etalytics

What etalytics does

etalytics delivers AI operational intelligence for industrial energy infrastructure. Its AI-native platform continuously analyzes and optimizes cooling, HVAC, and energy systems in real time using physics-based digital twins, predictive analytics, and autonomous optimization. By orchestrating how interconnected infrastructure behaves across pumps, chillers, ventilation, thermal storage, and electrical systems, etaONE® helps operators reduce energy consumption, improve resilience, and scale operations more efficiently without replacing existing infrastructure. The company aims to help industrial energy system operators cut costs, reduce emissions, and build resilience by unlocking the full potential of energy data with digital twins, predictive analytics, and AI-driven optimizations.

Products

• etaONE®The core platform for AI-driven energy optimization. It connects assets, processes, and data streams into one intelligent system, offering real-time monitoring, digital twins, predictive analytics, and autonomous optimization. It is built on a modular architecture and provides data integration, asset hierarchies, metadata management, real-time monitoring, visualization, digital twins, predictive models, optimization, and autonomous control. It is designed to overcome limitations of traditional systems that lack scalability, interoperability, and intelligence.
• etaEDGE® IIoT GatewayA virtual or dedicated IIoT Gateway that provides seamless connectivity between etaONE® and all major interfaces such as OPC UA, MQTT, Modbus TCP, REST, BACnet, Sparkplug, and Push-Pull. It features one-click device onboarding and datapoint templates for fast, repeatable, and scalable integration across heterogeneous systems.
• Energy TransparencyA solution within etaONE® that provides live insights into energy flows, asset performance, and carbon impacts. It offers real-time monitoring, benchmarking, and audit-ready reporting, turning data overload into actionable insights. It retrieves telemetry data from meters, sensors, BMS/SCADA, and IoT devices, enriching it with metadata for advanced analytics.
• Energy ForesightAn AI-powered predictive analytics solution that uses digital twins, predictive analytics, and anomaly detection to anticipate issues, forecast energy demand, and prepare systems for future conditions. It helps detect anomalies and deviations early, forecast demand and loads, predict asset health and failures, and simulate 'what-if' scenarios.
• Energy AutonomyA solution within etaONE® that enables AI adaptive control of HVAC/Energy Systems, market-adaptive scheduling of storages and generation, automated peak load management (peak shaving), and dynamic energy procurement optimization.

Key capabilities

• AI-native platform
• Physics-based digital twins
• Predictive analytics
• Autonomous optimization
• Real-time analysis and optimization
• Continuous analysis
• Data integration & interoperability
• Asset hierarchies & metadata management
• Real-time monitoring & visualization
• Optimization & autonomous control
• Flexible & frictionless connectivity (via etaEDGE®)
• System modeling with Elements & Element-Types
• Flexible scopes for topologies and analysis
• High-performance time series data engine
• Dynamic transformations for KPIs and data processing
• Live KPIs
• Energy Flow visualization
• Asset management
• Carbon & Cost tracking
• Seamless Data Integration with vendor-independent connectors and open APIs
• Energy System Visualization
• Benchmarking & Performance Tracking
• Automated ISO 50001 & ESG reporting
• Portfolio-wide energy management
• Adaptive Optimization for cooling systems
• Condition Monitoring
• Predictive Maintenance
• Energy Forecasting
• Scenario Simulations
• Automated early detection of risks & performance deviations
• Load forecasting
• Market-adaptive scheduling of storages and generation
• Automated peak load management (peak shaving)
• Dynamic energy procurement optimization
• On-Premise or secured Cloud environments
• Robust fallback solutions
• AI Transparency
• Data encryption standards
• Proactive application security measures (secure coding, peer reviews, automated scanning)
• Infrastructure protection with stringent access controls
• Multi-layer fallback strategies

Use cases

• Reducing energy consumption in industrial energy systems
• Optimizing cooling, HVAC, and energy systems in real time
• Reducing CO₂ emissions
• Increasing resilience of energy systems
• Reducing operational efforts for energy management
• Uncovering hidden inefficiencies in complex energy systems
• Accelerating journey toward carbon neutrality
• Planning and executing decarbonization strategies
• Building data-driven operations that adapt automatically to changing conditions
• Empowering smaller teams with intelligent transparency and preventive alerts
• Measuring & analyzing energy performance
• Predicting & preventing inefficiencies with AI
• Controlling & optimizing operations intelligently
• Cooling optimization in data centers
• Process reliability in pharma/chemical industries
• Energy-intensive production optimization in automotive
• Real-time monitoring of energy flows and assets
• Energy performance benchmarking
• Compliance reporting (e.g., ISO 50001, ESG)
• Portfolio-wide energy cost and carbon tracking
• Automated early detection of risks & performance deviations
• Predictive maintenance of critical systems
• Load forecasting for better planning
• Scenario simulations for 'what-if' analysis, expansion or retrofitting
• AI adaptive control of HVAC / Energy Systems
• Market-adaptive scheduling of storages and generation
• Automated peak load management (peak shaving)
• Dynamic energy procurement optimization
• Minimizing Power Usage Effectiveness (PUE) in cooling systems
• Reducing primary energy consumption in hybrid injection molding processes
• Optimizing plant operations proactively in automotive production
• Ensuring GMP-compliant efficiency in pharmaceutical production through optimized HVAC and cooling systems
• Detecting anomalies early to prevent failures and unplanned downtime
• Extending equipment lifecycle by detecting wear and fouling early
• Making complex systems manageable by turning variables into clear signals
• Preserving institutional knowledge through digital twins
• De-risking SLAs and uptime commitments

AI approach

etalytics uses AI, digital twins, predictive analytics, and autonomous optimization to analyze and optimize cooling, HVAC, and energy systems in real-time. Their platform, etaONE®, continuously recalculates the system’s energy efficiency sweet spot, adapts to changing conditions, and predicts optimal behavior. They also develop AI tools and optimization models through research projects.

Tech named: digital twins, predictive analytics, AI-driven optimization, machine learning, anomaly detection, physics models, AI adaptive control, Generative Pre-trained Transformer (etaGTP)

Industries served

• Data Centers
• Pharma/Chemical
• Automotive
• Manufacturing
• Industrial Production

What it says sets it apart

• AI-native platform that optimizes systems, not just automates equipment
• Continuously analyzes and optimizes in real time
• Uses physics-based digital twins, predictive analytics, and autonomous optimization
• Orchestrates interconnected infrastructure behavior across various systems
• Born from years of research at TU Darmstadt, optimizing the whole energy system
• Modular architecture for data integration, intelligence, and optimization
• Flexible & frictionless connectivity with major interfaces via etaEDGE®
• High-performance time series data management system
• Metadata-driven foundation for advanced benchmarking, reporting, and optimization
• Adaptive optimization that recalculates the system’s energy efficiency 'sweet spot' in real time
• Safe by Design: built for reliability, transparency, and control
• Security-first approach with On-Premise or secured Cloud options, robust fallback, and AI Transparency
• ISO/IEC 27001 certification commitment and CyberVadis report available
• Proactive application security measures including secure coding and automated scanning
• Retains full control for clients overseeing critical infrastructures
• AI algorithms designed with transparency for comprehensibility and accountability
• Structured three-step deployment model (Platform integration, Digital twin setup, AI control deployment)
• Focus on system-level efficiency rather than siloed fixes

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.