Three ways to work with the platform
Chat
A conversation with the model: a question, a document, an image. The fastest route to value and usually the first step of a deployment.
Agentic work
Multi-step tasks: the agent plans, reaches for data, checks the result and hands over a finished artefact for approval.
Automation
Workflows triggered by a schedule or an event, with an approval gate before any write operation.
Modules
Models
Six variants prepared for different classes of work, all served locally and selected per conversation or per workflow. Alongside them, the same platform can run open-weight models.
Two deployment options
| On-premise | Cluster operated by QAI | |
|---|---|---|
| Where it runs | In your server room, on your hardware | On infrastructure provided by QAI, dedicated to you |
| Air-gapped | Fully possible | Depending on the agreed scope |
| Hardware | On your side, sized with a partner | On our side |
| Who it suits | Hospitals, essential entities, large organisations | Smaller units without a server room of their own |
Security and compliance
- a dedicated, isolated cluster for every client, with no sharing between organisations;
- one identity across the platform, federated with your user directory and multi-factor authentication;
- an audit trail of every query and model decision, required when documenting AI use;
- retention and data location under your control;
- encryption at rest and in transit, network policies that deny connections by default.