Private
Enterprise AI
A private AI environment your institution controls: the data, the permissions, the rules, the models, and the cost.
Five layers. One experience.
The chat interface is the visible part. Everything that makes it intelligent, secure, and governed sits underneath.
What your people see
A familiar chat interface, on your own domain. Every other application runs on the same base.
- Sign-in through corporate mailboxes
- One base: chat, agents, administration, audit.
- No application holds data
Reasoning, inside limits
Agents read your knowledge and reason over it, within boundaries you define.
- Read only the knowledge you allow
- You set instructions, tools, and budget.
- The model is a slot: exchangeable, no lock-in.
Permissions follow the person
The same question, asked by two people, receives two different answers.
The full supervisory record. Their role reaches it, so the answer does.
Only what all staff may see. The system stops, and says why.
- Access by permission groups
- Identity federation
- Source-level security policies
A knowledge graph of your operations
Entities and relationships, mapped from your systems and kept current.
- Connect your existing data sources
- Updates itself, on a schedule.
- Traceable to original sources
Models, where you decide
Open-weight foundations that run where your data lives.
- The foundation is built on open-weight models
- Deploys on your private infrastructure
- Supports cloud-based deployment
Connect your existing data sources.
one per knowledge base. A map of the things and relationships your institution actually works with
Entities and relationships together. Your knowledge is a graph, not a pile of files.
Public cloud, private cloud,
or your own infrastructure.
Managed for you.
An isolated environment.
Inside your building.
See it working, on your questions.
An hour, with your own documents and your own rules.
Chat with Cygnus