PaxeraVNAi

An AI based vendor-neutral platform that increases efficiency while reducing costs.

  • Archiving and Distribution Platform
  • Efficiently manages data storage and sharing
  • Workflow Engine
  • Streamlines processes and automates tasks
  • AI based dataset cohort builder
  • AI Research Platform
  • Supports advanced AI research and development
  • Inference Engine
  • Facilitates real-time data analysis and decision-making
Advanced Viewing and Data Management

Advanced Viewing and Data Management

  • Integrated Zero Footprint Advanced viewing
  • Provides high-quality visual data representation
  • Accessible without local software installation
  • Data Curation and Algorithm Authoring Platform
  • Enables efficient data management
  • Facilitates the creation of custom algorithms
  • Near-Data Inference Platform
  • Supports real-time data analysis
  • Brings algorithms to the data
Performance and Scalability

Performance and Scalability

  • High Performance
  • Capable of ingesting large volumes of data quickly
  • Scalability
  • Efficiently handles very large volumes (Petabytes)
  • Can ingest a small or medium site’s entire yearly data volume in a single day
Multi-Tenant and Multi-Domain Capabilities

Multi-Tenant and Multi-Domain Capabilities

  • Multi-Tenant and Multi-Domain Segregation
  • Ensures data isolation and security across different tenants
  • Facilitates management of multiple domains within a single platform
  • Aggregation Capabilities
  • Combines data from various sources for comprehensive analysis
  • Supports large-scale data integration
  • AI based Metadata-Based Cohort Creation
  • Programmatically driven approach
  • Supports AI training and clinical trials
  • ElasticSearch indexes contain all metadata
Interoperability and Standards

Interoperability and Standards

  • Interoperability Profiles
  • Comprehensive support for IHE profiles
  • Standards-Based APIs
  • DICOM
  • DICOMweb
  • HL7
  • FHIR
Hardware and Storage Management

Hardware and Storage Management

  • Low Hardware Footprint relative to performance
  • Efficient use of resources
  • Cost-effective solution
  • Scalability
  • Handles increasing data volumes
  • Adapts to growing storage needs
  • Hierarchical Storage Management
  • Cloud Storage – S3, Azure Blob, GCS
  • Performance
  • Maintains high-speed access
  • Optimizes data retrieval

Security and Upgrades

Auditing and Upgrades

Auditing and Upgrades

  • Comprehensive Audit System
  • ARR integration for all configured operations
  • Compliance with ATNA IHE specification
  • Seamless Upgrade Process
  • Design goal of zero-downtime upgrades
  • Applicable for dual datacenter/system deployments
  • Ongoing Development Focus
  • Investment in system implementation
  • Enhanced serviceability features