AI-POWERED CLINICAL INTELLIGENCE

Your AI Diagnostic
Partner in Patient Care

Ask clinical questions in plain English and get evidence-based insights for differential diagnosis, treatment planning, and clinical decision-making—powered by medical knowledge graphs.

ANALYZING CLINICAL DATA...
The Challenge

Doctors Have More Data Than Ever.
But Less Time to Make Sense of It.

Information Overload

You have patient history, lab results, imaging reports, and literature scattered across multiple systems. When you need to make a critical diagnosis, you spend more time searching for information than analyzing it.

AI You Can't Trust

Generic AI tools can summarize medical records, but they hallucinate clinical relationships and contraindications. You can't risk patient safety on unreliable AI.

Fragmented Knowledge

Patient data in EHR, lab results in LIS, imaging in PACS, literature in PubMed. You spend precious minutes clicking between systems when every second counts in patient care.

The MedOS Engine

Clinical Intelligence in Action

From data ingestion to decision support—one unified workflow for diagnostic excellence.

1. Unified Patient Context

Securely integrate EHR, LIS, and PACS data into a single knowledge graph. MedOS eliminates data fragmentation by creating a unified view of patient history.

Capability

"Ingest 5 years of history, labs, and imaging in seconds to stop context switching."

2. AI Differential Diagnosis

Ask clinical questions in plain English. MedOS analyzes symptoms against millions of case studies to suggest prioritized, evidence-based differentials.

Example

"Symptom: Fever + Joint Pain
→ Suggestion: Dengue (90% Conf) w/ citation."

3. Treatment Guardrails

Draft treatment plans with confidence. The engine automatically cross-references prescriptions against patient renal function and existing medications.

Safety Check

"Alert: Warfarin + NSAID interaction detected. Check eGFR."

Use Cases

Deep dives into Healthcare AI & Clinical Intelligence

Engineering Dec 4, 2025

Why We Built on Neo4j

Leveraging industry-standard graph databases to build HIPAA-compliant, enterprise-grade healthcare AI systems.

Read Announcement
Rocket Launch
Research Nov 28, 2025

GraphRAG in Healthcare: Beyond Vector Search

How grounding LLMs in clinical knowledge graphs eliminates hallucinations and provides explainable medical reasoning.

Read Case Study
DNA Structure
Performance Nov 15, 2025

Querying Millions of Patient Records in Milliseconds

Optimizing query execution for complex, multi-hop clinical reasoning chains at scale while maintaining HIPAA compliance.

Read Whitepaper
Global Network

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Clinical Technology

Built for Medical Accuracy

Graph Database

Powered by Neo4j for native graph storage and HIPAA-compliant clinical data traversal.

LLM Orchestration

Graph-grounded RAG eliminates hallucinations by anchoring AI in verified clinical data and evidence-based relationships.

Query Engine

High-performance traversal across millions of patient records and clinical events in milliseconds with full audit trails.

"Entering healthcare technology, I found clinical systems stuck in the past. We don't need another dashboard; we need a system that understands the 'why' behind patient outcomes and operational challenges."
SA
Sahabaj Alam Founder, AlloyGraph
Early Access

Join Private Beta Q1 2026

We're onboarding 10 healthcare partners to build MedOS with real-world clinical feedback.

✓ Free during beta period
✓ Shape features for your specialty
✓ Direct access to clinical AI team
✓ HIPAA-compliant integration support

Ideal for physicians in primary care, internal medicine, and emergency medicine.