Provides real-time data on companies’ ESG performance using AI-powered data analysis, helping investors integrate ESG considerations into their investment decisions.
Tools that collect, process, and analyze non-traditional data sources such as satellite imagery, social media sentiment, credit card transactions, and mobile location data to generate investment insights not available from conventional sources.
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Number of Data Sources Total distinct alternative data sources (e.g., satellites, social, POS) the platform integrates. |
No information available | |
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Source Diversity Range of data types covered (e.g., geospatial, transactional, web-scraped, sensor data, etc.) |
No information available | |
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Data Source Transparency Level of disclosure around data origins and collection methods. |
Product details mention transparency into sources and methodology; transparency is a key selling point. | |
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Coverage Geography Geographical breadth of alternative data (e.g., global, regional, local markets). |
No information available | |
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Historical Depth Amount of historical data available for backtesting and longitudinal analysis. |
No information available | |
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Source Update Frequency How often new data is ingested from sources. |
No information available | |
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Exclusive or Unique Sources Whether the platform provides access to otherwise unavailable/uncommon datasets. |
Includes proprietary NLP analytics and signals unique to Truvalue Labs' platform. | |
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Source Verification Processes in place to verify data authenticity and quality. |
Describes automated and manual QA to ensure data accuracy and source verification. | |
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Consent & Compliance Ensures data sources are ethically and legally obtained with proper user consent. |
States compliance with global data collection and privacy laws; user consent on applicable datasets. | |
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Real-Time Data Availability Whether some or all data sources provide real-time or near-real-time feeds. |
Real-time and near-real-time ESG insights provided via platform. | |
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Unstructured Data Handling Ability to process and integrate unstructured data such as images or text. |
Processes unstructured data such as news text, reports, and regulatory filings. | |
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Data Licensing Terms Clarity Transparency and clarity of the licensing rights and restrictions regarding data use. |
Website and documentation provide clear licensing and usage restrictions. |
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Error Rate Frequency of data processing or reporting errors. |
No information available | |
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Missing Data Handling Systematic mitigation of gaps or missing values in data streams. |
Platform highlights advanced techniques for filling or flagging missing data. | |
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Data Normalization Standardization of datasets for ease of analysis. |
Standardizes diverse data sources for comparability. | |
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Data Granularity Level of detail available (e.g., hourly, daily, per store, per SKU). |
No information available | |
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Quality Assurance Processes Robustness of quality control and regular audits. |
Details quality checks and regular audits in documentation. | |
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Latency Time delay between data creation and its availability on the platform. |
No information available | |
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Deduplication Automated detection and removal of duplicate entries. |
Describes deduplication of articles/data as part of platform pipeline. | |
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Anomaly Detection System flags and explains outliers or errors in incoming data. |
AI/ML-based anomaly and outlier detection is a described platform feature. | |
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Imputation Techniques Advanced strategies for predicting and filling missing data. |
Mentions advanced imputation for incomplete media coverage or company activity periods. | |
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Version Control Ability to track changes and updates to datasets for auditability. |
Tracks changes to methodology, data, and metrics over time (version control) for audit purposes. |
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Prebuilt Analytics Number of out-of-the-box analytical models or dashboards for typical investment use cases. |
No information available | |
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Custom Analysis Capability Ability to build custom models or queries on platform data. |
Custom analysis via API and interactive query tools is advertised as a core capability. | |
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Correlation Analysis Supports finding relationships between alternative data and traditional financial metrics. |
Correlation analysis tools mentioned; identify driver events vs. equity price. | |
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Backtesting Tools Built-in functionality for testing investment hypotheses using historical data. |
Built-in backtesting functions using historical data enable signal and strategy validation. | |
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Predictive Modeling Availability of machine learning or AI-driven forecasting modules. |
AI-driven ESG scoring and predictive modules described as platform differentiators. | |
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Sentiment Analysis Detects and quantifies market sentiment from textual or social media data. |
Sentiment analysis based on text sources is highlighted in product documentation. | |
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Geospatial Analytics Ability to map and analyze spatial data (e.g., satellite imagery). |
No information available | |
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Real-Time Alerting Automatic notification of significant changes or anomalies relevant to portfolio holdings. |
Real-time alerting of ESG incidents/events relevant to coverage universe. | |
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Enrichment with Traditional Data Integrated blending of alternative and conventional financial data sets. |
Blends alternative ESG signals with traditional financial data in analytics. | |
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Explainability of Models Features supporting interpretability of predictive signals and models. |
ESG scoring explanation and signal transparency described in materials. | |
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Scalability of Analytics Ability for analytic tools to function with large and growing data sets. |
Analytics engine built to scale with millions of documents and thousands of companies. |
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API Availability Provision of programmatic data and analytics access via APIs. |
API access for data and analytics is widely marketed to integrators and clients. | |
