at Financial Technnology Year
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TextReveal from SESAMm
Applies NLP and ML to analyze billions of articles, blogs, forums, and social media posts for sentiment analysis, ESG metrics, and trend detection. Features customizable signals and indicators for investment professionals.
Product analysis by function
Alternative Data Platforms for Investment Research & Analysis
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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Data Coverage & Sources
(6 Yes /6 Known /12 Possible features)
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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. |
SESAMm promotes transparency around data provenance in marketing materials, disclosing data origins. | |
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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. |
No information available | |
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Source Verification Processes in place to verify data authenticity and quality. |
SESAMm states in solution brief they employ automated quality and provenance checks. | |
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Consent & Compliance Ensures data sources are ethically and legally obtained with proper user consent. |
Company claims all data is collected ethically with compliance to user consent and GDPR standards. | |
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Real-Time Data Availability Whether some or all data sources provide real-time or near-real-time feeds. |
SESAMm advertises 'real-time monitoring' of news and social sources. | |
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Unstructured Data Handling Ability to process and integrate unstructured data such as images or text. |
Core capability is unstructured data analysis (text, web, social). | |
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Data Licensing Terms Clarity Transparency and clarity of the licensing rights and restrictions regarding data use. |
Product documentation details clear terms for data use and redistribution. |
Data Quality & Integrity
(7 Yes /7 Known /10 Possible features)
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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. |
Machine learning handles gaps in text data; platform claims to detect and flag data quality issues. | |
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Data Normalization Standardization of datasets for ease of analysis. |
Marketing emphasizes data normalization and pre-processing for analytics. | |
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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. |
SESAMm marketing highlights automated quality checks and data audits. | |
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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. |
Automated duplicate and noise removal is referenced in product documentation. | |
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Anomaly Detection System flags and explains outliers or errors in incoming data. |
System flags anomalies using ML-based detection, per product sheet. | |
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Imputation Techniques Advanced strategies for predicting and filling missing data. |
Imputation and advanced gap-filling are described as core ML/AI features for handling missing data. | |
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Version Control Ability to track changes and updates to datasets for auditability. |
SESAMm states they provide data lineage and tracking for all datasets. |
Analytics & Insight Generation
(9 Yes /9 Known /11 Possible features)
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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. |
TextReveal permits users to build custom queries and indicators using their analytic platform. | |
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Correlation Analysis Supports finding relationships between alternative data and traditional financial metrics. |
Product demo and literature reference correlation analysis between sentiment/ESG and market metrics. | |
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Backtesting Tools Built-in functionality for testing investment hypotheses using historical data. |
Backtesting with historical data is explicit in product sheets and website. | |
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Predictive Modeling Availability of machine learning or AI-driven forecasting modules. |
Predictive modeling with ML/AI modules is a core advertised feature. | |
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Sentiment Analysis Detects and quantifies market sentiment from textual or social media data. |
Natural language analysis for sentiment on news, blogs, forums and social media is platform's core differentiator. | |
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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. |
SESAMm advertises real-time alerting/notifications on spikes in sentiment or ESG mentions. | |
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Enrichment with Traditional Data Integrated blending of alternative and conventional financial data sets. |
Platform enables blending of internal/traditional financial data with alternative sources—emphasized in product demo. | |
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Explainability of Models Features supporting interpretability of predictive signals and models. |
TextReveal includes model explainability and interpretability utilities. | |
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Scalability of Analytics Ability for analytic tools to function with large and growing data sets. |
SESAMm platforms are cloud-native and reference scalability for large dataset analytics. |
Integration & Accessibility
(9 Yes /9 Known /10 Possible features)
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API Availability Provision of programmatic data and analytics access via APIs. |
APIs are available for data and analytic access as stated on the developer and documentation pages. | |
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Standard Data Connectors Prebuilt connectors to common analytics, BI, or portfolio management tools. |
SESAMm lists out-of-the-box connectors with analytics and BI tools. | |
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Bulk Data Export Support for exporting large batches of raw or processed data. |
Bulk export features (CSV, API) described in documentation. | |
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Real-time Streaming Integration Ability for real-time data feeds to integrate into live workflows. |
Real-time streaming and webhook integration is advertised. | |
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Cloud Storage Integration Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.). |
Platform works with major cloud storage providers (AWS/Azure/GCP), as listed on technical docs. | |
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Role-Based Access Control Enables fine-grained access management for different organizational users. |
Role-based permissions are available for different user groups and data access. | |
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User Interface Usability Intuitive and efficient user interface for analysts and developers. |
TextReveal is described as being intuitive for both analysts and data scientists. | |
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Mobile Access Functional accessibility from mobile devices (native apps or web). |
Supports mobile web and possibly native app access, per marketing material. | |
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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 are available for clients, referenced in developer documentation. |
Security & Compliance
(8 Yes /8 Known /10 Possible features)
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Data Encryption Data stored and transmitted using modern cryptography standards. |
Encryption in-transit and at-rest described in technical documentation and compliance statements. | |
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Audit Logging Maintains a complete log of access and actions for compliance. |
Logging and audit trails present for all data/analytics actions, per technical overview. | |
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Regulatory Certifications Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance. |
SOC2, GDPR and/or CCPA compliance is stated on SESAMm website. | |
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User Access Controls Granular user and group-based permissioning on data and analytics. |
Granular user/group permissioning is described in platform admin documentation. | |
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Penetration Testing Regular vulnerability/pentesting assessments are performed. |
SESAMm mentions periodic vulnerability and penetration testing. | |
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Privacy Protection Guarantees regarding data subject anonymity and privacy protection. |
Special attention to GDPR/CCPA and privacy guarantees detailed in compliance documentation. | |
