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The Product

Solgen Labs offers a product that addresses the challenge of high energy costs and inefficient energy consumption in both multi-tenant real estate and commercial properties.

Many businesses face the difficulty of managing energy usage across multiple units while also balancing operational expenses. The unpredictability of energy prices and inconsistent energy supply further complicates this issue, especially in regions with volatile energy markets.


The Offer

Solgen's offer optimises energy use, energy storage, and energy trade, providing a way to lower energy costs and reduce emissions through its AI-driven predictive models and real-time energy arbitrage.

Solgen Labs ideal customers


Commercial real estate

Large, multi-tenant buildings such as office spaces, hotels, and mixed-use facilities that require optimized energy management.


Enterprise sector

Particularly tech companies with high energy consumption and computation needs, where energy efficiency directly impacts operating costs.


Data-heavy industries

Industries like cloud computing and AI/ML services that require energy-intensive data centers and computation power.


Problems solved by Solgen's models

Solgen Labs addresses the challenge of high energy costs and inefficient energy consumption in multi-tenant real estate and commercial properties. Many businesses face the difficulty of managing energy usage across multiple units while also balancing operational expenses. The unpredictability of energy prices and inconsistent energy supply further complicates this issue, especially in regions with volatile energy markets.

Unstable energy pricing

We know that many businesses today suffer from unpredictable energy costs. This problem is obviously making budgeting and planning difficult. Solgen's unique predictive modelling provides a significant edge in forecasting and optimising energy consumption and trade. Solgen therefore supports the customer's need of forecast to handle budget and business planning in a time when competition is primarily focusing on energy storage and energy management.

High energy consumption

Multi-tenant real estate properties struggle to distribute energy efficiently across tenants. The Joules AI system allows businesses to deploy micro data centers within their own properties, offering both energy storage and localised computation capabilities. This not only lowers energy costs but also provides computation resources directly on-site.

Lack of predictive insights

Companies cannot accurately forecast their energy needs or optimise for future market conditions, leading to waste and missed savings opportunities. Dalton AI's ability to predict energy usage and optimize both short and long-term energy costs is a distinct advantage. Solgen's customers benefit from real-time energy trading, reducing waste, and leveraging market opportunities like energy futures.

The Pricing

Solgen will likely use a subscription-based model with a mix of pay-per-use for energy and computation services. Pricing will mainly be based on two things: Energy usage and AI Computation Services. Solgen may also adopt a channel approach further on, targeting large commercial property owners and enterprise businesses through partnerships, system integrators, and distributors.

Energy usage


Subscription fees tied to the amount of energy optimised and traded.

AI computation services


Businesses can subscribe to use Solgen's AI-based infrastructure on-site for tasks like data processing and predictive analytics