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Standard Data Connectors Prebuilt connectors to common analytics, BI, or portfolio management tools. |
Connectors for BI tools (e.g., Tableau, Power BI) described in support docs. | |
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Bulk Data Export Support for exporting large batches of raw or processed data. |
Enables export of raw and processed ESG data in bulk. | |
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Real-time Streaming Integration Ability for real-time data feeds to integrate into live workflows. |
Supports streaming of event data into client systems (e.g., for real-time monitoring). | |
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Cloud Storage Integration Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.). |
Supports cloud-based storage and integration with AWS, GCP, Azure etc. | |
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Role-Based Access Control Enables fine-grained access management for different organizational users. |
Provides detailed role-based and user permissions for enterprise clients. | |
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User Interface Usability Intuitive and efficient user interface for analysts and developers. |
Praised for its clean and intuitive web dashboard UI by analysts and reviewers. | |
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Mobile Access Functional accessibility from mobile devices (native apps or web). |
No information available | |
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White-Labeling Possibility to customize the platform to align visually and functionally with client brand. |
No information available | |
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SDK Availability Provision of software development kits for easier custom integration. |
SDKs for Python and R available for direct integration. |
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Data Encryption Data stored and transmitted using modern cryptography standards. |
Describes encryption of data in transit and at rest using industry-standard protocols. | |
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Audit Logging Maintains a complete log of access and actions for compliance. |
Maintains detailed audit logs for access and data changes. | |
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Regulatory Certifications Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance. |
States GDPR and CCPA compliance and claims third-party privacy/security certifications. | |
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User Access Controls Granular user and group-based permissioning on data and analytics. |
Supports granular user and group access controls as part of enterprise offering. | |
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Penetration Testing Regular vulnerability/pentesting assessments are performed. |
No information available | |
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Privacy Protection Guarantees regarding data subject anonymity and privacy protection. |
Emphasizes privacy guarantees and anonymization where required. | |
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Data Residency Options Ability to specify jurisdictions where data is stored or processed. |
No information available | |
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Third-party Data Sharing Controls Restrictions/controls over redistribution of consumed data. |
Provides controls and terms to restrict redistribution of licensed data. | |
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Security Incident Notification Automated alerting regarding breaches or suspicious activity. |
No information available | |
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Vendor Diligence Support Facilitates client due diligence workflows (DDQ, supporting docs, etc). |
Provides standard documentation and assistance for clients' vendor due diligence reviews. |
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Concurrent User Capacity Maximum number of active users supported simultaneously. |
No information available | |
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Query Response Time Median time taken to return analytics or data queries. |
No information available | |
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Data Ingestion Rate Volume of new data processed per unit of time. |
No information available | |
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Uptime SLA Service Level Agreement (SLA) on platform operational uptime. |
No information available | |
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Peak Data Storage Capacity Maximum volume of data the platform can host. |
No information available | |
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Elastic Compute Scaling Automatic scaling of compute resources to match workload. |
Describes cloud-based elastic scaling for variable workloads and peak events. | |
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Parallel Processing Support Ability to process multiple data streams or queries concurrently. |
Analytics and ingestion pipelines support concurrent, parallel data processing. | |
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Data Retention Policy Flexibility Configurable data storage retention periods. |
No information available | |
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Performance Monitoring Tools Built-in dashboards or reporting for platform health and performance. |
System health and performance dashboards are incorporated for client and vendor monitoring. | |
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Batch Processing Support Efficient support for large batch data operations. |
Supports large-scale batch operations as part of standard analytics workflows. |
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Onboarding Support Personalized setup, initial training, and account configuration help. |
Onboarding, setup, and training/support available per product implementation guides. | |
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Knowledge Base Extensive searchable documentation and tutorials. |
Public knowledge base and support tutorials available online. | |
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Data Dictionary Comprehensive descriptions of each data field and its origin. |
Contains a data dictionary with field definitions and source attributions. | |
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API Documentation Completeness Detail and clarity of technical integration guidelines. |
API documentation described as comprehensive and regularly updated. | |
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Dedicated Account Management Assigned customer success managers for enterprise users. |
Enterprise clients can get a named account manager. | |
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Live Chat Support Immediate support via chat with platform staff. |
No information available | |
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User Training Workshops Regularly scheduled or on-demand platform training. |
Provides scheduled and custom user training workshops for clients. | |
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Community Forum User-to-user interaction and support hub. |
Community forum mentioned in support section of the website. | |
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Localization Support Availability in multiple languages and time zones. |
No information available | |
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Feedback Mechanism Ability for users to suggest features or report issues and track resolution. |
