QUBIT PAGE LIMITED

Bridging Digital Health
& Autonomous Robotics

The Operating System for the Autonomous Future

Presented by: Mircea Silviu Rusu, Director

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The Problem

Compute Scarcity: Training medical AI requires massive GPU power that hospitals simply don't have.
Critical Latency: Standard CMS platforms are too slow to handle real-time patient telemetry and robotic control simultaneously.
The Hardware Gap: AI diagnostic software is currently disconnected from the physical robots (arms, dispensers) that need to act on it.

The Qubit Ecosystem

1. Carphatian CMS

The Brain. A proprietary, ultra-lightweight data engine (GitHub) handling high-frequency data streams with millisecond latency.

2. Virtual Clinic

The Training Ground. A GPU-intensive cloud platform where we train large multimodal models for disease detection.

3. Qubit-Sim

The Body. Future integration where these trained models control physical medical robots via NVIDIA Isaac Sim.

Market Opportunity

We sit in the gap between pure software and physical hardware.

Telemedicine: Projected to reach $460B by 2030.
Medical Robotics: Growing at a rapid 16% CAGR.
The Infrastructure Void: There is currently no standard OS that links diagnostic AI directly to robotic intervention.

NVIDIA Technology Stack

Our ecosystem is built on the backbone of NVIDIA's high-performance compute.

1

NVIDIA Clara & MONAI
Used in our Virtual Clinic to train models on medical imaging (MRI/CT scans).

2

NVIDIA Isaac Sim
Simulating "Nurse Robots" in a virtual hospital environment before physical deployment.

3

High-Performance GPUs
Powering the heavy compute required for real-time diagnostic models.

Business Model

SaaS Subscriptions
Hospitals pay for recurring access to the Virtual Clinic diagnostic engine.
Compute-as-a-Service
Researchers pay to train their models on our GPU-optimized Carphatian infrastructure.
Core Licensing
Licensing the Carphatian CMS core engine to other MedTech developers who need speed.

Why Us?

Unified Architecture

We don't just do "web" or "AI"—Carphatian CMS connects the interface directly to the deep-learning backend.

Open Core

Code transparency on GitHub builds immediate trust with technical buyers and developers.

Efficiency

Our engine runs faster on less hardware than bloated competitors like Epic or Cerner.

Strategic Roadmap

Q1 2025

Launch Virtual Clinic Beta
Focus on diagnostic tools and data ingestion pipelines.

Q3 2025

Sim Integration
Integrate NVIDIA Isaac Sim for "Virtual Nurse" training and scenario testing.

2026

Edge Deployment
Deploy Carphatian CMS to NVIDIA Jetson for physical medical robots.

The Team

MR

Mircea Silviu Rusu

Director & Lead Architect

Expertise in full-stack high-performance computing, AI model integration, and clinical data security. Architect of the Carphatian CMS engine.

Get In Touch

Join us in building the autonomous future.

clinic.qubitpage.com

github.com/msrusu87-web

contact@qubitpage.com