Aegis Abstract

Compliance Certain. Context Preserved.

HIPAA-Compliant Intelligence Platform for Unstructured Medical Records

Zero-config local redaction that transforms any patient record into LLM-ready context — unlocking frontier AI reasoning while maintaining complete PHI/PII isolation and audit transparency.

Redaction Isn't the Product. Intelligence Is.

Healthcare organizations need advanced AI reasoning to synthesize patient histories, streamline intake, and support clinical decision-making — but frontier LLMs pose unacceptable PHI exposure risks.

Aegis Abstract eliminates this trade-off. Use the most powerful reasoning models available—safely—while maintaining complete HIPAA compliance and audit transparency.

The Challenge

Existing solutions force an impossible choice: use weak, narrow-domain models that are HIPAA-safe but lack reasoning depth, or risk compliance with powerful external models.

The Solution

Aegis Abstract accepts any patient record—lab reports, clinician notes, treatment histories, mixed-format PDFs—and with zero human preprocessing, locally extracts and redacts all PHI/PII using onboard NLP.

The redacted data is converted to LLM-friendly Markdown with semantic label tokens (preserving clinical context while removing identifiers), then safely passed to frontier models for advanced summarization, reasoning, and insights abstraction.

The Result

  • Comprehensive clinical intelligence that consolidates any number of records
  • Save hours per patient on intake and evaluation
  • Complete HIPAA firewall and local audit trail
  • Frontier AI reasoning without compliance risk
First of three stacked sceenshots of Aegis Abstract's demo user interface, showing a list of Jobs abd Statuses.
Second of three stacked sceenshots of Aegis Abstract's demo user interface, showing a Final Report with 'highlighted text' and 'Audit' button visible.
Third of three stacked sceenshots of Aegis Abstract's demo user interface, showing an Audit Viewer with a left-hand list of matches and righ-hand view of the original .pdf file with the selected matched list item highligthed on the .pdf page.

Primary Use Cases

📋

Clinical Intake & Evaluation

Consolidate dozens of records into organized summaries. Dramatically reduce practitioner time on chart review.

👨‍⚕️

Specialist Referral

Synthesize multi-visit histories for specialists. Provide HIPAA-compliant summaries for consultations.

💡

Clinical Decision Support

Use frontier LLMs to surface patterns, flag gaps in care, suggest diagnostic paths—safely.

Prior Authorization

Generate clean, de-identified clinical narratives for payer submissions while maintaining compliance.

📊

Population Analytics

Normalize heterogeneous sources for BI and cohort analysis with privacy guarantees.

🔬

Research & Data Sharing

Prepare de-identified datasets for trials and registries with longitudinal consistency.

What Makes Aegis Abstract Different

🧠

Intelligence-First Platform

The output isn't a redacted PDF—it's clinical intelligence. Generates consolidated summary reports from dozens of documents.

Zero Human Preprocessing

No masking, no templates, no training. Works on any format: scanned images, digital PDFs, tables, handwritten notes.

🔒

Local PHI/PII Detection

100% local processing—no sensitive data leaves your environment. Detects all 18 HIPAA PHI identifiers plus contextual PII.

🏷️

Context-Preserving Redaction

Semantic label tokens ({{PATIENT_NAME}}, {{DOB}}) preserve clinical context so LLMs can reason effectively.

🚀

Frontier LLM Integration

Unlock SOTA reasoning models (GPT-4, Claude) on fully anonymized, LLM-ready Markdown—safely and compliantly.

🔍

Complete Audit Trail

Audit Viewer lets users trace any report phrase back to the original source PDF for verification and compliance.

Business Value

🩺

Actionable Clinical Intelligence

Transform hundreds of pages into timely summaries clinicians actually use. Enable comprehensive patient history consideration without the time burden—improving care decisions and outcomes.

🤖

Unlock Frontier AI

Use the most advanced reasoning models—safely. Move beyond narrow medical models with limited capability.

📉

Massive Time & Cost Savings

Reduce intake processing costs by 75%+ and save hours per patient. Automate consolidation that would otherwise require manual chart review and documentation prep.

🚀

Zero Onboarding

No templates, no training, no labeling. Deploy in days, not quarters.

🔗

Agentic Architecture & EHR Integration

Seamlessly integrates with existing EHRs via FHIR R4. Broker specialized tools via SOTA orchestrator while maintaining HIPAA firewall across all transactions.

Aegis Abstract vs. Traditional Approaches

Dimension
Aegis Abstract
Narrow Medical Models
"Send Everything" to LLMs
Reasoning Power
High (SOTA models)
Limited; domain-specific
High (SOTA models)
HIPAA Compliance
✅ Yes (local redaction first)
Yes
❌ No (PHI exposed)
Setup Required
None (zero config)
Model training, labeling
None (but risky)
Document Flexibility
High (any format, any size)
Often template-dependent
High (page limited, opaque ingestion)
Context Preservation
Semantic labels (safe + contextual)
N/A
Full (but unsafe)
Audit Trail
Complete (local + Audit Viewer)
Limited
None
Multi-Document Synthesis
High (safe)
Weak
High (but unsafe)

HIPAA-Aligned by Design

  • Complete PHI isolation: All 18 HIPAA PHI identifiers detected and redacted locally before any external model access
  • Data locality: All sensitive processing runs on-prem, air-gapped, or inside your VPC
  • Semantic context preservation: Label tokens maintain clinical meaning while ensuring complete de-identification
  • Irreversible redaction: No non-purposeful re-identification pathways; redaction is burned-in and permanent
  • Complete audit trail: Immutable activity logs, Audit Viewer, and per-document reports support compliance reviews
  • Encryption everywhere: TLS in transit; at-rest encryption; key management via your KMS
🔒

Flexible Deployment

🏢 On-Premises / Air-Gapped

Strictest data locality for maximum control and complete data sovereignty

☁️ VPC Single-Tenant

Customer-managed keys with cloud LLM access and scalability

🔄 Hybrid

Local redaction + cloud SOTA models on anonymized text only

Bring Frontier AI Reasoning to Healthcare—Safely

Aegis Abstract eliminates the trade-off between compliance and intelligence. Transform any patient record into HIPAA-compliant, LLM-ready data—unlocking SOTA summarization that saves practitioners hours per patient.

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