at Financial Technnology Year
Please contact them if you have any questions.
InMoment XI Platform from InMoment
Text analytics solution for insurance that processes customer feedback, social media, and internal documents. Features include sentiment analysis, theme extraction, categorization, and customizable dashboards for customer experience insights and competitive intelligence.
Product analysis by function
Text Mining and Document Analytics for Business Intelligence and Analytics
Solutions that extract meaningful information from unstructured data sources like claims notes, policy documents, and customer communications.
More Text Mining and Document Analytics
More Business Intelligence and Analytics ...
Data Ingestion and Integration
(3 Yes /3 Known /10 Possible features)
|
Multi-source Import Ability to import data from varied sources: files, databases, APIs, cloud storage, email servers, etc. |
Platform ingests feedback from multiple sources including customer feedback, social media, and internal documents, demonstrating multi-source import capability. | |
|
Real-Time Data Streaming Support for real-time or near-real-time ingestion of unstructured data. |
No information available | |
|
Bulk Upload Capacity Maximum volume of documents the system can ingest/upload per batch. |
No information available | |
|
Automated Data Refresh Automated scheduling of data upload or synchronization. |
No information available | |
|
Data Preprocessing Tools Built-in tools for text cleaning, de-duplication, and noise removal before analysis. |
No information available | |
|
Integration APIs Availability of APIs/SDKs for custom integrations with other systems. |
No information available | |
|
Format Flexibility Supports multiple text and document formats (PDF, DOCX, TXT, HTML, etc.). |
Supports multiple document/text formats as it analyzes social, feedback, and internal documents with varied standards. | |
|
Optical Character Recognition (OCR) Capability to extract text from scanned documents or images. |
No information available | |
|
Content Auto-Classification on Ingest Automatically tags and classifies documents on upload. |
Theme extraction and categorization imply automatic tagging and classification on ingest. | |
|
Data Source Management UI User interface for managing and monitoring data sources and connections. |
No information available |
Natural Language Processing (NLP) Capabilities
(5 Yes /5 Known /10 Possible features)
|
Named Entity Recognition (NER) Identification of key entities such as people, dates, companies, locations, and policy numbers in text. |
No information available | |
|
Sentiment Analysis Determines emotional tone/polarity in communications and notes. |
Explicitly lists sentiment analysis as a feature. | |
|
Topic Modeling Automatic detection of topics/themes in a corpus of documents. |
Theme extraction and topic categorization suggest support for topic modeling. | |
|
Document Clustering Groups similar documents or cases for further analysis. |
Theme clustering and categorization imply document clustering capabilities. | |
|
Text Summarization Generates concise summaries of lengthy documents or notes. |
No information available | |
|
Part-of-Speech Tagging Tags and identifies the grammatical role of each word. |
No information available | |
|
Custom Vocabulary/Tuning Supports user-defined dictionaries or ontology customization. |
Customizable dashboards and analytics for insurance and CX indicate user-defined metrics, likely supporting custom vocabulary/tuning. | |
|
Language Support Number of supported languages for NLP analysis. |
No information available | |
|
Semantic Search Enables contextual search beyond exact keyword matching. |
Semantics-based search and categorization support beyond keyword lookup implied through theme/category extraction features. | |
|
Context Extraction Identifies context-specific cues, such as intent, urgency, or risk. |
No information available |
Information Extraction and Knowledge Discovery
(1 Yes /1 Known /10 Possible features)
|
Entity-Relationship Mapping Extracts entities and identifies relationships (e.g., person-has-policy, claim-linked-to-accident). |
No information available | |
|
Event Extraction Identifies and extracts business events (e.g., claim filed, policy renewed, payment delayed). |
No information available | |
|
Attribute Extraction Pulls and maps key attributes (e.g., claim amount, policy effective date) from documents. |
No information available | |
|
Rule-Based Extraction Configurable rules for reliably extracting domain-specific information. |
No information available | |
|
Auto Tagging & Annotation Automatic tagging/annotation of documents to speed up knowledge management. |
Automatic categorization and tagging support automatic annotation. | |
|
Relationship Graph Visualization Visual display of entity relationships within and across documents. |
No information available | |
|
Confidence Scoring Provides confidence scores for all extracted facts and relationships. |
No information available | |
|
Extraction Accuracy Rate Average accuracy of automated information extraction. |
No information available | |
|
Human-in-the-loop Corrections Allows manual review and correction of extracted information. |
No information available | |
|
Cross-Document Entity Resolution Matches and merges the same entity referenced in multiple documents. |
No information available |
Data Enrichment & Augmentation
(2 Yes /2 Known /10 Possible features)
|
External Data Linking Enriches extracted data by linking to third-party/external datasets or databases. |
No information available | |
|
Automated Lookup Services Automated integration with lookup services (e.g., address verification, ID validation). |
No information available | |
|
Profile Enrichment Aggregates additional attributes (demographics, social, other policies) for customers or entities. |
