Technology Architecture

Discover the unified, secure platform driving our digital health solutions. Built for maximum security, scalability, and compliance.


Cloud Infrastructure

Multi-cloud architecture built for high availability, redundancy, and secure hosting of clinical data.

Amazon Web Services (AWS)

AWS is our primary cloud infrastructure, providing scalable services with HIPAA and GDPR certifications.

Google Cloud Platform (GCP)

GCP complements our multi-cloud strategy with advanced AI/ML capabilities and geographic redundancy.


Interoperability Standards

Open standards so your information integrates with your existing systems, with no lock-in to a single vendor.

FHIR HL7

FHIR HL7

FHIR standardizes healthcare data exchange via modern RESTful resources.

OMOP CDM Model

OMOP CDM Model

OMOP CDM transforms heterogeneous data into a common schema for analysis at scale.

SNOMED CT

SNOMED CT

SNOMED CT provides comprehensive clinical terminology for precise coding.

LOINC

LOINC

LOINC is our standard for universal identification of lab tests and observations.

ICD-10

ICD-10

ICD-10 ensures uniform coding for reporting, billing, and epidemiology.


Core Development & Data Science

The software, analytics, and bioinformatics engine driving our platforms and the advanced analytics of Beluga Science.

Python

Powers our backend with modern frameworks for secure RESTful APIs, ETL pipelines, and the core data science ecosystem (Pandas, NumPy, Scikit-learn).

Angular

Angular structures our enterprise web applications with a robust, scalable, and high-performance component-based architecture.

TypeScript

TypeScript adds static typing to our frontend code, ensuring code robustness, reducing errors, and improving maintainability.

R

R specializes in advanced statistical analysis, clinical biostatistics, and high-fidelity scientific data visualization.

bcftools

Efficient processing of molecular-level genomic datasets and high-throughput variant manipulation in VCF/BCF formats.

PLINK

High-performance execution of genome-wide association studies (GWAS) and large-scale genetic quality control.