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Sustainable solutions. For tomorrow.
NeroTech: Real-time AI insights drive energy efficiency and emission mitigation
NeroTech is an AI-driven energy-saving software that provides exceptional flexibility and customization options, enabling users to manage multiple building systems and equipment through a centralized interface. By implementing NeroTech software, building owners can achieve increased energy efficiency, cost savings, and a reduced environmental impact. NeroTech enables companies to manage and improve their ESG (environmental, social, and governance) performance with advanced machine learning, natural language processing (NLP), and generative AI techniques. Customers can utilize NeroTech to unify and store disparate ESG data, automate reporting to standards, boost the specificity and traceability of carbon emissions calculations, track stakeholder ESG priorities, and manage ESG plans with scenario analysis.
Real-time data, value interpretation
Data presented,
carbon reduction results at a glance
Ai assistant real-time reporting, communication
The Value of NeroTech Energy Management
NeroTech Energy Management Solution
Pain Point
Inability to measure progress toward sustainability goals
Automated measurement and verification through machine learning allows for accurate tracking against cost and sustainability goals
Time-consuming manual calculations of sustainability project results
Automated AI/ML project savings measurement and validation to track sustainability ROI at the equipment and facility level
Limited collaboration between sustainability and operations teams in identifying project opportunities
Artificial intelligence-based alerts and recommendations to identify specific operational opportunities with estimated sustainability impact
Existing systems are rigid, closed, and not scalable
The flexible, secure and open platform provides robust integration and full interoperability with all enterprise and off-enterprise systems (e.g., historian systems, torch stack sensors, PEMS, CEMS).
Inability to track the carbon footprint of products and leverage sustainability investments
Industry-specific data models and out-of-the-box emission factor libraries enable advanced product carbon footprint analysis
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