FREN
TokwiseSofia
Power trading
AI-native SaaS platform that empowers energy market participants to optimize trading decisions and efficiently manage renewable energy portfolios.
Company informationLocationSofia
Websitehttps://www.tokwise.com/
Emailoffice@tokwise.com
Founded2018
Employees+8
FundraisingRound opening soon
Founders
Julien MarcenacCo-founder
About Tokwise
Issues resolved
The accelerating shift to renewable energy is exposing the limits of traditional energy portfolio management.
As markets become more volatile and decentralised, renewable energy players are challenged by intermittency, balancing risks, and the need for real-time trading decisions.
Fragmented data, manual processes, and outdated systems reduce operational efficiency and prevent fast, informed action.
Many lack in-house 24/7 trading capabilities, while energy storage and cross-border assets remain underused.
TokWise addresses these pain points by delivering AI-native automation, integrated data intelligence, and scalable solutions that transform complexity into opportunity.
Solution
TokWise offers a Software-as-a-Service platform purpose-built to resolve the key operational and trading challenges of the renewable energy transition:
- AI-native Trading Engine: Tackles market volatility and balancing risks by generating and executing real-time, risk-aware trading strategies through GuardianTrade — customisable to each portfolio’s characteristics.
- Integrated Data & Automation Layer: Replaces fragmented systems and manual processes by collecting, cleaning, and unifying data from assets, forecasts, and markets, enabling faster, automated decision-making.
- Cross-Market Portfolio Management: Simplifies complex, multi-country operations by centralising the management of PPAs, storage, and forecasting — empowering users to scale and diversify without additional internal overhead.
TokWise enables renewable energy players to capture more value from their portfolios, operate efficiently in real time, and compete without the need for in-house 24/7 trading teams.
