Build AI medical transcription tools with speech-to-text you can trust

Our models are trained on a rich and diverse dataset, including lots of medical terminology. To enhance the accuracy even further, you can add specific vocabulary that speech recognition engines usually get wrong into our Custom Dictionary. That way, we'll get those terms right every time.

Yes, your patient data is secure. Our systems prioritize privacy with end-to-end encryption, strict access controls, and compliance with healthcare regulations like HIPAA. We ensure data is processed securely and stored responsibly, protecting sensitive information while delivering accurate, real-time solutions tailored to healthcare needs without compromising confidentiality or trust. We also offer on premises deployments.

We can, with accurate transcription in under 1 second. Accurate live transcription in healthcare ensures precise documentation of patient interactions, reducing errors and enhancing communication among care teams. It aids in capturing critical details during consultations, supports legal compliance, and improves patient safety. Real-time accuracy minimizes administrative burdens, allowing healthcare professionals to focus on delivering efficient, high-quality patient care.

Ambient AI in healthcare seamlessly integrates intelligent systems into clinical environments, automating documentation, monitoring patient vitals, and optimizing workflows. By using speech recognition and IoT, it enhances care delivery, reduces administrative burdens, and ensures timely interventions, allowing healthcare providers to focus on patient care while improving efficiency and outcomes unobtrusively.

Yes, we transcribe a wide range of accents and dialects with high accuracy. Our advanced ASR models are designed for inclusivity, ensuring diverse voices are recognized regardless of language, accent, or dialect. This capability empowers global accessibility, enabling your contact center to support multiple languages and delivers reliable transcription across varied linguistic and cultural contexts.

Conversational AI in healthcare streamlines processes and enhances care by automating tasks like scheduling, symptom triage, and medication reminders. It transcribes clinical interactions, reducing documentation burdens, and monitors patient data for anomalies. Additionally, it offers on-demand mental health support, improving accessibility, efficiency, and patient outcomes through intelligent, personalized interactions.