Introducing

ATLAS

AI-Powered Healthcare Data Intelligence Platform

ATLAS transforms unstructured healthcare documents into structured, actionable data in real time. Designed for high-volume, high-variance inputs like scanned requisitions, faxes, PDFs, and handwritten forms — with advanced OCR, NLP, and AI orchestration in a secure, compliant, and scalable architecture.

Contact SalesSee It In Action
~50K
Requisitions processed monthly
<1s
Average processing latency
≥90%
Structured data extraction (F1)
65%
Reduction in manual entry

What ATLAS Solves

Healthcare organizations face persistent operational pressures from unstructured data. ATLAS eliminates these bottlenecks with end-to-end AI automation — while keeping your team in control.

  • Manual data entry of inconsistent requisitions (fax, handwriting, forms)
  • Latency and bottlenecks in processing lab and clinical orders
  • Poor accuracy from traditional OCR or template-based systems
  • Fragmented access to structured data needed for triage or decision support
  • Incomplete audit trails for PHI handling, routing, and validation

Key Capabilities

End-to-end automation of document ingestion to structured output
OCR/HTR with layout analysis, redaction, and quality scoring
NLP entity extraction for patient, provider, and test data
Searchable vault with secure access, audit logs, and event traceability
Modular event-based architecture with real-time API access and low latency
Human-in-the-loop review UI for validation workflows
Outputs in FHIR, HL7 v2, JSON, and CSV formats

Core Components

A modular, event-driven architecture designed for healthcare-grade security, scalability, and real-time performance.

AVI

AVI Uploader

Secure, resumable upload system with metadata capture and virus scanning. Accepts fax, PDF, scanned documents, email, and SFTP inputs.

ACP

ACP OCR Engine

Preprocesses documents and extracts layout, text, and field data. Supports both printed and handwritten form recognition with quality scoring.

RDA

RDA Materializer

Materializes query-ready views and keeps caches and indexes in sync for real-time data availability across clinical and operational workflows.

AIS

AIS Search Engine

Full-text and vector search over OCR/NLP data with keyword and semantic capabilities. Enables rapid triage, lookup, and decision support.

VAULT

Encrypted Vault

Central encrypted store for all files and metadata. PHI-compliant with complete audit trails for access, routing, and validation events.

LINK

Data Link Orchestrator

Event pipeline and orchestration layer handling workflows, integration triggers, and routing. Connects all ATLAS components via open APIs.

Built for Healthcare Environments

Healthcare Analytics Platform

Actionable insights from your healthcare data to drive better clinical, operational, and financial decisions.

ML/AI Powered Insights

Advanced models that uncover patterns, predict outcomes, and improve performance — trained on healthcare-specific data.

Privacy-by-Design Architecture

Built with PHI security, PHIPA/HIPAA compliance, and auditability at the core from the ground up — not retrofitted.

Secure Enterprise-Ready Deployment

Cloud or on-premise deployment options that meet enterprise security standards. Kubernetes-native with Azure and AWS support.

Interoperability-Focused Integration

Designed to work with your existing systems. Native support for FHIR, HL7, REST/gRPC, and custom integration via open APIs.

Human-in-the-Loop Review

AI processes at scale, humans maintain oversight. Review interfaces let your team validate, correct, and approve AI-extracted data.

ATLAS in Production

A leading Canadian healthcare diagnostics provider now processes ~50,000 requisitions monthly on ATLAS, achieving 65% reduction in manual entry, ≥90% structured data extraction accuracy, and full round-trip processing in 5–7 seconds — with support for FHIR, HL7 v2, JSON, and CSV outputs.

Read the Case StudyContact Sales