User portal allows users to submit feedback and track status. |
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Usage-Based Pricing Option for pricing tied to volume or levels of consumption. |
No information available | |
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Tiered Subscription Models Multiple service tiers for diverse needs and budgets. |
Offers several subscription/feature tiers. | |
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Custom Enterprise Agreements Ability to negotiate bespoke terms for large clients. |
Can negotiate custom agreements with large asset managers/enterprises. | |
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Transparent Fee Structures Upfront and clear disclosure of fees across all services. |
Pricing and fee information is detailed on the website and marketing materials. | |
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Free Trial Availability Short-term trial or demo use before commitment. |
Free demo or limited trial is available on request. | |
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Minimum Contract Term Shortest term for standard agreements. |
No information available | |
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Add-On Modules Pricing Clarity and flexibility of pricing for optional advanced modules. |
No information available | |
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Early Termination Options Availability of low-penalty or pro-rata contract cancellation. |
No information available | |
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Unlimited User Pricing Flat-rate pricing not tied to user count. |
No information available | |
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Nonprofit/Educational Discounts Special pricing for academic or nonprofit organizations. |
No information available |
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Custom Dashboard Building Ability to design and save custom dashboards for specific analyses. |
Users can design and save custom dashboards; this is highlighted in demos. | |
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Workflow Automation Integration with tools for process automation (e.g., alerts, trade signals). |
Workflow automation for alerts and signals is supported via APIs. | |
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Custom Data Ingestion Upload and merge a client’s own alternative or proprietary data. |
Clients can upload their own proprietary/alternative data for integration. | |
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Plugin/Extension Framework Ability to add modules/extensions for new functionalities. |
No information available | |
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Scripting/Programming Interface Support for custom script development (e.g., Python, R APIs). |
Offers scripting support via Python/R SDKs and API for custom analysis. | |
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Theming/Branding Customization Visual customization for brand consistency. |
No information available | |
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Custom Reporting Design and automate custom report formats. |
Provides custom scheduled reporting and user-defined templates. | |
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Alert Customization User-defined conditions and triggers for event-driven alerts. |
Alerts can be customized based on user parameters. | |
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Integration with In-House Tools Ability for organization-specific connectors/modules. |
API and SDKs allow integration with internal tools. | |
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Deploy in Private Cloud Support for on-premises or VPC deployment for sensitive clients. |
No information available |
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Years in Business How long the platform provider has operated. |
No information available | |
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Referenceable Clients Number of notable clients willing to provide references. |
No information available | |
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Third-Party Reviews Number and quality of external analyst or customer reviews. |
No information available | |
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Legal Disputes Disclosed History of significant legal action or unresolved disputes. |
Not as far as we are aware.* No record of legal disputes found in public searches; risk not entirely ruled out. | |
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Financial Transparency Annual financial reporting or third-party audits available. |
No information available | |
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Industry Partnerships Participation in alliances or consortia that enhance credibility. |
Partnered with S&P Global and other financial data industry partners. | |
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Churn Rate Percentage of clients discontinuing service per year. |
No information available | |
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Client Growth Rate Annual increase in platform users or logos. |
No information available | |
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Awards/Industry Recognition Recognition by reputable industry organizations. |
Received industry awards for ESG innovation (e.g., Chartis RiskTech100). | |
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Business Continuity Plan Documented and tested plans for disaster recovery and service resilience. |
Describes formal tested continuity/disaster recovery plans in enterprise documentation. |
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AI/ML Model Upgrades Frequency of innovation or upgrades in analytic and predictive engines. |
No information available | |
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New Data Source Integration Rate How quickly new alternative data sources are made available to users. |
No information available | |
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Participates in Data Consortiums Active member of data-sharing or standards organizations. |
No information available | |
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Visualization Innovation Frequency of new or advanced visualization techniques introduced. |
No information available | |
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Beta Testing/Client Feature Input Mechanisms for early adopter programs or client-driven roadmap. |
Participates in client advisory councils and offers early access to new features. | |
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Academic Collaborations Partnerships with universities for applied research. |
No information available | |
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Open Data Initiatives Support or contribution to open alternative data/tech communities. |
No information available | |
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Data Science Sandbox Environment for clients to experiment with new data and analytics. |
No information available | |
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API Versioning and Roadmap Disclosure Transparent release plans and versioning for APIs and tech. |
API versioning and release notes are publicly documented. | |
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Cross-Asset Data Opportunities Support for new data categories relevant across markets (e.g., ESG, crypto). |
Supports ESG, SDG, and other cross-asset data frameworks. |
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