast future predictions, enabling organizations to make proactive decisions, optimize energy consumption, and embrace a sustainable future.
Our sophisticated data connectors facilitate real-time data access, integration, and linking across various devices and platforms, such as SkySpark, Utility API and other data sources. These connectors ensure efficient data flows and create a unified and interconnected ecosystem for streamlined data management.
We use data mining to extract valuable patterns and insights from vast datasets, enabling informed decision-making to enhance energy efficiency and optimize resource consumption. Furthermore, the system allows for discovering hidden correlations and trends within energy-related information.
Our system leverages advanced AI analytics to gain key insight from large datasets that help organizations analyze their overall energy data usage. The data is displayed in the form of charts and pie graphs to get simplified insights and plan the future best practices for energy-saving.
To recognize data patterns and make utility consumption predictions, we integrated the demand forecasting ML model. This ML model enhances accuracy and provides timely forecasting even in volatile conditions, enabling organizations to proactively manage resources, optimize utility consumption, and make data-driven decisions.
Our dedicated AI Energy Agent chatbot delivers instant and insightful responses, offering information in written and visual formats for quick understanding. It incorporates context-aware knowledge systems for follow-up messages based on the user's search history.
Organizations can efficiently manage multiple sites and portfolios, obtaining graphical representations of electricity and gas consumption. Electricity consumption data from one site can be compared with that of multiple sites to analyze differences in electricity usage.
IoT sensors collect weather data via weather API, generating alerts for temperature drops, allowing efficient adjustments to AC or heater settings, and optimizing electricity consumption effectively.
Our engineering team implemented a secure multi-tenant architecture for diverse group access, ensuring effective management of a site with multiple projects and optimized utility consumption.
AcuRev and Utility Meters are features for measuring electricity data of various sites. Utility meters display electricity consumption graphically, while AcuRev presents project data for specific sites using various measuring units.
The seamless integration with SkySpark, Utility API, and Weather API enables advanced data visualization and analytics for future predictions and forecasting of utility consumption.
The system offers three user roles—admin, owner, and members—for efficient site management. Admins handle overall site and project data, owners manage their organizational projects, and members have limited access.
Our Energy Agent, an NLP-driven AI chatbot, instantly interprets and responds to users' queries, providing valuable information resources and visualizing summary reports for enhanced user experience.
Floor plan management integrates utility consumption data for each floor in a site or building, with dedicated key numbers for unique identification. This allows analysis to determine which floor is utilizing energy more efficiently.
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From the beginning Cygnis Media an excellent team to work with. They are very professional and quickly understood our needs and how best to implement our vision for the project.
I am very fortunate to have found Cygnis Media for my development project. They translated my complex vision into a user-friendly product that greatly exceeded my expectations, and one that my clients love!
I cannot recommend Cygnis highly enough. Cygnis were able to take on board our vision and got it straight away. They managed our expectations and helped prioritize our goals for both the MVP and later.
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