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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. |
Data licensing includes restrictions and management over redistribution highlighted in product terms. | |
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Security Incident Notification Automated alerting regarding breaches or suspicious activity. |
Automated security incident notifications are a standard compliance feature for data vendors. | |
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Vendor Diligence Support Facilitates client due diligence workflows (DDQ, supporting docs, etc). |
No information available |
Performance & Scalability
(5 Yes /5 Known /10 Possible features)
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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. |
Cloud-native architecture supports elastic compute scaling for peak loads. | |
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Parallel Processing Support Ability to process multiple data streams or queries concurrently. |
Parallel query/data processing supported per technical documentation. | |
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Data Retention Policy Flexibility Configurable data storage retention periods. |
Retention and purge settings are configurable at customer/data level. | |
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Performance Monitoring Tools Built-in dashboards or reporting for platform health and performance. |
Platform includes performance monitoring and operational dashboards. | |
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Batch Processing Support Efficient support for large batch data operations. |
Batch data processing/analysis is featured in product workflows. |
User Support & Documentation
(10 Yes /10 Known /10 Possible features)
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Onboarding Support Personalized setup, initial training, and account configuration help. |
Personal onboarding and user setup cited in customer support documentation. | |
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Knowledge Base Extensive searchable documentation and tutorials. |
Extensive documentation, tutorials and resources in English and other languages. | |
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Data Dictionary Comprehensive descriptions of each data field and its origin. |
Comprehensive data field/metric dictionary available in product. | |
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API Documentation Completeness Detail and clarity of technical integration guidelines. |
Full API and integration documentation available online. | |
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Dedicated Account Management Assigned customer success managers for enterprise users. |
Dedicated enterprise account managers referenced in enterprise service offerings. | |
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Live Chat Support Immediate support via chat with platform staff. |
Live chat and instant support available, per support page. | |
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User Training Workshops Regularly scheduled or on-demand platform training. |
Regular and custom workshop training is provided to enterprise users. | |
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Community Forum User-to-user interaction and support hub. |
User community and forum are referenced in support resources. | |
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Localization Support Availability in multiple languages and time zones. |
Multi-language documentation and time zone support present. | |
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Feedback Mechanism Ability for users to suggest features or report issues and track resolution. |
Feedback and feature request mechanisms available in-app and via support. |
Pricing & Contract Flexibility
(7 Yes /7 Known /10 Possible features)
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Usage-Based Pricing Option for pricing tied to volume or levels of consumption. |
Usage-based pricing models offered for API and platform consumption. | |
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Tiered Subscription Models Multiple service tiers for diverse needs and budgets. |
Tiered SaaS offerings are available on request/by quote. | |
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Custom Enterprise Agreements Ability to negotiate bespoke terms for large clients. |
Custom contracts for enterprise clients referenced during sales process. | |
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Transparent Fee Structures Upfront and clear disclosure of fees across all services. |
Transparent fee/tier structure outlined pre-contract. | |
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Free Trial Availability Short-term trial or demo use before commitment. |
Free trial and demo access are offered. | |
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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. |
Add-on pricing for advanced analytics/software modules is clear in commercial documentation. | |
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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. |
Discounts for NGOs/educational use available on application/request. |
Customization & Extensibility
(8 Yes /8 Known /10 Possible features)
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Custom Dashboard Building Ability to design and save custom dashboards for specific analyses. |
TextReveal enables custom dashboard building and signal design. | |
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Workflow Automation Integration with tools for process automation (e.g., alerts, trade signals). |
Workflow integration for alerts, signals, export supported. | |
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Custom Data Ingestion Upload and merge a client’s own alternative or proprietary data. |
Users can import their own data or blend internal datasets. | |
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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). |
Scripting (Python/R) and custom API access provided to clients. | |
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Theming/Branding Customization Visual customization for brand consistency. |
Supports branding customization in enterprise delivery. | |
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Custom Reporting Design and automate custom report formats. |
Customizable reporting tools are part of enterprise module. | |
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Alert Customization User-defined conditions and triggers for event-driven alerts. |
Users can set custom alert rules, triggers, and workflows. | |
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Integration with In-House Tools Ability for organization-specific connectors/modules. |
APIs and custom connectors 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 |
Vendor Stability & Reputation
(3 Yes /4 Known /10 Possible features)
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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 legal disputes found or referenced in publicly available disclosures. | |
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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. |
SESAMm participates in vendor and industry partnerships including sustainability/ESG consortiums. | |
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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. |
SESAMm and TextReveal have been recognized with fintech and AI industry awards. | |
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Business Continuity Plan Documented and tested plans for disaster recovery and service resilience. |
Business continuity and disaster recovery plans are referenced for enterprise clients. |
Innovation & Forward-Looking Capabilities
(6 Yes /6 Known /10 Possible features)
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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. |
Active in data consortiums for ESG/financial data standards. | |
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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. |
Customer beta programs and roadmap feedback called out as part of product management. | |
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Academic Collaborations Partnerships with universities for applied research. |
Partnerships with universities for NLP/AI research cited. | |
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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. |
Sandbox environments for client data science experimentation is present. | |
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API Versioning and Roadmap Disclosure Transparent release plans and versioning for APIs and tech. |
API release notes, roadmap, and versioning public and available. | |
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Cross-Asset Data Opportunities Support for new data categories relevant across markets (e.g., ESG, crypto). |
Product references cross-asset data and support for ESG, crypto, and multiple verticals. |
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