Real-time interpretation,
built for healthcare.
Interphealth is an AI interpreter that sits inside your contact center, translating doctor and patient conversations instantly, at a fraction of the cost of traditional human interpreter lines.
Integrates with the platforms you already run
The product
An interpreter that never makes the patient wait.
No language a patient speaks should mean a lower standard of care. Interphealth removes that gap from your contact center.
Tuned for medical language
Our models are adapted to clinical terminology, drug names, dosages and symptom descriptions, so meaning is preserved, not approximated.
Immediate, low-latency translation
Streaming speech-to-speech translation under 800 ms. The conversation flows like a natural call, not a relay.
Scales beyond human interpreters
Spin up thousands of simultaneous interpreted calls on demand, no queue, available 24/7.
How it works
Drops into the call. Disappears into the conversation.
- 01
Patient calls in
An incoming call reaches your contact center through your existing telephony stack.
- 02
Interphealth joins the line
We bridge into the call as a transparent participant, listening to both sides.
- 03
Speech is translated in real time
Each turn is interpreted with sub-second latency, preserving clinical meaning.
- 04
Conversation is logged & auditable
Transcripts and translations are captured with the metadata your compliance team expects.
The platform
Fits your stack. Doesn't lock you in.
Cloud agnostic
Deploy on AWS, Azure, GCP or your own infrastructure. Same product, your perimeter.
Bring your own model
Currently powered by OpenAI realtime models, swappable for any provider that fits your policy.
Connects to your telephony
Native integration with AWS Connect, Twilio and any WebSocket-based audio stream.
Built for healthcare data
PHI handled with encryption in transit and at rest, role-based access and audit-ready logs.
See Interphealth on a real call.
Request early access and we'll set up a live translated call against your own scenario, so you can hear the latency, the accuracy on clinical terms, and how it would sit inside your contact center.