On Device
The only clinical AI Scribe
with unlimited on-device,
on-premise LLM local
inference


Industry leading AI Security
Designed for gold-standard data security, our On-Device AI operates entirely within your infrastructure, eliminates cloud dependency and ensures absolute data sovereignty while delivering powerful documentation assistance.
On-Device inference
Works in clinical environments without internet connectivity. On-Device eliminates cloud dependency. Documentation is private, secure, and compliant.
Complete data control
Zero cloud dependency for sensitive information APP, NZPP, HIPAA, GDPR, PIPEDA, NHS compliant
Run On-Device locally on CPU and GPU
Looking for recommended hardware for running AI locally on a CPU? On-Device runs LLMs on any CPU. Many AI models demand data center GPU clusters not with Silknote Local Inference.
Run On-Device locally on Mobile
Adapts whether you're speaking Mandarin or medical specialties, capturing detail with accuracy. Work confidently across any clinical setting. Perfect for diverse practices and growing healthcare teams.
On-Device AI in your web browser
Run Silknote features in Chrome, Safari or Edge. On-Device supports all modern browsers.

Why Local Inference
Matters?
In an era of increasing data breaches, healthcare organizations need solutions that guarantee both security and performance. On-Device is the first Australian clinical AI scribe that operates completely within your control.
Features
Complete Data Sovereignty
- Zero cloud dependency
- Full control over sensitive information
- Data never leaves your premises
Serverless Capability
- All processing on device
- Unmatched in security
- Provable full privacy
Comprehensive Compliance
- APP, NZPP compliant
- HIPAA, PIPEDA compliant
- GDPR, NHS compliant
- Maintains legal protections of health data
Enterprise Deployment Options
- Flexible implementation models
- Custom security configurations
- Integration with existing systems
Multi-Platform Support
- Operating Systems: Linux, macOS, Windows
- Mobile: Android, iOS
- Custom embedded platforms
Efficient Resource Usage
- Standard CPU operations
- Efficient GPU utilization
- Minimal resource consumption
Implementation & Support
- Custom deployment planning
- Security configuration assistance
- Integration support
- Ongoing technical consultation