Local Processing
Yonnie is designed to run AI workflows on local infrastructure rather than relying on external model APIs for sensitive tasks.
Privacy-first architecture
AI infrastructure for data that cannot leave the organisation.
Yonnie is designed for teams that operate under strict privacy, confidentiality, and data sovereignty requirements.
The product approach is simple: bring the AI system closer to the data instead of moving the data into public AI systems.
Core principle
No sensitive workflow should depend on uncontrolled data movement.
Many organisations are blocked from adopting AI because public cloud tools create uncertainty around where data is processed, stored, logged, or reused.
Yonnie is designed to reduce that concern by supporting local processing, controlled access, and workflow-specific data boundaries.
Security features
Security features designed around real procurement questions.
Air-Gapped Deployment Option
For high-security environments, Yonnie is designed around deployment models that can operate isolated from external networks.
Controlled Knowledge Access
Organisations define which documents, folders, records, and knowledge sources are available to each workflow.
Role-Based Use
Different users and teams can be given access to different workflows and knowledge areas.
Audit-Friendly Design
Yonnie is designed to support reviewable workflows, clear source boundaries, and traceable usage patterns.
No Public Model Training on Client Data
The intended architecture does not rely on sending client data into public AI systems for training or processing.
Designed for procurement
Built for the questions enterprise buyers actually ask.
Yonnie is designed for organisations where IT, legal, risk, and compliance teams need clear answers before AI can be approved.
- Where is the data processed?
- Does sensitive material leave the organisation?
- Are external AI APIs used?
- Who can access each workflow?
- What documents can the AI use?
- Can the system be isolated?
- Can usage be reviewed?
- Can the deployment start small?
- Can value be measured before wider rollout?
Human oversight
AI-assisted work. Human-owned decisions.
Yonnie is designed to support professional teams, not replace them.
Generated outputs should be reviewed by qualified users before being relied upon. The product is intended to reduce manual effort, improve access to internal knowledge, and accelerate first-pass work while keeping human judgment central.
Discuss security fit