AI-powered text analytics platform for insurance that analyzes customer feedback and documents. Features include theme identification, sentiment analysis, anomaly detection, and visualization tools for claims experience improvement, churn prediction, and competitive analysis.
Solutions that extract meaningful information from unstructured data sources like claims notes, policy documents, and customer communications.
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Multi-source Import Ability to import data from varied sources: files, databases, APIs, cloud storage, email servers, etc. |
Marketing material highlights ability to ingest data from CRM, emails, and other sources via connectors and APIs. | |
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Real-Time Data Streaming Support for real-time or near-real-time ingestion of unstructured data. |
Stratifyd emphasizes real-time analytics and dashboards in its insurance solution description. | |
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Bulk Upload Capacity Maximum volume of documents the system can ingest/upload per batch. |
No information available | |
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Automated Data Refresh Automated scheduling of data upload or synchronization. |
Platform supports automatic data sync and scheduled ingestion, per documentation. | |
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Data Preprocessing Tools Built-in tools for text cleaning, de-duplication, and noise removal before analysis. |
Features include automated data cleansing and pre-processing prior to analysis. | |
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Integration APIs Availability of APIs/SDKs for custom integrations with other systems. |
APIs for custom data connectors and integrations are mentioned in technical documentation. | |
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Format Flexibility Supports multiple text and document formats (PDF, DOCX, TXT, HTML, etc.). |
Supports a variety of document formats including PDF, DOCX, TXT per product FAQ. | |
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Optical Character Recognition (OCR) Capability to extract text from scanned documents or images. |
No information available | |
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Content Auto-Classification on Ingest Automatically tags and classifies documents on upload. |
Platform automatically tags and classifies inbound data for analysis. | |
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Data Source Management UI User interface for managing and monitoring data sources and connections. |
Provides UI for connection and status monitoring to connected data sources. |
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Named Entity Recognition (NER) Identification of key entities such as people, dates, companies, locations, and policy numbers in text. |
Named entity recognition is explicitly listed as a capability on the platform. | |
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Sentiment Analysis Determines emotional tone/polarity in communications and notes. |
Core sentiment analysis functionality for both feedback and documents featured as selling point. | |
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Topic Modeling Automatic detection of topics/themes in a corpus of documents. |
Automatic topic/theme identification is highlighted in marketing collateral. | |
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Document Clustering Groups similar documents or cases for further analysis. |
Clustering and grouping documents by similarity is part of offered analytics. | |
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Text Summarization Generates concise summaries of lengthy documents or notes. |
Text summarization of feedback/documents is a listed feature. | |
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Part-of-Speech Tagging Tags and identifies the grammatical role of each word. |
No information available | |
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Custom Vocabulary/Tuning Supports user-defined dictionaries or ontology customization. |
Documentation describes custom taxonomies and vocabulary for industry-specific analytics. | |
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Language Support Number of supported languages for NLP analysis. |
No information available | |
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Semantic Search Enables contextual search beyond exact keyword matching. |
Semantic/contextual search mentioned as part of advanced analytics. | |
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Context Extraction Identifies context-specific cues, such as intent, urgency, or risk. |
No information available |
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Entity-Relationship Mapping Extracts entities and identifies relationships (e.g., person-has-policy, claim-linked-to-accident). |
Marketing material references identification of entities and their relationships in analytics process. | |
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Event Extraction Identifies and extracts business events (e.g., claim filed, policy renewed, payment delayed). |
No information available | |
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Attribute Extraction Pulls and maps key attributes (e.g., claim amount, policy effective date) from documents. |
No information available | |
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Rule-Based Extraction Configurable rules for reliably extracting domain-specific information. |
No information available | |
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Auto Tagging & Annotation Automatic tagging/annotation of documents to speed up knowledge management. |
No information available | |
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Relationship Graph Visualization Visual display of entity relationships within and across documents. |
Relationship graph and entity mapping visualization shown in product dashboards/screenshots. | |
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Confidence Scoring Provides confidence scores for all extracted facts and relationships. |
No information available | |
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Extraction Accuracy Rate Average accuracy of automated information extraction. |
No information available | |
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Human-in-the-loop Corrections Allows manual review and correction of extracted information. |
Manual review and feedback/correction loop for AI-extracted insights described. | |
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Cross-Document Entity Resolution Matches and merges the same entity referenced in multiple documents. |
No information available |
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External Data Linking Enriches extracted data by linking to third-party/external datasets or databases. |
External data enrichment via linking to third-party datasets is mentioned. | |
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Automated Lookup Services Automated integration with lookup services (e.g., address verification, ID validation). |
No information available | |
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Profile Enrichment Aggregates additional attributes (demographics, social, other policies) for customers or entities. |
Profile enrichment for customer analytics detailed among solution features. | |
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Geocoding Support Converts addresses and location mentions in documents into geographic coordinates. |
No information available | |
