What is ByteEngine?
Introduction to ByteEngine
What Is ByteEngine?
ByteEngine is a FHIR-native AI orchestration platform built for healthcare. It helps developers, researchers, and organizations build intelligent healthcare apps, agents, and workflows — all without needing to manage backend infrastructure or know complex healthcare data standards.
Think of ByteEngine as your all-in-one engine for:
- Managing healthcare data (FHIR & DICOM)
- Running AI agents and models
- Building automated clinical workflows
- Ensuring compliance and security from day one
Why ByteEngine Exists
Healthcare data is complex, fragmented, and sensitive. AI tools are powerful but rarely built to understand healthcare formats like FHIR or DICOM. ByteEngine bridges that gap — giving developers, clinicians, and innovators a FHIR-native platform that speaks both languages: healthcare and AI.
With ByteEngine, you can go from an idea to a live, compliant healthcare AI workflow — in hours, not months.
Who Can Use ByteEngine?
| Role | How ByteEngine Helps |
|---|---|
| Developers | Build AI-driven healthcare apps without managing servers or compliance. |
| Hospitals & Clinics | Connect your EMR, automate workflows, and run internal AI assistants. |
| Researchers | Analyze data and run experiments using compliant, ready-to-use AI infrastructure. |
| Startups | Prototype and deploy healthcare AI products fast. |
| Educators & Students | Learn FHIR, healthcare AI, and orchestration in one environment. |
Key Features at a Glance
| Feature | Description |
|---|---|
| HealthDataStore | Instantly spin up FHIR and DICOM servers — globally or regionally. |
| AI Workers | Deploy healthcare-aware AI agents that reason, react, and act. |
| Knowledge Bases | Create searchable vector stores for RAG and document search. |
| Workflows | Visually orchestrate pipelines, models, and workers into automation flows. |
| Pipelines | Connect legacy data to FHIR via AI-powered schema mapping. |
| Apps (Bots & Subscriptions) | Build event-driven healthcare automations. |
| File Storage | HIPAA-compliant cloud storage for FHIR-linked files. |
| Compliance | Built-in HIPAA, GDPR, and healthcare standards support. |
Real-World Use Cases
- AI-Powered Clinical Notes — Generate SOAP notes automatically from transcribed visits.
- Lab Result Alerts — Detect abnormal test values and notify physicians.
- Imaging Workflows — Analyze DICOM scans with AI and link reports to FHIR patient data.
- Legacy Data Modernization — Convert SQL databases into real-time FHIR APIs using AI mapping.
- Patient-Facing Chatbots — Build compliant chatbots that read and write to FHIR records.
Quickstart Example
Here's what setting up your first healthcare AI agent looks like with ByteEngine:
import { EngineClient } from '@boolbyte/engine';
const client = new EngineClient({ apiKey: 'YOUR_API_KEY' });
// 1. Create a health data store
const healthStore = await client.dataStore.createFhirStore({
name: 'my-fhir-server',
region: 'global',
fhirVersion: 'R4',
type: 'serverless'
});
// 2. Create an AI worker
const worker = await client.worker.createWorker({
name: 'lab-analyzer',
defaultModelName: 'medgemma-27b', // Healthcare model for clinical analysis
instructions: 'You are a healthcare AI assistant specialized in lab result analysis.',
toolConfigs: {
tools: [
{
toolName: 'fhir_access',
config: { serverId: healthStore.data.id }
}
]
}
});
// 3. Create a session and run a task
const session = await client.session.createSession({
workerId: worker.data.id,
metadata: { patientId: '12345' }
});
const task = await client.task.createTask(session.data.id, {
instructions: 'Analyze the lab results for patient 12345 and identify any concerning values',
model: 'medgemma-27b'
});
Platform Overview
Platform Overview — showing HealthDataStore, AI Workers, Workflows, Pipelines, Apps, and KnowledgeBases connecting under a unified control plane
Next Steps
- Core Concepts - Understand the key terms and architecture
- Quick Start - Build your first application
- Health Data Store Guide - Set up your healthcare data infrastructure (FHIR, with DICOM support)
- AI Guide - Create intelligent healthcare workers