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Link assets and data sources
Sustainergy.ai — The AI Intelligence Layer for Industrial Energy
Connect your assets. Understand your consumption. Predict your costs. Optimise your operations. Save at scale.
The platform
From Raw Data to Real Financial Outcomes
Sustainergy.ai is an AI-powered industrial energy management platform built for manufacturing companies, industrial sites, and multi-site organisations. It sits as an intelligence and optimisation layer between your physical assets, energy infrastructure, and energy markets — translating operational data into measurable financial value.
Understand
Reveal consumption patterns
Predict
Forecast costs and demand
Optimise
Streamline operations and load
Save
Deliver measurable financial outcomes
The platform is designed for Operations Directors, Plant Managers, Energy Managers, and CFOs who need credible, site-specific insight — not generic dashboards.
Platform architecture
Four Layers. One Intelligence Core.
Sustainergy.ai is structured as four integrated platform layers, each building on the last to transform raw industrial data into optimised operational action.
Data Sources
Smart meters, building management systems, SCADA, weather feeds, energy market prices, production schedules.
Aggregation Layer
Data normalisation, quarter-hour granularity, multi-site consolidation, real-time ingestion.
AI Intelligence Core
Pattern recognition, anomaly detection, demand forecasting, price modelling, load optimisation algorithms.
Optimisation and Control
Automated scheduling, demand response, peak shaving, battery dispatch, reporting and compliance.
Data foundation
Quarter-Hour Granularity. Site-Specific Intelligence.
Sustainergy.ai ingests consumption data at quarter-hour resolution — the same granularity used by energy markets and network operators. This level of detail is what separates genuine energy intelligence from high-level monitoring.
At quarter-hour resolution, the platform can identify baseload behaviour, isolate peak demand events, detect anomalies invisible in monthly billing data, and build accurate consumption forecasts that reflect the real rhythm of your production schedule.
The aggregation layer normalises data from multiple sources and multiple sites into a single, consistent intelligence environment. Whether you operate one facility or fifty, Sustainergy.ai presents a coherent operational picture across your entire estate.
Quarter-hour data is the foundation of every financial calculation on this page. The platform's analysis begins the moment your data is connected.
AI intelligence core
Predict. Detect. Optimise. Continuously.
The AI Intelligence Core is the engine of the Sustainergy.ai platform. It applies machine learning and statistical modelling to your site-specific consumption data, continuously updating its understanding of how your facility uses energy and how that usage maps against cost drivers.
Demand Forecasting
The platform models expected consumption patterns against production schedules, weather inputs, and historical behaviour — producing forecasts that support procurement, scheduling, and cost avoidance decisions.
Anomaly Detection
Statistical baselines are continuously maintained for every monitored asset and zone. Deviations that indicate equipment faults, process drift, or unauthorised consumption are surfaced automatically — before they appear on a bill.
Peak Demand Modelling
The platform identifies the demand peaks that drive network capacity charges. Modelled intervention scenarios show the financial impact of load shifting, curtailment, or battery dispatch before any operational change is made.
Energy Price Intelligence
Day-ahead and intraday market price signals are integrated into the optimisation logic, enabling the platform to recommend or automate consumption shifts that take advantage of lower-cost periods.
Five value streams
Where Sustainergy.ai Creates Financial Value
The platform delivers value across five distinct streams. Numbers shown are reference-case or modelled values. Site-specific outcomes depend on your facility's operational profile, tariff structure, and installed assets.
Benchmark
1 — Energy Waste Reduction
Sustainergy.ai identifies consumption that delivers no productive output — standby loads, overnight baseload, process inefficiencies, and equipment left running outside production hours. Anomaly detection and asset-level monitoring surface waste that is invisible in monthly billing data.
Published benchmarks place the recoverable share at 5–15% of total electricity consumption: the IEA reports savings of 5–11% in heavy industry and 10–18% in light industry in the first years of structured energy management, while the US DOE estimates that leaks alone waste 20–30% of compressed air output in an average plant. These are industry benchmarks, not site measurements. Actual savings depend on the scale of current waste and the complexity of your operational schedule.
Modelled
2 — Network Capacity Charge Reduction
Network capacity charges are calculated from your peak demand — typically the highest demand recorded during a defined measurement period. A modelled reference case of a 100 kW peak reduction, valued at a published network tariff of €70.32 / kW / year, produces an annual saving of €7,032 / year. This is a modelled value based on a specific tariff rate and a specific demand reduction assumption. Actual savings depend on your network tariff, your measured peak demand profile, and the reduction that is technically achievable at your site.