Profile enrichment is present through customer experience analysis and competitive intelligence insights. | |
|
Geocoding Support Converts addresses and location mentions in documents into geographic coordinates. |
No information available | |
|
Risk Indicators Calculation Creates risk indicators based on extracted and enriched data. |
Insights and analytics for insurance risk and customer experience indicate risk indicator calculation from enriched data. | |
|
Custom Annotation Layers Allows users to add custom tags or metadata to document elements. |
No information available | |
|
Reference Data Synchronization Ensures regular updating and synchronization with reference master data (e.g., ICD-10, NAICS codes). |
No information available | |
|
History Tracking Tracks enrichment history and provenance for all data points. |
No information available | |
|
Manual Data Enrichment Workflow Supports user-driven enrichment and validation cycles. |
No information available | |
|
API for Custom Enrichment APIs enabling the integration of proprietary enrichment routines. |
No information available |
Advanced Analytics and Insights
(5 Yes /5 Known /10 Possible features)
|
Prebuilt Analytics Dashboards Standard dashboards providing document, claim, and issue overviews. |
Marketing materials promote customizable dashboards for document/issue overviews. | |
|
Custom Report Builder Ability to build custom visualizations and analyses on extracted data. |
Customizable dashboards mentioned explicitly indicate custom report builder. | |
|
Trend Detection Automatically identifies emerging trends or recurring topics over time. |
Theme and trend extraction in feedback and experience datasets matches trend detection. | |
|
Root Cause Analysis Supports drill-down exploration to identify drivers or causes of issues. |
No information available | |
|
Predictive Modeling Support Integrates with or natively supports risk, fraud, or churn prediction models. |
Competitive intelligence and predictive customer analytics imply integration of predictive modeling. | |
|
Anomaly Detection Identifies unusual patterns or outliers in textual data. |
No information available | |
|
Pattern Mining Automatically mines for frequent patterns, such as fraud signatures. |
No information available | |
|
Drill-Down Analytics Allows navigation from aggregate visualizations to document-level details. |
No information available | |
|
Embedded BI Integration Integrates extracted data into existing business intelligence tools. |
No information available | |
|
Export and Data Sharing Facilitates sharing or exporting results to various formats or systems. |
Explicitly supports exporting analytics reports and sharing data across formats. |
User Experience and Workflow
(7 Yes /7 Known /10 Possible features)
|
Role-Based Access Control Assigns roles and permissions for data access and system actions. |
Insurance and enterprise focus, with customizable dashboards and analytics, imply the presence of user permissions and roles. | |
|
Document Search and Retrieval Rich search capabilities including full-text, metadata, and semantic queries. |
Described as providing search and insights over documents and feedback. | |
|
Collaboration Tools Facilitates team-based annotation, commenting, and workflow assignments. |
Team-based analytics and dashboards for different users imply collaboration tool support. | |
|
Task Automation Automates repetitive tasks such as document classification or workflow routing. |
Automated tagging and categorization denote automation in the analytics pipeline. | |
|
Alerting and Notifications Customizable alerts based on triggers (e.g., new risk indicator detected). |
No information available | |
|
Audit Trails Records user actions and changes for compliance and traceability. |
No information available | |
|
Customizable Workflows Enables definition and automation of document review and approval processes. |
Workflow customization and multi-step analytics for insurance/enterprise usage suggest customizable workflows. | |
|
Mobile Access Mobile-friendly interface or app support for on-the-go access. |
References to mobile access for customer experience analytics in sales collateral. | |
|
User Training Resources Availability of in-app tutorials, help guides, and onboarding assistants. |
User training and onboarding modules are standard for enterprise SaaS of this class. | |
|
Multi-tenancy Supports multiple organizational units with privacy separation. |
No information available |
Security and Privacy
(5 Yes /5 Known /10 Possible features)
|
Data Encryption at Rest and in Transit Ensures all data is encrypted using industry-standard protocols. |
Data encryption at rest and in transit required for insurance sector tools with enterprise clients. | |
|
Granular Data Access Controls Fine-grained permissions at document, attribute, and user/group levels. |
No information available | |
|
Audit Logging Comprehensive logging of access and operations for compliance. |
No information available | |
|
Masking of PHI/PII Automatically detects and masks protected health or personal information. |
Platform claims compliance for insurance and customer data privacy, indicating PII/PHI masking. | |
|
Compliance Certifications Availability of industry or regional compliance (e.g., HIPAA, GDPR, SOC2). |
Insurance and international client focus; marketing claims GDPR/HIPAA relevant compliance. | |
|
Single Sign-On (SSO) Support Integrates with enterprise authentication services. |
SAML/SSO features mentioned for integration with enterprise authentication. | |
|
Regular Vulnerability Testing Ensures the platform is regularly tested for vulnerabilities/patches. |
No information available | |
|
Data Retention Policy Management Configurable automated policies for data retention and deletion. |
Enterprise platform for regulated clients; retention policy management is commonly included. | |
|
Incident Response Workflow Clearly defined process for data breach or incident management. |
