voize builds a voice AI assistant purpose-built for care settings, enabling nurses and caregivers to document patient interactions in real time rather than after the fact. The stack—Python, PyTorch, Kotlin, Kubernetes, PostgreSQL—reflects a mobile-first, inference-heavy product; active hiring across support (35 roles) and engineering (22) signals scaling implementation complexity in regulated environments. Projects center on multi-stakeholder rollouts and system integrations across Windows and Linux, pointing to a sales motion that requires deep technical support during customer deployment.
Tech Stack 32 technologies
What voize Is Building
◆Challenges
- Reducing admin workload for nurses
- Admin work pulling nurses away
- Time lost to admin work
- Reducing knowledge debt
- Complex systems pulling away from people
- Infrastructure scaling for user growth
- System integration issues across windows and linux
- Busywork and complex systems
- Time lost to busywork
- Friction at scale
▲Active Projects
- End-to-end rollout of 30-50 customers
- Multi-stakeholder implementations in regulated environments
- Train-the-trainer concepts that scale
- Ai companion for nurses
- System integrations across windows and linux environments
- Technical implementations and escalations
- Ai support performance improvement
- Product activation training
- Safe automation creation
- Develop a scalable api
Hiring Activity
Steady100 roles · 40 in 30d
Department
Seniority
Notable leadership hires: Head of New Markets, Head of Product
Company intelligence
