Optivis

Many organizations have realized the need to optimize their energy efficiency and reduce their CO2 footprint in recent years, reducing waste and energy costs. New regulations, higher energy prices and increased competition have further increased the importance of becoming more efficient, reducing waste, as well as offer customers additional value over the lifetime of a building or facility. However, installation costs of these systems in commercial or industrial use can be high, with long lead times until full optimization has been reached. Technological advances in real-time data processing, AI and Machine Learning and Deep Learning models, as well as real-time IoT duplex communication, have enabled new ways to address these challenges.

Optivis is an AI-powered data platform that reduces energy use in commercial buildings and industrial facilities through intelligent analysis and actions, individually and continuously optimizing energy use at scale through new use of Machine Learning, Deep Learning and neural networks models and duplex IoT networks, enabling up to 30-50% energy use savings with significantly reduced initial installation cost and quicker finetuning process and ROI.

Benefits:

• Enabling 35-50% energy savings through the use of Transformer Machine Learning Models and Artificial Intelligence
• Vastly reduced upfront installation cost through advanced use of AI and ML models for initial system onboarding and fine-tuning, enabling shorter lead time to optimal facility energy savings and faster ROI
• Real-time advanced data analysis and AI- and Transformer model-based intelligent action determination triggered remotely through bi-directional IoT networks, enabling continuous and optimized facility energy use without manual finetuning or analysis
• Extensive reporting and facility analysis capabilities and easy-to-use GUI
• Life Cycle Analysis (LCA) of environmental footprint with ISO 14040 compliant methods
• Data- and information protection ISO 27001 and BSI-Standard 200 compliance
• Pre-vetted hardware, with no dependency on facility on-prem WiFi or Bluetooth connectivity unless requested
• Offline local processing / edge computing capability available for faster processing and increased resiliency