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Gynisus

The AI engine Fit Assessment

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The company applies artificial intelligence and machine learning in healthcare payment integrity, offering AI-centric modules with healthcare payer focus and EMR integration.

Blurb

AI-powered insurtech-healthtech company improving health outcomes by predicting medical conditions and associated financial impacts.

HQ Location

Santa Monica (United States)

Founded

2017

Employees

11 - 50

Total funding raised

$50.00K

Funding Status

Seed, March 27, 2023

GYNISUS is redefining payment integrity through clinically intelligent automation. Built by clinicians and data scientists, our proprietary SPAI (Smart, Precise Artificial Intelligence) platform combines advanced AI, medical expertise, and end-to-end automation — empowering payers to detect risk, validate care, and protect spend with precision, speed, and scale.



A New Standard in Payment Integrity

GYNISUS delivers what others only promise:

• Clinically validated precision

• Real-time, explainable AI

• Seamless EMR integration

• End-to-end automation powered by Agentic AI

• Proven cost savings and operational confidence



Modular, Configurable Payment Integrity Solutions

SPAI delivers precision at scale across four integrated domains:

• DRG Audit: Validate DRG assignments, guideline adherence, clinical accuracy.

• Clinical Integrity: Detect coding errors and enable full clinical validation.

• Medical Necessity: Apply pattern analytics and collaborative, value-based care coordination.

• Fraud, Waste & Abuse: Leverage machine learning for systematic SIU flagging.

Each module can run standalone or within an automated pipeline, enabling payers to configure detection and enforcement to meet policy and operational priorities.



Payment Integrity Powered by AI and Agentic Intelligence

GYNISUS is powered by a sophisticated AI/ML framework designed for resilience, adaptability, and clinical precision.

Our platform:

• Transforms structured claims into over 60,000 engineered features using unsupervised models.

• Validates insights via Agentic AI-powered Medical Record Review (MRR), which retrieves and interprets EMRs in minutes.

• Continuously refines its accuracy through supervised learning and reinforcement learning cycles.

• Uses LLMs for real-time interpretation of unstructured clinical narratives.

This intelligent architecture delivers:

✔️ High True Positive rates

✔️ Detection of missed False Negatives

✔️ Clinically and policy-aligned insights in real time