Sustainability Metrics
for more than 8000 listed and non-listed companies
Our offering
We provide detailed sustainability scores by analyzing vast amounts of textual data. These scores help investors understand a company's commitment to sustainability, making it easier for them to make informed investment choices.
Our features
Our data services enable better descision making.
Comprehensive Data Coverage
Access to an extensive range of non-traditional sustainability data sources, for a large coverage of companies.
State-of-the-Art AI Technology
Utilizing cutting-edge artificial intelligence algorithms to process and analyze large-scale datasets efficiently.
Highest Quality
Delivering high-quality, reliable sustainability metrics that meet the rigorous standards of big clients.
API Access
Seamless integration and direct access to our sustainability metrics via APIs, allowing clients to integrate the data into their existing systems and workflows.
Real-Time Updates
Continuously updating data and metrics to ensure clients have access to the latest sustainability information for accurate decision-making.
Scalable Infrastructure
Cloud-based architecture enabling seamless scalability, ensuring efficient handling of increasing data volumes and user demands.
How we process our data
We make use of state-of-the-art machine learning techniques to process large amounts of unstructured data.
- STEP 1
Data Acquisition
Leveraging state-of-the-art AI, we gather data from various sources, including publicly available datasets, financial reports, news articles, and specialized data vendors. This comprehensive data collection forms the foundation for our analysis.
- STEP 2
Data Preprocessing
With meticulous attention to detail, we clean, transform, and normalize the acquired data to ensure its quality and reliability. This step involves handling missing values, standardizing formats, and removing inconsistencies, ensuring our data is pristine.
- STEP 3
Feature Engineering
Through advanced analytics techniques, we extract and engineer relevant features from the preprocessed data. These features capture key sustainability signals and enable us to develop insightful and actionable metrics for our clients.
- STEP 4
Model Training and Evaluation
Employing cutting-edge machine learning algorithms, we train models on the prepared data to generate accurate and reliable sustainability metrics. Rigorous evaluation techniques validate the models performance, ensuring that the metrics produced are of the highest quality.
Benefits of our products
Empower clients to integrate sustainability considerations into their deciscion making processes.
Enhanced Decision-Making
Our sustainability metrics provide valuable insights for informed investment decisions.
Actionable Insights
Transforming complex sustainability data into actionable recommendations.
Outperformance Potential
Leveraging non-traditional data and advanced analytics for a competitive edge.
Risk Mitigation
Assessing and mitigating ESG risks, ensuring alignment with sustainability goals.
Transparency and Reporting
Facilitating transparent ESG reporting to meet stakeholder demands.
Strategic Differentiation
tegrating sustainability metrics for market differentiation and attracting responsible investors.
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