metalogic
metalogic GmbH provides Azure Cloud-native, machine-learning-driven demand, generation and grid forecasting software for energy producers, suppliers, transmission operators, traders and municipal utilities, primarily in Central Europe, the UK and Ireland, delivered as SaaS or fully managed Forecasting-as-a-Service.
- Company typePrivate
- Founded2003
- HeadquartersMunich, Germany
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What metalogic does
metalogic GmbH is a Munich-based, privately held software and managed-services company that has specialized for over 20 years in machine-learning-driven forecasting for the energy industry. Its core product, mP Xnergy — released in its current next-generation form in early 2024 — is an Azure Cloud-native forecasting platform built on Microsoft .NET that delivers demand, generation and grid forecasts for electricity, gas, district heating, wind, solar and hydropower across intraday to long-term horizons. The platform is modular, with eight supporting components (mP Optimizer, mP Simulator, mP Scenario, mP Profiler, mP Workflow, metaScript Master, mP WebService and mP Automation Server) that collectively automate model tuning, scenario and Monte Carlo analysis, meter-level bottom-up forecasting, workflow orchestration, rule-based industrial forecasts, REST API integration and high-throughput batch processing.
The company sells primarily to large energy producers, suppliers, transmission system operators, energy traders and municipal utilities in Central Europe (notably Germany and Austria), the United Kingdom, Ireland and the Netherlands, through an enterprise direct-sales motion that often involves proof-of-concept testing. Revenue is generated via two managed-service models: SaaS (where the customer operates mP Xnergy on a subscription and metalogic manages the Azure Cloud account) and FaaS / Forecasting-as-a-Service (where metalogic runs the entire forecasting process on customer-provided data and delivers results on a quarterly flat-rate billing basis under multi-year contracts). Differentiators highlighted by the company include 20+ years of energy-only focus, deep integration with trading and operational systems, a Microsoft Silver Certified ISV/CSP partnership, and a standards-based product philosophy supporting continuous development.
Customer evidence includes 21 publicly named enterprise logos spanning Shell, British Gas Trading, GASCADE Gastransport, OMV, Gasunie, WienEnergie, Enercity, Mainova, EVN, VNG and municipal utilities such as SalzburgAG, LinzAG, Kelag and EnergieAG Oberösterreich. Marquee deployments include British Gas Trading (replacement of legacy on-premises forecasting for 500,000+ non-domestic meters, with three short-term top-down forecasts per day) and GASCADE (gas-flow and transport-planning forecasting across 3,200 km of pipeline with 81,000 sensor signals, also preparing hydrogen infrastructure integration). Metalogic operates with 11–50 employees, is management-owned with no external parent or disclosed funding, and remains privately held with no IPO or M&A activity in the input data.
metalogic firmographics
Firmographics- Name
- metalogic
- Legal name
- metalogic GmbH
- Website
- https://metalogic.de
- Company type
- Private
- Founded year
- 2003
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- metalogic GmbH provides Azure Cloud-native, machine-learning-driven demand, generation and grid forecasting software for energy producers, suppliers, transmission operators, traders and municipal utilities, primarily in Central Europe, the UK and Ireland, delivered as SaaS or fully managed Forecasting-as-a-Service.
- Ownership category
- akta.pro rank
metalogic industry classification
Industry- Product category
- Energy Forecasting Software
- NAICS
- Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Forecasting & AI Optimization for Flexibility (Load/Price/Renewables/SoC) (EUAFAKAH)
- akta.pro secondary industries
- Grid Analytics, Forecasting & Decision Support (Load/DER/Outage) (EUADAEAI), Grid Data, Monitoring & Analytics (PMU, Power Quality, Event Detection, Digital Twins) (EUAMAIAL)
Keywords
Where metalogic is headquartered
LocationHeadquarters
- HQ city
- Munich
- HQ country
- Germany
- HQ region
- Europe
Offices1 record
Markets served
metalogic business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- SaaS (Software-as-a-Service): Customer operates mP Xnergy themselves for their forecasts. metalogic supplies and manages both mP Xnergy and the Azure Cloud Account. Customer is responsible for forecasting operations but metalogic manages technical operations.
- FaaS (Forecasting-as-a-Service): metalogic executes the entire forecasting process using customer-provided data and delivers forecast results. Customer uploads data and receives results hourly/daily. Includes dashboard access for KPI monitoring. Billed quarterly at agreed flat rate.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | FaaS (Forecasting-as-a-Service) - Managed Application Services |
| Subscription | Monthly | SaaS (Software-as-a-Service) - Fully Managed Services |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels3 records
metalogic product offering
Product offeringCore offering
metalogic provides machine learning-driven energy forecasting software (mP Xnergy) deployed on Microsoft Azure Cloud, delivering demand, generation, and grid forecasts for electricity, gas, district heating, solar, wind, and hydropower. The company sells a modular forecasting platform with add-on modules (Optimizer, Simulator, Scenario, Profiler, Workflow, WebService, Automation Server, metaScript Master) and offers two managed service models: SaaS (customer-operated) and FaaS (metalogic executes the full forecasting process).