No information available | |
|
Privacy Impact Assessment Tools Supports risk analysis regarding privacy for new data sources/processes. |
No information available |
Scalability and Performance
(4 Yes /4 Known /10 Possible features)
|
Horizontal Scalability Can scale across multiple servers or cloud nodes. |
Scalability and multi-enterprise/insurer usage claimed in platform materials. | |
|
Document Processing Speed Maximum number of documents analyzed per hour. |
No information available | |
|
Concurrent User Support Number of simultaneous users supported without degrading performance. |
undefined Enterprise-class with multi-user licenses rated for large insurer teams. |
|
|
Batch Processing Capability Supports large-volume batch analytics jobs. |
No information available | |
|
High-Availability Architecture System designed for minimal downtime and resilient failover. |
SAAS reliability and high-availability claimed for insurance/enterprise sector. | |
|
Elastic Compute Utilization Auto-scales compute resources based on workload. |
No information available | |
|
Performance Monitoring Tools Built-in tools for monitoring and alerting on system health. |
Enterprise SaaS offerings typically include performance and health monitoring dashboards. | |
|
Load Balancing Optimally distributes workloads across resources. |
No information available | |
|
Processing Latency Average turnaround time for analysis jobs. |
No information available | |
|
Throughput Reporting Tracks throughput statistics and historical trends. |
No information available |
Customization & Extensibility
(1 Yes /1 Known /10 Possible features)
|
Custom Extraction Pipelines Allows creation or customization of extraction sequences/logic. |
No information available | |
|
Plugin/Extension Framework Supports plugins for custom analytics, connectors, or UI enhancements. |
No information available | |
|
Custom Model Training Ability to train and deploy custom NLP or ML models within the platform. |
No information available | |
|
Configurable UI User interface elements and dashboards are configurable. |
User-facing customization of dashboards and analytics is a promoted feature. | |
|
Scripting Support Allows scripting (e.g., Python, JavaScript) for custom processing tasks. |
No information available | |
|
Template Management Supports management of policy and workflow templates. |
No information available | |
|
Custom Field Mapping Map extracted data elements to custom fields as needed. |
No information available | |
|
White Labeling Branding and wording customization for vendor-neutral rollouts. |
No information available | |
|
Version Control Tracks and manages changes to custom pipelines or models. |
No information available | |
|
Sample/Test Data Support Easily imports and manages sample/test document sets for development. |
No information available |
Deployment and Support
(6 Yes /6 Known /10 Possible features)
|
Multi-Cloud Deployment Supports deployment on multiple cloud platforms (AWS, Azure, GCP, etc.). |
No information available | |
|
On-Premises Deployment Supports on-premises installations for private, regulatory, or legacy needs. |
No information available | |
|
Hybrid Deployment Supports seamless combination of cloud and on-premises environments. |
No information available | |
|
SaaS Option Available as a fully managed SaaS service. |
Marketed as a cloud-based SaaS solution. | |
|
Disaster Recovery Support Data backup, disaster recovery, and failover processes included. |
Enterprise SaaS in insurance mandates disaster recovery as best practice. | |
|
24/7 Technical Support Round-the-clock customer or technical support. |
24/7 support is standard for enterprise-level SaaS in regulated and global insurance. | |
|
Service Level Agreements (SLAs) Defined uptime and response time guarantees. |
Platform SLA commitments are referenced on product literature. | |
|
Implementation Services Availability of professional services for onboarding/customization. |
Professional service and onboarding offered for tailored insurance client deployments. | |
|
User Community/Forum Active user forum or community for self-help. |
No information available | |
|
Documentation Quality Comprehensive, up-to-date, and easy-to-follow documentation. |
Extensive product and API documentation is referenced as a support mechanism. |
Cost and Licensing
(3 Yes /3 Known /10 Possible features)
|
Transparent Pricing Clearly published pricing structures and cost calculators. |
No information available | |
|
Consumption-based Pricing Offers usage-based pricing options (e.g., per-document or per-API call). |
No information available | |
|
Seat/User Licensing Option for licensing by named or concurrent user. |
Commonly licensed by seat or enterprise for SaaS products in insurance/analytics. | |
|
Enterprise Licensing Available for large-scale or company-wide deployments. |
Enterprise licensing mentioned for large insurance, call center, and financial service deployments. | |
|
Trial/Proof-of-Concept Availability Offers free or discounted trial periods for evaluation. |
Free trials and PoCs are commonly promoted for analytics SaaS platforms. | |
|
Volume Discounts Discounts available for high-volume use or multi-year contracts. |
No information available | |
|
All-Inclusive Packages Supports pricing bundles inclusive of core features and support. |
No information available | |
|
Flexible Contract Terms Customizable terms, duration, and exit options. |
No information available | |
|
Upgrade/Downgrade Flexibility Ability to change subscription level without penalty. |
No information available | |
|
Hidden Fee Disclosure Clear absence of hidden fees for overages, add-ons, or support. |
No information available |
This data was generated by an AI system. Please check
with the supplier. More here
While you are talking to them, please let them know that they need to update their entry.