Our team
Our mission
FINGREEN AI's purpose is to accelerate the transition to a sustainable financial system through the power of data, Al and traceability
Our Values
Innovation
Technology and innovation are key to our solution. We have developed proprietary technology allowing us to optimize every process.Long Term Engagement
Our goal is to help all private market stakeholders understand and master their portfolio's ESG performance and achieve their long term goals.Absolute Traceability
Moving away from black-box methodologies and greenwashing, transparency and traceability are the fundamentals of our ESG solutions.Open and explainable methodology
One of the main challenges for FINGREEN AI is to ensure complete transparency, from data collection to reporting. Thus, our users, as well as their partners, can verify that no bias has been introduced. This aims to enable informed investment choices based on reliable and accurate information, thereby reducing the prevalence of greenwashing, whether intentional or not.
This approach is reflected in the open licensing of all our data sources, definitions, and translations of various concepts from regulatory texts, as well as all source codes involved in calculating different metrics and indicators.
Through Greenlang, FINGREEN AI introduces the first open-source component promoting transparency, interoperability, and collaboration in the ESG reporting domain.
FINGREEN AI firmly believes that open source is the future of ESG data and that by adopting this approach, we can eliminate greenwashing and promote a sustainable financial system that prioritizes transparency, accountability, and genuine environmental impact.
AI is the future of ESG
At FINGREEN AI our goal is to harness the unparalleled capabilities of AI to drive efficiency, accuracy, and depth in ESG reporting.
Automated Precision Through AI:
We are working to automation data collection processes, striving to minimise
human intervention and maximise precision. Reducing human hours, and human error. Our AI hub is
equipped with sophisticated algorithms that autonomously read and interpret vast arrays of
documents with speed and accuracy.
Introducing our AI assistant:
Central to our AI-driven approach is our AI assistant, acting
as the bridge between users and our advanced AI infrastructure, ensuring a user-friendly and
efficient ESG data collection process. Employing Natural Language Processing (NLP) and machine
learning capabilities to engage in meaningful interactions, this virtual assistant streamlines
the user experience, offering guidance, answering queries, and facilitating seamless data input.
It is like having 1000 ESG experts helping you in your data collection.
Data Quality Redefined:
In the realm of ESG, the quality of data is paramount. Our AI algorithms
continually evolves with learning from patterns, historical data, and industry best practices.
This iterative learning process refines our AI models, empowering them to adapt to changing
regulatory landscapes and evolving sustainability standards.