Product overview
metalogic offers mP Xnergy as its core Next Generation energy forecasting platform, with nine supporting product modules. mP Xnergy provides machine learning-driven demand, generation, and grid forecasts for electricity, gas, district heating, solar, wind, and hydro power across intraday, short-, medium-, and long-term horizons, deployed in Microsoft Azure Cloud as SaaS or FaaS managed services. The portfolio includes mP Optimizer (automated model optimization), mP Simulator (backtesting and risk assessment), mP Scenario (scenario analysis and Monte Carlo simulations), mP Profiler (meter-based bottom-up forecasting), mP Workflow (task and workflow automation), metaScript Master (rule-based scripting for industrial forecasts), mP WebService (REST API for third-party integration), and mP Automation Server (high-speed batch processing). Together they form a modular forecasting system addressing energy producers, suppliers, network operators, trading companies, and industrial consumers.
Differentiator
Problem solved
Functional benefit
Brands
- mP Xnergy: Next Generation Energy Forecast solution - a universal energy forecasting application for demand, generation, and grid forecasts for electricity, gas, district heating, solar, wind, and hydropower.
- mP Optimizer
- mP Simulator
- mP Scenario
- mP Profiler
- mP Workflow
- metaScript Master
- mP WebService
- mP Automation Server (mPAS)
Products and services
- mP Xnergy metalogic's flagship Next Generation energy forecasting platform, hosted in Microsoft Azure Cloud. Provides machine learning-driven demand, generation, and grid forecasts for electricity, gas, district heating, solar, wind, and hydro power, with support for intraday, short-, medium-, and long-term horizons. Available as SaaS (customer-operated) or FaaS (metalogic-operated managed service).
- mP Optimizer Automated heuristic evaluation module that tests and optimizes model parameters to produce a forecast model with minimal prediction error, determined via forecast simulations on available historical data. Reduces time to optimal model, increases forecast stability, supports seasonal-specific optimization, and enables sustainably better results.
- mP Simulator Forecast simulation module that runs consecutive daily forecast operations over a historical period to evaluate predictability and accuracy without manual effort. Detects weaknesses and inconsistencies in existing consumption data, enables quick risk assessment of new customers (especially industrial), and supports improvement of forecast models.
- mP Scenario Integrated scenario analysis and calculation module that extends mP Xnergy to perform elaborate scenario calculations. Supports unlimited data variants (e.g., normal/high/low temperature forecasts), if-then condition creation, and Monte Carlo simulations for probabilistic conditions. Outputs different results and confidence intervals to different systems, improving risk assessment.
- mP Profiler Meter-based forecasting module essential for bottom-up prediction calculations. Automatically assigns imported data to appropriate templates and forecast projects, selects the most suitable calculation template (where algorithms and predictors are predefined), and assigns projects to aggregation lists by region, customer type, contract type, etc. Leverages Azure Cloud for scalable computation of large data volumes.
- mP Workflow Workflow automation engine that enables users to define and automate forecasting tasks and workflows without individual programming. Supports forecast automation, execution of save/move/delete/delivery tasks, and time-driven or event-driven task execution. A Workflow Monitor feature monitors the entire process and sends alerts for irregularities.
- metaScript Master Rule-based forecasting module with an integrated scripting engine for industrial customer forecasts. Enables creation of synthetic load profiles, special parameter interactions, forecast range limiting, value updating, fixed profile adoption, and load structure extrapolation. Integrates complex industrial customer forecasting into the mP Xnergy framework for significantly improved short-term forecasts.
- mP WebService REST API-based communication module enabling connections and data exchange (import/export) with local applications via LAN and remote applications via the Internet. Supports command triggering for process control, status queries, high-performance retrieval of forecast updates, time series generation, forecast submission, and attribute management via HTTPS requests.
- mP Automation Server High-speed batch processing server for the entire forecasting operation. Manages execution of trainings, predictions, and aggregations with configurable scheduling (day of week, time of day, frequency). Supports parallel processing and Linux-based containers in Azure Cloud for maximum throughput. Can be controlled by users or externally via WebService.
- Forecasting-as-a-Service (FaaS) metalogic executes the entire forecasting process using customer-provided data and delivers forecast results. Customer uploads data and receives results hourly/daily. Includes dashboard access for KPI monitoring. Billed quarterly at agreed flat rate with no hidden costs. Best suited for local/regional utilities without dedicated forecasting teams.
- Software-as-a-Service (SaaS) Customer operates mP Xnergy themselves for their forecasts. metalogic supplies and manages both mP Xnergy and the Azure Cloud Account. Customer is responsible for forecasting operations but metalogic manages technical operations. Cloud costs only incurred when cloud resources are used for forecasting operations.
Quantifiable outcome
- Reduced forecast processing times to a fraction of previous legacy systems (British Gas case)
- +3 more outcomes
Companies that use metalogic
Customer profileNamed customers17 records
Segments5 records
Ideal customer profiles5 records
metalogic technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature9 records
metalogic partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- MicrosoftcoreLong-standing Microsoft development partner and Silver Certified ISV and CSP Partner. mP Xnergy is built on Azure Cloud platform using .NET technology, Azure SQL Database, Blob Store, and Azure Monitor. Microsoft guarantees >99.5% availability for cloud operations.