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Risk Indicators Calculation Creates risk indicators based on extracted and enriched data. |
Specific mention of risk indicator calculations for insurance analytics. | |
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Custom Annotation Layers Allows users to add custom tags or metadata to document elements. |
No information available | |
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Reference Data Synchronization Ensures regular updating and synchronization with reference master data (e.g., ICD-10, NAICS codes). |
No information available | |
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History Tracking Tracks enrichment history and provenance for all data points. |
No information available | |
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Manual Data Enrichment Workflow Supports user-driven enrichment and validation cycles. |
No information available | |
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API for Custom Enrichment APIs enabling the integration of proprietary enrichment routines. |
APIs described as supporting custom data and enrichment workflows. |
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Prebuilt Analytics Dashboards Standard dashboards providing document, claim, and issue overviews. |
Numerous screenshots and documentation show prebuilt dashboards for claims, insights, trends. | |
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Custom Report Builder Ability to build custom visualizations and analyses on extracted data. |
Product demos show users building custom reports and analytics views. | |
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Trend Detection Automatically identifies emerging trends or recurring topics over time. |
Trend detection (emerging topics in claims/feedback) is a highlighted feature. | |
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Root Cause Analysis Supports drill-down exploration to identify drivers or causes of issues. |
No information available | |
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Predictive Modeling Support Integrates with or natively supports risk, fraud, or churn prediction models. |
Predictive churn modelling and risk/fraud analytics are advertised capabilities. | |
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Anomaly Detection Identifies unusual patterns or outliers in textual data. |
Anomaly detection in text data noted in product literature. | |
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Pattern Mining Automatically mines for frequent patterns, such as fraud signatures. |
Pattern mining for common issues, themes, and fraud signatures described in analytics package. | |
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Drill-Down Analytics Allows navigation from aggregate visualizations to document-level details. |
Drill-down from dashboard to document/claim level is shown throughout product demos. | |
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Embedded BI Integration Integrates extracted data into existing business intelligence tools. |
Integrations with business intelligence tools like Tableau and PowerBI supported. | |
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Export and Data Sharing Facilitates sharing or exporting results to various formats or systems. |
Exports supported in multiple formats (CSV, PDF, API). |
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Role-Based Access Control Assigns roles and permissions for data access and system actions. |
Platform supports user/role-based access controls. | |
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Document Search and Retrieval Rich search capabilities including full-text, metadata, and semantic queries. |
Rich search and retrieval for documents and claims widely depicted in marketing and docs. | |
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Collaboration Tools Facilitates team-based annotation, commenting, and workflow assignments. |
Platform supports user collaboration/commenting as part of workflow. | |
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Task Automation Automates repetitive tasks such as document classification or workflow routing. |
Automation of classification, tagging, and routing described among workflow features. | |
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Alerting and Notifications Customizable alerts based on triggers (e.g., new risk indicator detected). |
Custom alerts settable for significant findings such as risks or anomalies. | |
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Audit Trails Records user actions and changes for compliance and traceability. |
Audit trail for actions and changes referenced in compliance materials. | |
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Customizable Workflows Enables definition and automation of document review and approval processes. |
Configurable case/document workflows detailed in admin guides. | |
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Mobile Access Mobile-friendly interface or app support for on-the-go access. |
Product lists both web and mobile app access for data and dashboards. | |
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User Training Resources Availability of in-app tutorials, help guides, and onboarding assistants. |
Help guides and tutorials built into the platform. | |
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Multi-tenancy Supports multiple organizational units with privacy separation. |
No information available |
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Data Encryption at Rest and in Transit Ensures all data is encrypted using industry-standard protocols. |
Data encrypted at rest and in transit per security claims. | |
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Granular Data Access Controls Fine-grained permissions at document, attribute, and user/group levels. |
Fine-grained access control available at document and user level. | |
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Audit Logging Comprehensive logging of access and operations for compliance. |
Detailed logging of operations and access described for compliance. | |
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Masking of PHI/PII Automatically detects and masks protected health or personal information. |
No information available | |
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Compliance Certifications Availability of industry or regional compliance (e.g., HIPAA, GDPR, SOC2). |
Compliance certifications including HIPAA and GDPR are listed on the site. | |
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Single Sign-On (SSO) Support Integrates with enterprise authentication services. |
Single Sign-On support referenced among enterprise features. | |
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Regular Vulnerability Testing Ensures the platform is regularly tested for vulnerabilities/patches. |
No information available | |
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Data Retention Policy Management Configurable automated policies for data retention and deletion. |
Automated data retention policy management supported per documentation. | |
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Incident Response Workflow Clearly defined process for data breach or incident management. |
No information available | |
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Privacy Impact Assessment Tools Supports risk analysis regarding privacy for new data sources/processes. |
No information available |
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Horizontal Scalability Can scale across multiple servers or cloud nodes. |
