Boolbyte runs on ByteEngine: managed FHIR servers for health records, and health AI models behind simple APIs. Build your own applications on it too. We run the servers, compute and upgrades. You build the product.
Create a FHIR server in the console and get a base URL and a scoped API key.
ByteEngine handles provisioning, authentication, backups, scaling, and upgrades.
Healthcare AI models are one API call away, with no GPUs or inference servers to run.
You build the application. ByteEngine runs the rest.
Standards-based FHIR servers, run for you.
Spin up FHIR R4 servers in minutes and build against standard APIs. Every server runs ReFHIR, the open-source FHIR R4 server built by our team. We run the infrastructure.
Explore Managed FHIRHealthcare AI models through APIs.
Call healthcare AI models from your code. We run the GPUs and inference servers.
Explore Health AI InferenceProvision and run FHIR servers for your application. We run the operations. Your team stays on the product.
Get an endpoint and credentials for your application.
HL7 FHIR R4 on ReFHIR, the open-source server built by our team, to store, retrieve, and exchange data.
Deployment, upgrades, backups, monitoring, and scaling, handled.
Authentication and scoped access for your application.
Call supported models through managed APIs. We run the compute and serving behind them.
Call supported healthcare models from your code.
Deployment, scaling, and serving, handled.
See requests, usage, and performance.
Clinical text, information extraction, medical vision-language, speech-to-text (Whisper, Chirp), and more.
Provision a managed FHIR server.
Set FHIR configuration and access controls.
Use your endpoint and API key from any application.
Develop against standard FHIR. We manage the servers.
Your first FHIR server is minutes away.
Start buildingShip with FHIR servers and model serving already handled.
Add interoperability and healthcare data exchange with managed FHIR.
Put healthcare AI models into your product through an API.
Managed FHIR and healthcare AI, alongside your existing architecture.
FHIR environments and healthcare models for experiments, managed for you.
ByteEngine runs ReFHIR, the open-source FHIR R4 server built by our team. Read the code, or our healthcare AI and interoperability research.
A FHIR server stores and serves healthcare data through standard HL7 FHIR APIs. With ByteEngine, we provision and operate it, including deployment, monitoring, backups, upgrades, and scaling.
Self-hosted means your team provisions, secures, backs up, scales, and maintains the server. Managed means we do, and your team works on the application.
FHIR R4 (4.0.1) today. Additional versions can follow. If your application depends on a particular version, tell us.
Create a project and a FHIR server in the console, get a base URL and a scoped API key, and connect through standard FHIR APIs.
ReFHIR is the open-source FHIR R4 server built by our team. ByteEngine is the managed, hosted service; ReFHIR is the open engine underneath it. Its code is public on GitHub, so you can see exactly what serves your data.
Running a trained model to produce outputs, such as processing clinical text or extracting information from documents. ByteEngine Health AI Inference serves supported healthcare models through managed APIs.
The catalogue is organized by task: clinical text, medical vision-language, speech-to-text (Whisper and Google Chirp), and general-purpose models. Each entry shows whether it is self-hosted or sent to an external processor, its limitations, and its price. It grows as the service does.
Yes. Managed FHIR and Health AI Inference are independent, and neither needs ByteOps, ByteNetwork, or ByteCare.
Create a project, get a FHIR server or a model endpoint, and make your first call in minutes. Hospital engineering teams and integrators can talk to us about managed deployments.
Start building
