Private deployment
Enterprise AI on infrastructure you control.
Deploy Gleyk in an agreed environment and choose suitable models. Architecture accounts for data sources, compute resources, network constraints and operational requirements.
A
Use our template and check the terms against the current policy.
Task context
Knowledge
Documents and selected knowledge bases
Skills and memory
Instructions for preparing the output
Business systems
Permitted data and operations
Within configured permissions and connections
The path to an outcome
A clear sequence of work.
Define sources, permissions and review checkpoints before the workflow runs.
- 01
Define requirements
- 02
Select architecture and models
- 03
Deploy a pilot
- 04
Verify operations
The outcome
An agreed plan for hosting, source connections and model use for your company.
Deployment considerations
Configured for your data and rules.
Data remains within chosen boundaries only with appropriate model, integration and network configuration.
Explore controlsStart with your work
Bring us a workflow. Let’s see what AI can do.
Tell us about your team’s task and systems. Together we’ll scope a pilot and decide how to evaluate the result.