What is PeachBot Med & MedAI+?

PeachBot Med & MedAI+ are AI-accelerated telemedicine and healthcare intelligence platforms designed to support remote consultations, device integration, EMR workflows, and privacy-preserving clinical analytics.

Does PeachBot Med provide medical advice or diagnosis?

No. PeachBot Med & MedAI+ do not provide medical advice, diagnosis, or treatment recommendations. The platform is intended to support qualified healthcare professionals with data visualization and clinical decision support.

What devices can be integrated with PeachBot Med?

PeachBot Med supports integration with ECG monitors, vital sign sensors, imaging devices, laboratory instruments, and other clinical equipment through standardized and custom interfaces.

How does PeachBot Med protect patient data?

PeachBot Med uses privacy-preserving edge AI processing, local data analysis, and secure workflows designed to align with HIPAA and GDPR data protection principles.

Who is PeachBot Med intended for?

PeachBot Med & MedAI+ are intended for use by qualified healthcare professionals in hospitals, clinics, digital medical centers, and remote care environments.

Is PeachBot Med a patented system?

Yes. An Indian patent application covering the core system architecture and operation has been published under Section 11A of the Indian Patents Act in the Official Patent Gazette (Application No. 202541127477). The application is currently awaiting examination.

PeachBot Med — System Features

Modular clinical edge intelligence architecture designed for real-world deployment, device integration, and structured decision support.

Edge-Native Deterministic Modular Deployment-Ready

Explore

Overview Features Technical Specs Resources Commercialization

Clinical Edge AI System

PeachBot Med & MedAI+ is a deployable clinical edge intelligence system designed for real-time monitoring, on-device processing, and structured decision support in privacy-sensitive healthcare environments.

Supports device integration, distributed deployment, and ongoing clinical validation workflows.

System Modules

The system is composed of layered modules that operate together to enable reliable clinical monitoring, structured computation, and distributed intelligence at the edge.

Edge Execution Layer

Executes computation directly on-device, ensuring low latency, operational reliability, and independence from continuous cloud access.

On-device processing for real-time response
Operates in offline / low-connectivity environments
Optimized for SBC and embedded systems

Signal Processing & State Engine

Converts raw physiological signals into structured states, enabling deterministic interpretation and decision support.

Processes ECG, vitals, and sensor streams
State-based modeling aligned with SBC
Traceable and auditable outputs

Device Integration Layer

Enables seamless integration with medical devices and hospital infrastructure.

Supports ECG, vital monitors, imaging, lab systems
Plug-and-play device connectivity
Compatible with distributed care environments

Clinical Workflow Layer

Delivers structured outputs to healthcare professionals, supporting real-time monitoring and clinical workflows.

Monitoring dashboards and alerts
Structured reporting outputs
Designed for hospitals and remote care

Federated Intelligence (FILA)

Coordinates multiple edge nodes while keeping sensitive data localized.

Distributed intelligence across nodes
No raw data centralization
Shared learning signals across deployments

Safety & Governance

Ensures controlled, interpretable system behavior aligned with clinical use.

Human-in-the-loop validation
Auditable system behavior
Compliance-aligned deployment support

Continue to technical specifications for architecture-level details.

View Technical Specifications →