Platform Architecture

Enterprise AI Healthcare Infrastructure

A complete, modular healthcare AI platform designed for enterprise scale. Every component is built for reliability, compliance, and seamless integration.

Architecture

Platform Components

Each component of Carelixy is engineered for healthcare-grade reliability and can be deployed independently or as a unified system.

Infrastructure Modules

AI Inference Engine

GPU-accelerated inference with sub-200ms latency for real-time clinical decision support across all modalities.

NLP Pipeline

Multi-layer NLP processing: tokenization, entity recognition, relation extraction, and clinical concept normalization.

Clinical Data Lake

Petabyte-scale data lake with FHIR-native storage, real-time CDC pipelines, and columnar analytics optimization.

Workflow Orchestration

Event-driven microservices orchestrating patient journeys from intake through followup with intelligent routing.

API Gateway

Rate-limited, versioned RESTful and GraphQL APIs with OAuth 2.0 authentication and comprehensive audit logging.

Security Layer

Zero-trust architecture with AES-256 encryption, TLS 1.3, RBAC, and continuous vulnerability scanning.

Model Registry

Versioned model management with A/B testing, canary deployments, and automated performance monitoring.

Edge Computing

On-premise inference nodes for latency-sensitive applications with automatic model synchronization from cloud.

NLP Engine

Clinical NLP Pipeline

Our NLP engine processes unstructured clinical text through six pipeline stages: tokenization, POS tagging, named entity recognition, relation extraction, negation detection, and clinical concept normalization.

The pipeline supports 12 languages and handles medical abbreviations, misspellings, and colloquial health descriptions with 94% accuracy.

Data Layer

Clinical Data Architecture

Carelixy's data architecture is built on a FHIR-native foundation supporting real-time CDC (Change Data Capture) from connected health systems.

Data is normalized, de-identified, and stored in a columnar format optimized for both OLTP and OLAP workloads, enabling real-time clinical queries and batch analytics.

Explore the platform architecture

Schedule a technical deep-dive with our engineering team to discuss your integration requirements.