Principles
Trust is designed in, not added on.
A rule that only lives in an interface is not a control. Synainesi is built so that your rules hold where the work actually happens.
Enforced where the work happens
Policy is set centrally and applied on the device, so a disabled model stays disabled.
Private by default
Confidential work stays on the device. The cloud governs; it does not collect.
Model-independent
Use the models your organisation approves, and change them without changing your rules.
Approvals that bind
When a person approves an action, the approval covers exactly that action, once.
Evidence without surveillance
Oversight rests on records of decisions, not on copies of everyone’s prompts.
Honest about data
Masked data is described for what it is. Precision is part of trust.
Open by design
The controls that govern AI should be open to see.
Our vision is an open core. The heart of Synainesi, the layer that decides what may leave a device and records why, open source for anyone to inspect, challenge and improve.
Trust in AI governance should not depend on taking a vendor’s word for it. It should come from being able to see how the rules are kept.
Open to inspectFree from lock-inBuilt with the community
The core principle
The cloud defines policy. The device enforces it.
Further reading: A setting is not a control · Evidence without surveillance · Pseudonymisation is not anonymisation
Concept design shown with sample data.