Companion.energy

Companion.energy provides energy management, forecasting, and flexibility software to connect energy procurement with operational execution. The platform unifies disparate energy data and uses AI-driven decision-making to optimize energy use, generation, and storage. This automation delivers measurable cost savings and enhances revenue from flexible assets and renewable energy integration.

Traction 10/10

Brussels, Belgium · HQ

Founded 2022113K+ followers

Data & Analytics
Clean Technology
Energy
Enterprise Software
Software Only

Updated 2 months ago

Funding

Raised to date

$11.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 3 rounds

€7.8M · Seed

Announced Jun 2026

Disclosed cumulative: $11.2M

3/3

RoundDateAmountValuationInvestors

Founders

2 founders

Thomas Vyncke

Founder

Jonas Verstraeten

Founder

Product

Problem

Industrial companies face increasing complexity in energy management due to fluctuating energy prices, the growing share of renewables, and the need to align energy consumption with sustainability goals. Existing energy management systems often rely on static reports and fragmented data, making it difficult to achieve real-time control and optimize energy usage based on market conditions. This complexity leads to difficulties in predicting and managing energy budgets, as well as challenges in reducing emissions and maximizing the use of renewable energy sources.

Solution

Companion.energy offers a software platform that integrates operational and market data to provide industrial companies with real-time insights and optimization signals for energy management. The platform creates an accurate energy model tailored to the user's specific operational context and contract mix, supporting various flexible asset types, on-site energy generation, hedging, and offtake contracts. Using advanced analytics and AI-driven forecasting, the software delivers optimization signals via an API for integration with hardware and software systems, or through a BI suite for detailed reporting. This enables users to shift from reactive energy consumption to proactive flexibility, reducing energy costs, limiting cost fluctuations, and eliminating emissions.

Target Audience

The primary target audience includes industrial companies, part manufacturers, biotech firms, electric utilities, telecommunications companies, data centers, and charge point operators managing significant energy consumption and seeking to optimize energy costs and sustainability.

Features

Seamless data integration of operational, financial, and market data, including renewable energy forecasts, grid emissions, and weather information
Custom energy cost model based on individual contracts and operations
AI-driven forecasting and risk analytics for smarter energy decisions
Real-time optimization signals delivered via API for integration with flexible assets and operational processes
BI suite for detailed reporting, including breakdowns of costs by site and contract, risk exposure analyses, and tracking of energy-related emissions
Support for various contract types, including hedging, PPAs, day-ahead, imbalance, and internal transfer contracts
Continuous benchmarking of multiple forecasting algorithms for maximum accuracy
Integration with SCADA systems and EMS controllers