Healthcare That Speaks Every Language.
Real-time sign language interpretation built for clinical settings — so Deaf and hard-of-hearing patients get the same care experience as anyone else, the moment they walk in.
Live interpretation · ASL ⇄ English
Patient (signing)
"I have had a sharp pain in my chest for two days."
Clinician (spoken)
"Has it spread to your arm or jaw?"
Patient (signing)
"No, only the chest. Worse when I breathe."
Auto-detected · ASL · 0.8s latency
The Problem
Deaf patients still wait — sometimes hours, sometimes forever
- On-call interpreters are scarce, expensive, and often unavailable after hours
- Family translators introduce privacy risk and clinical error
- Telehealth platforms assume hearing — Deaf patients drop off
- Local sign languages are rarely supported at all
The Solution
A clinical interpreter, always on, in the language of the patient
- Sub-second two-way interpretation on any tablet camera
- ASL, BSL, Auslan, ISL, KSL and growing community-led local language coverage
- Built with Deaf clinicians and community advisory boards
- Private-by-default: video stays on-device or on your VPC
Capabilities
Designed With Deaf Clinicians
Real-time Two-Way Translation
Patient signs, clinician speaks — both see the full meaning in their own language, captioned, in under a second. No interpreter waitlist.
Multi-Sign-Language Support
ASL, BSL, Auslan, ISL, KSL, and the most-used local sign languages in East Africa. The model expands as community linguists contribute.
Voice + Sign in One Encounter
Mixed conversations (Deaf patient, hearing family, hearing clinician) flow on a single thread — speech-to-sign and sign-to-speech in the same call.
Works on Any Tablet
No specialist hardware. Any tablet camera turns into a triage-room interpreter. Bedside, ED, OB, telehealth — the same app.
Clinically-Validated Vocabulary
Medical terms, anatomy, medications, and consent language vetted with Deaf clinicians and community advisory boards.
Private by Default
Video is processed on-device or on your VPC and discarded after the encounter — never used to train external models.
How It Works
Camera / Mic
Visual Tracking
Sign Model
Bidirectional Render
Clinician + Patient
Where It Ships
Emergency Department
When a Deaf patient walks into your ED, the average wait for a human interpreter is over an hour. Curely brings that to zero — the triage nurse can communicate before the patient's even been registered.
Learn how it works< 1s
Translation latency
0 min
Interpreter wait
24/7
Coverage
Ready to Redefine Healthcare with AI?
Book a 45-minute working session with our team. Bring a real workflow — leave with a plan to deploy Curely AI in your environment.