Data location and retention
Choose where business data, files, memory, logs, and backups are stored and how long they are retained.
Deployment options
Balance infrastructure control, operational responsibility, and speed without changing the way agents work.
| Capability | Customer-hosted | Private managed | UnaGo Cloud |
|---|---|---|---|
| Infrastructure ownership | ✓ Your team | Shared operating model | UnaGo |
| Data boundary | ✓ Customer-defined | Dedicated environment | UnaGo-managed environment |
| Model options | ✓ Self-hosted, private, or approved external | Private or approved external | Supported cloud models |
| Internal systems | ✓ Private network access | Private connectivity | Secure integrations |
| Operational responsibility | ✓ Highest control and responsibility | Balanced | Lowest customer overhead |
Data privacy
Self-hosting gives your organisation control over the platform boundary. It does not automatically mean that no data leaves that boundary: configured external models, integrations, telemetry, or update services may still receive data. Full containment requires every dependency and egress path to be hosted or restricted inside the approved environment.
Private execution
Let autonomous teams operate across private and existing software while access remains limited, observable, and approval-controlled.
Connect private services and custom applications through approved interfaces.
Use internal documents, databases, and approved datasets without copying them into disconnected tools.
Run browser work in isolated environments with controlled destinations, files, and credentials.
Operate legacy or browser-only software where an API is unavailable.
Keep model and integration credentials inside the customer security boundary.
Pause before submissions, transactions, publishing, or external communications.
FAQ
Clear answers about containment, models, operations, and internal connectivity.
A fully offline or air-gapped configuration requires models, integrations, telemetry, licensing, and update paths to operate inside the approved boundary. Confirm these dependencies during deployment design.
UnaGo is designed around configurable providers and private or OpenAI-compatible endpoints. The chosen model and inference server should be validated for tool use, context size, quality, latency, and hardware requirements before production.
Only the services you configure should receive data. External models or integrations may receive selected request content, so model routing and network egress must follow your data policy.
Yes. Workspaces can separate department data, agents, memory, files, integrations, and permissions, with central governance above them.
A customer-controlled deployment can connect to approved internal APIs, databases, repositories, and browser-based systems within the permitted network boundary.
The operating model is agreed for each deployment. It should define responsibility for infrastructure, scaling, monitoring, backups, upgrades, models, integrations, security response, and support.