Modelled
3 — Day-Ahead Price Optimisation
Day-ahead electricity markets publish hourly prices the evening before delivery. The price spread between the cheapest and most expensive hours creates a shifting opportunity for loads that have operational flexibility. A modelled reference case — shifting 30 kWh per day across a price spread of €61.87 / MWh, operating for 357 days per year — produces an annual saving of €6,774 / year. This is a modelled value. Actual savings depend on the volume of flexible load at your site, the price spread available in your market, and the number of days shifting is operationally feasible.
Measured
4 — Demand Response Revenue
Grid operators pay industrial sites to reduce consumption on request during periods of system stress. Sustainergy.ai integrates demand response programme participation into the platform's optimisation logic, ensuring that available capacity is accurately identified, offered, and delivered. The revenue available depends on your grid operator's published programme terms, your site's demonstrated flexibility, and prevailing market conditions. Sustainergy.ai does not guarantee demand response revenue.
Modelled
5 — Battery Storage Optimisation
Where battery storage is installed, Sustainergy.ai optimises charge and discharge schedules to maximise the financial return from the asset. The platform simultaneously targets arbitrage value from price spreads, peak demand reduction, and demand response capacity. Modelled annual value per kW of battery capacity is up to €70.32 / kW / year from capacity charge reduction alone, with additional potential from arbitrage and demand response participation. This is a modelled upper-bound value. Actual performance depends on battery size, cycle capability, tariff structure, and market conditions.
Key distinction
Measured. Modelled. Site-Specific.
Sustainergy.ai maintains a clear and consistent distinction between three categories of financial value.
Measured
Values derived directly from your site's metered consumption data. These reflect what is actually happening at your facility, not an industry average or benchmark assumption.
Modelled
Values calculated from defined assumptions applied to a reference case. Modelled values illustrate the financial scale of an opportunity — they are not a guaranteed saving at your site.
Site-Specific
The actual value available at your facility. Site-specific values require analysis of your quarter-hour data, your tariff structure, your operational flexibility, and your installed assets. This is exactly what Sustainergy.ai's free quarter-hour data analysis delivers.
Multi-site capability
One Platform. Every Site. Full Portfolio Visibility.
Enterprise-Scale Energy Intelligence
For organisations operating multiple industrial facilities, Sustainergy.ai provides a consolidated intelligence environment that covers the entire site portfolio — without requiring separate deployments, separate data environments, or separate reporting processes.
The platform aggregates consumption, cost, and performance data across all connected sites into a single operational view. Site-to-site benchmarking, portfolio-level reporting, and consolidated demand response participation are all supported within the same environment.
What Multi-Site Organisations Gain
1
Portfolio-Level Visibility
Consolidated consumption, cost, and performance data across every connected facility — updated continuously at quarter-hour resolution.
2
Site-to-Site Benchmarking
Identify which facilities are performing efficiently and which are generating excess cost — with the granularity to understand why.
3
Coordinated Demand Response
Offer flexibility across multiple sites simultaneously, increasing the capacity available to grid operators and the revenue available to your organisation.
Free first step
Start With Your Data. Not a Proposal.
The free quarter-hour data analysis is designed for organisations that want to understand the energy opportunity at their site before committing to a full platform implementation.
Sustainergy.ai's team analyses your existing quarter-hour consumption data and returns a structured report identifying the scale of baseload waste, peak demand events, load-shifting opportunity, and the financial value streams relevant to your site's specific tariff and operational profile.
There is no obligation to proceed. The analysis is a credible, site-specific starting point — not a sales pitch built on industry averages.
The free analysis uses your actual metered data. Every finding is specific to your site — not an industry benchmark applied to your name.
01
Share Your Data
Provide your existing quarter-hour consumption data export. No new hardware or installation is required at this stage.
02
Sustainergy.ai Analyses
The team runs your data through the platform's intelligence layer, identifying waste patterns, peak events, and shifting opportunities specific to your site.
03
Receive Your Report
A structured analysis is returned identifying the value streams relevant to your facility, quantified using your actual consumption profile and your tariff structure.
04
Decide With Confidence
Use the analysis to build a site-specific business case — with or without proceeding to a full Sustainergy.ai implementation.
Ready to See What Your Site's Data Reveals?
Book a 30-minute demonstration of the Sustainergy.ai platform — or start with your free quarter-hour data analysis and receive a site-specific picture of your energy opportunity.