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The Technology Driven AI
Solgen Labs is a developer of AI-driven prediction models that includes more than just pure data. By combining the business data with human emotional driven factors in real-time, like news, trends and events outside the obvious business scope, the system is capable to create forecasts with extreme precision.

Solgen Labs unique value proposition lies in its combination of AI-driven energy optimisation and decentralised energy infrastructure. The system is based on Solgen Labs’ two AI models: Dalton and Joules.

In Short / Dalton predicts the energy prices. Joules decides when to use, store or trade energy.

Dalton model

Dalton
The stand alone AI model with a unique ability to predict energy usage and optimise 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.

  • Energy price history
  • Global weather history
  • Energy flow and load in regions
  • Bonds and oil prices
  • Global sentiments (News etc.)
  • Currency fluctuations
Joules model

Joules
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 lowering energy costs, but also provides computation resources directly on-site.

  • Current local weather conditions
  • Energy productions history
  • Energy consumption history
  • Local sentiments (News etc.)
  • Predicted energy price from Dalton

Integrated technology & business process

  • Energy and data infrastructure powering the sustainable growth of AI integration i society through edge networks
  • Development of a sentiment based foundation model (Dalton AI) with real-time predictive capabilities for both short and long term
  • Distributed on-board hardware integration (energy storage/trade and computational capabilities)
  • Distributed AI agents in densely populated areas through installations of edge units, micro data centers, in commercial real estate (Joules AI)
  • Generated profits from energy trade (prediction/futures and arbitrage/storage) are distributed to subsidize collective energy usage at multi-tenant or commercial real estate
  • A multi layered horizontal revenue model based on energy trade, AI computational infrastructure and and licenses
  • A zero vision for kWh price and emissions by 2027

Accelerating the World's Transition to Sustainable Energy

The zero-cost energy vision is disruptive since it challenges all existing traditional energy trade in its fundament. Solgen Labs' aim for a zero-cost energy environment already by 2027 also sets it apart from competitors that only focus on energy efficiency without addressing the end goal of drastically reducing costs.