AxiomFlow Engine  ·  Healthcare Integration Platform

A local, deterministic engine for HL7, JSON, and FHIR data, deployed inside your firewall.

The Engine does not sit in a cloud pipeline between your systems and your data. It runs as a Windows service on infrastructure you already control, watches every message it touches, and gives your team a documented way to fix the ones that fail, not just a log line saying one did.

AxiomFlow Engine route canvas showing an MLLP input node feeding a mapper, a router, and three MLLP output nodes, all running.
ADT Inbound → HL7 Fan-out Copy: a live route in the Engine's canvas editor

Monitoring

Live operations dashboard: throughput, error rate, SLA health, and endpoint status at a glance.

Message Replay

A Dead Letter Queue that holds failed messages for inspection, edit, and audited resubmission.

Routing & Mapping

A visual route canvas, field-level mappers with a test playground, and an HL7 schema browser.

Security & Admin

Four scoped roles, managed certificates, deliberate environment promotion, and retention policy.

AxiomFlow Engine operations dashboard showing active routes, message throughput, error rate, DLQ depth, SLA health, and uptime.
Operations Dashboard: system health at a glance, auto-refreshing every 30 seconds
Runs as a Windows service, inside your own firewall  ·  Transport MLLP for HL7v2, alongside FHIR endpoints

Security & Compliance

The Engine runs on infrastructure you control. Messages are parsed, mapped, and routed without a third-party cloud in the path. AxiomFlow's applications are built to HIPAA guidelines throughout.

EHR Conversions

Routes and mappers can target your legacy EHR's message formats during a cutover, so historical HL7 traffic keeps flowing while the new system comes online.

Dedicated, Not Shared

Every Engine instance is deployed for one organization: no multi-tenant message queue, and no dependency on a vendor's own uptime.

Engine is licensed per deployment. An annual platform license scoped to your connection count (a connection and a database mean the same thing here: one system endpoint the Engine talks to), plus one of the four AxiomFlow support levels (Self-Service, Guided, Managed, or Strategic) matched to your integration surface area. Connection count and message volume vary too widely for a public rate card, so each environment is scoped and quoted directly. Talk to us with your connection list and we'll build the license and support quote for your footprint.

See it running on your own data.

We'll scope which connections and support level fit your integration footprint, no generic demo dataset.

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