Scalability to multiple nodes and cloud resources stated on enterprise scaling page. | |
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Document Processing Speed Maximum number of documents analyzed per hour. |
No information available | |
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Concurrent User Support Number of simultaneous users supported without degrading performance. |
No information available | |
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Batch Processing Capability Supports large-volume batch analytics jobs. |
Batch analytics capacity and scheduling described among platform features. | |
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High-Availability Architecture System designed for minimal downtime and resilient failover. |
High-availability/failover options mentioned for enterprise clients. | |
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Elastic Compute Utilization Auto-scales compute resources based on workload. |
Cloud-based elastic compute and auto-scaling available. | |
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Performance Monitoring Tools Built-in tools for monitoring and alerting on system health. |
Platform includes monitoring/alerting tools for performance. | |
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Load Balancing Optimally distributes workloads across resources. |
No information available | |
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Processing Latency Average turnaround time for analysis jobs. |
No information available | |
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Throughput Reporting Tracks throughput statistics and historical trends. |
Throughput and usage statistics available for admin/ops teams. |
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Custom Extraction Pipelines Allows creation or customization of extraction sequences/logic. |
No information available | |
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Plugin/Extension Framework Supports plugins for custom analytics, connectors, or UI enhancements. |
No information available | |
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Custom Model Training Ability to train and deploy custom NLP or ML models within the platform. |
Custom model training/deployment supported for enterprise customers. | |
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Configurable UI User interface elements and dashboards are configurable. |
Configurable dashboards and UI elements available as per user guides. | |
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Scripting Support Allows scripting (e.g., Python, JavaScript) for custom processing tasks. |
No information available | |
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Template Management Supports management of policy and workflow templates. |
Template libraries for insurance analytics and report templates included. | |
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Custom Field Mapping Map extracted data elements to custom fields as needed. |
Custom field mapping available for data ingestion and analytics configuration. | |
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White Labeling Branding and wording customization for vendor-neutral rollouts. |
No information available | |
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Version Control Tracks and manages changes to custom pipelines or models. |
No information available | |
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Sample/Test Data Support Easily imports and manages sample/test document sets for development. |
No information available |
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Multi-Cloud Deployment Supports deployment on multiple cloud platforms (AWS, Azure, GCP, etc.). |
Platform advertises support for AWS, Azure, and GCP. | |
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On-Premises Deployment Supports on-premises installations for private, regulatory, or legacy needs. |
No information available | |
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Hybrid Deployment Supports seamless combination of cloud and on-premises environments. |
No information available | |
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SaaS Option Available as a fully managed SaaS service. |
Available in SaaS form according to deployment and pricing pages. | |
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Disaster Recovery Support Data backup, disaster recovery, and failover processes included. |
No information available | |
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24/7 Technical Support Round-the-clock customer or technical support. |
24/7 technical support is offered to enterprise customers. | |
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Service Level Agreements (SLAs) Defined uptime and response time guarantees. |
SLAs and uptime guarantees listed on vendor's enterprise support literature. | |
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Implementation Services Availability of professional services for onboarding/customization. |
No information available | |
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User Community/Forum Active user forum or community for self-help. |
Active user forum and community referenced on the support site. | |
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Documentation Quality Comprehensive, up-to-date, and easy-to-follow documentation. |
Extensive product documentation and videos accessible online. |
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Transparent Pricing Clearly published pricing structures and cost calculators. |
Pricing page provides clear descriptions and published rates. | |
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Consumption-based Pricing Offers usage-based pricing options (e.g., per-document or per-API call). |
Usage-based/consumption billing listed among pricing models. | |
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Seat/User Licensing Option for licensing by named or concurrent user. |
Per-user licensing option is part of standard and enterprise agreements. | |
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Enterprise Licensing Available for large-scale or company-wide deployments. |
Enterprise and multi-user deployment licensing is available. | |
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Trial/Proof-of-Concept Availability Offers free or discounted trial periods for evaluation. |
Free trials offered and highlighted on primary website. | |
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Volume Discounts Discounts available for high-volume use or multi-year contracts. |
Volume-based discounting referenced in enterprise sales documents. | |
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All-Inclusive Packages Supports pricing bundles inclusive of core features and support. |
All-inclusive and bundled plans described on pricing page. | |
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Flexible Contract Terms Customizable terms, duration, and exit options. |
Annual, multi-year, and flexible contract options available per documentation. | |
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Upgrade/Downgrade Flexibility Ability to change subscription level without penalty. |
Upgrades/downgrades of subscription level supported without penalty, per FAQ. | |
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Hidden Fee Disclosure Clear absence of hidden fees for overages, add-ons, or support. |
Pricing page states no hidden fees with full disclosure of all add-on costs. |
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