Governed AI
for a brighter,
safer tomorrow.
Synainesi is the controlled, model-independent AI workspace for regulated work: every model, tool and agent your people use, working within your rules.
PeoplePoliciesPossibilities
Trust & control
Built for trust.
Designed for what’s next.
AI governance for regulated organisations: human-centred, private by default and accountable by design.
Governance
built in
Align AI with your policies, risk and regulatory needs.
Agreement
by design
Human intent, organisational rules and AI in sync.
Orchestration
at scale
Every approved model, tool and agent under one set of rules.
A safer tomorrow
for people
Technology that respects people, their work and their privacy.
Same people.
A safer tomorrow.
Where AI works
in harmony with
human intent.
- Governed
- Private by default
- Productive
- Human-centred
Desktop-first. Cloud controlled.
Desktop for work. Cloud for control.
Your people work where they always work. Your organisation decides, in one place, which AI they can use and how.
Desktop app
For everyday work.
A calm, capable AI workspace for Windows and macOS, where confidential work stays on the device.
Synchronised.
Governed.
Always in control.
Cloud control plane
For governance and scale.
One place to approve models, set entitlements and budgets, and see how AI is used, without collecting anyone’s work.
Concept designs shown with sample data.
Our vision
From responsible AI to real progress.
A safer tomorrow for people.
Trusted AI.
Real progress.
People
Policies
Possibilities
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
Insights
Turning the possibilities of AI into trusted progress.
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Model independence is a governance property, not a feature list
Supporting many AI models is easy to claim. Being able to approve, restrict, compare and switch them off under one set of rules is…
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Evidence without surveillance: what an AI control should record
Oversight of AI use needs evidence. It does not need a central copy of everyone’s prompts. The difference shapes what a well-designed control keeps,…
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Agents have permissions, not trust
An AI agent should be able to do exactly what it was allowed to do, and nothing its own output talks it into. That…