voize Lands $50M To Transform Nursing Care With Voice Technology

Administrative work consumes more than 5.5 billion hours and costs the healthcare sector around $246 billion each year across the US and Europe. Nearly 30% of nurses’ time is spent on paperwork instead of direct patient care, contributing to widespread burnout and turnover. To address this, voize has developed a voice-activated AI companion that listens and adapts to nurses’ workflows in real time, helping over 75,000 nurses across more than 1,100 care facilities cut administrative tasks by up to 30%.

The company, founded in 2020 by twin brothers Fabio and Marcel Schmidberger alongside Erik Ziegler, was inspired by their experience caring for their grandfather in a nursing home. Fabio Schmidberger, voize’s CEO, explained that the goal was to use voice-enabled AI to eliminate the administrative overload that drives nurses from the profession. The system allows nurses to speak naturally during care, while the AI securely processes documentation and related tasks in the background—saving time and improving patient interactions.

voize’s speech recognition technology is tailored specifically for nursing, distinguishing it from physician-focused AI tools by companies like Nuance (Microsoft), MModal (3M), and DeepScribe. Its on-device large language model is built for clinical workflows, understanding medical shorthand, regional accents, and multilingual speech patterns. Because it runs locally on smartphones without needing a constant internet connection, it protects data privacy and ensures reliability even in low-connectivity environments. The AI assistant integrates with electronic health record systems to manage documentation, scheduling, wound care imaging, medication administration, and emergency alerts.

The company has raised $50 million in Series A funding, led by Balderton Capital with participation from HV Capital, Redalpine, and Y Combinator, bringing its total backing to a new milestone. The funds will fuel voize’s expansion across Europe and into the US, where it plans to partner with skilled nursing providers, build local teams, and adapt its AI companion to American healthcare workflows. Fabio Schmidberger said the company’s next phase will focus on scaling its operations while preserving the precision, privacy, and reliability that make its AI trusted in clinical environments.