Scale indicators5 records
Recent moves5 records
Expansion highlights5 records
metalogic competitors and assessment
Company assessmentDirect peers
- Energy Exemplar: Provider of the Plexos energy market simulation and forecasting platform used by utilities, TSOs and traders worldwide. Directly competes with metalogic in energy demand, generation and grid forecasting, especially for European utilities and grid operators.
- KISTERS: German software vendor offering energy data management, load forecasting, renewable forecasting and trading optimization solutions. Highly comparable given shared DACH base, energy forecasting focus and overlapping target buyer (Stadtwerke, suppliers, TSOs).
- PSI Software: PSI's energy management suite (PSIpagas, PSIcontrol) provides load forecasting, grid and gas network optimization. Competes with metalogic for energy supplier and TSO forecasting and dispatch software in German-speaking markets.
- Vortex (Vaisala): Vortex provides weather-driven renewable generation forecasting and energy market analytics; overlaps with metalogic's generation forecasting modules for wind, solar and hydro producers and trading desks.
- Clean Power Research: Specialized renewable generation forecasting (solar/wind) and analytics for utilities and developers. Overlaps with metalogic's renewable generation forecasting use cases across short-term and intraday horizons.
Broad incumbents
- Siemens Smart Infrastructure: Siemens offers grid management, energy IoT and demand response software as part of a broad portfolio. Competes with metalogic indirectly when utilities prefer a single OT/IT incumbent over a specialized forecasting vendor.
- Schneider Electric (EcoStruxure / AutoGrid): Schneider's EcoStruxure and AutoGrid portfolio span DERMS, demand forecasting and energy analytics for utilities and C&I customers. Provides broader energy management competition to metalogic's forecasting product line.
- Hitachi Energy: Hitachi Energy (formerly ABB) provides ADMS, grid analytics and forecasting modules used by TSOs and DSOs. Competes with metalogic's grid forecasting capabilities as part of a broader grid management portfolio.
- Microsoft Sustainability / Azure IoT Energy: Microsoft Azure provides energy industry reference architectures and forecasting/AI services that metalogic builds on. As a partner rather than competitor today, it represents an indirect risk if Microsoft ships native energy forecasting services on Azure.
Emerging players
- TWAICE: Munich-based battery analytics platform that uses forecasting for battery degradation and performance optimization. Adjacent to metalogic in applying ML/time-series forecasting to energy assets and operates in the same German energy-tech ecosystem.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights7 records
Customer concentration
metalogic social profiles
Digital presencemetalogic financial estimates
Financial estimateRevenue estimate
Valuation estimate
metalogic leadership team
Management profileNumber of profiles
Profiles1 record
metalogic funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
metalogic M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about metalogic
What does metalogic do?
metalogic provides machine learning-driven energy forecasting software (mP Xnergy) deployed on Microsoft Azure Cloud, delivering demand, generation, and grid forecasts for electricity, gas, district heating, solar, wind, and hydropower. The company sells a modular forecasting platform with add-on modules (Optimizer, Simulator, Scenario, Profiler, Workflow, WebService, Automation Server, metaScript Master) and offers two managed service models: SaaS (customer-operated) and FaaS (metalogic executes the full forecasting process).
Is metalogic a public or private company?
metalogic is a private company. It is classified as management employee owned and is currently operating.
When was metalogic founded?
metalogic was founded in 2003. It employs 11 to 50 people.
Where is metalogic based?
metalogic is headquartered in Munich, Germany, in the Europe region.
How does metalogic make money?
Two revenue lines are on record. SaaS (Software-as-a-Service) is the primary driver. The others are faaS (Forecasting-as-a-Service).
Who are metalogic's main competitors?
Direct peers on record are Energy Exemplar, KISTERS, PSI Software, Vortex (Vaisala) and Clean Power Research. Broad incumbents are Siemens Smart Infrastructure, Schneider Electric (EcoStruxure / AutoGrid), Hitachi Energy and Microsoft Sustainability / Azure IoT Energy. TWAICE is listed as an emerging player.
Does metalogic have an API?
Yes. mP WebService is a component of mP Xnergy that uses REST API technology, enabling data exchange (import/export), command triggering for process control, and status queries. Connections are established via HTTPS requests by default. It supports high-performance retrieval of forecast updates, generation of time series, submitting forecasts, and managing attribute settings. Designed for maximum data throughput and can be readily adapted to third-party APIs. Can be used to externally control mP Automation Server for on-demand forecast execution and result delivery.
What industry is metalogic in?
metalogic's product category is Energy Forecasting Software. Its primary akta.pro industry code is EUAFAKAH, Forecasting & AI Optimization for Flexibility (Load/Price/Renewables/SoC), with a secondary code of EUADAEAI, Grid Analytics, Forecasting & Decision Support (Load/DER/Outage). Its NAICS code is 54151 and its SIC code is 7373.