Autonomous Clinical
Intelligence.

NurseAI eliminates manual charting by transforming ambient clinician-patient conversations into structured, insurance-ready documentation using state-of-the-art NLP.

Start Life Simulation Cloud Security

SYSTEM ACTIVE: CLUSTER-US-1

> Loading Google Gemini 3 Pro...
> Ingesting context window...
> Status: Monitoring ambient audio.

Our Future & Purpose

Bridging Care and Intelligence.

We don't just build dictation tools.
We pioneer the frontier of technology, serving as an intelligent partner for clinicians to safeguard human health.

Our Mission

To intelligently automate the complexity of clinical administration so that healthcare providers can focus solely on the patient, not the chart.

Our Vision

To become the global infrastructure integrated into every healthcare system, transforming unstructured medical data into valuable insights.

01. Precision

Leveraging Google Medical-tuned LLMs to capture clinical context with over 99% accuracy and precise documentation.

02. Integrity

Prioritizing patient privacy and ensuring absolute data integrity through Zero-Trust security standards.

03. Global Healthcare Equity

Breaking down barriers of language and geography to scale world-class clinical intelligence for universal use anywhere in the world.

Executive Leadership

A hybrid team of clinical experts and AI engineers building the future of care.

Chief Medical Officer

James T. Barfield

MD, FACEP

Former ER Director with 20 years exp. Ensures all AI outputs meet rigorous clinical & billing standards.

Founder & CEO

Andrew Smith, RN

Clinical Informatics

ICU Nurse turned Developer. Bridging the gap between bedside care and backend logic.

CTO / Lead Engineer

Brandi L. Kennedy

Former Infrastructure Lead

Specialist in Large Language Models and Natural Language Processing. Architect of the NurseAI Neural Engine.

Platform Deep Dive

Inside the Workspace

See how NurseAI uses multi-modal processing to turn chaos into order.

SYSTEM ONLINE

CPU LOAD 12%

API LATENCY 24ms

MODULE: AUDIO_DSP

Multi-Modal Capture

NurseAI separates overlapping voices in real-time using Blind Source Separation (BSS). Even in a noisy ER, we distinguish the attending physician from the patient, nurses, and alarms.

Beamforming Noise Cancellation
Speaker Diarization (Who said what)
Acoustic Fingerprinting

> DETECTED_SPEAKER_A (MD): "Rate pain 1-10?"
> DETECTED_SPEAKER_B (PT): "About a 7."
> BACKGND_NOISE: [FILTERED -15dB]

MODULE: GEMINI_CORE

Clinical Reasoning

Raw text is fed into Gemini 3 Pro. We allow extracting 50+ unique clinical entities including medication dosages, anatomical lateralization (Left/Right), and temporal timelines.

python3 extract_entities.py

Using Vertex AI (Gemini 3 Pro)...

Input: "Patient complains of sharp chest pain radiating to left arm."

>> EXTRACTING JSON...
{
  "symptom": "Chest Pain",
  "quality": "Sharp",
  "radiation": "Left Arm",
  "icd_10_map": "R07.9",
  "urgency_score": 0.92
}

MODULE: FHIR_BRIDGE

Structured Export

The final layout is not just text, but a FHIR R4 Resource bundle. This means it can be directly pushed to Epic, Cerner, or any modern EMR without manual data entry.

JSON

XML

HL7 v2

Epic / Hyperspace Doe, John

HPI (History of Present Illness)

45y/o male presents with acute onset chest pain...

Assessment & Plan

1. Acute myocardial infarction (ruled out)
2. GERD
Rx: Omeprazole 20mg daily.

Autonomous Clinical Intelligence.