Veyl Private
Run the agents you already use or deploy a complete Veyl-managed AI system. Your models, company knowledge, tools, evaluations, permissions, and audit stay inside the environment you approve.
One private operating layer
Veyl handles deployment, evaluation, improvement, permissions, and ongoing operation. Your organization controls the environment, the information, and the final authority.
The outcome
Private infrastructure solves where the system runs. Veyl also solves whether the system works, which tasks it may own, when a person must step in, and when the evidence has gone stale.
Deployment
Both options use the same Veyl reliability layer. The difference is who supplies and operates the underlying compute.
01 / Your infrastructure
Use approved models and compute already controlled by your organization. Veyl connects the operating, evaluation, and permission layers around them.
02 / Veyl appliance
For organizations that want a configured local deployment, Veyl can scope the hardware, models, knowledge layer, agents, controls, and ongoing operation as one system.
The system
Veyl Private is more than local model hosting. It connects the model to the company, gives the agent a controlled operating boundary, and keeps the evidence behind that boundary current.
Approved local or private models, routing, capacity, latency, and cost matched to the work.
Controlled access to internal documents, systems, policies, and operational context.
Assistants and autonomous workflows connected only to the tools and actions they need.
Real company scenarios and rules that show where each deployment succeeds or fails.
Clear decisions for what runs alone, what needs supervision, and what must stop.
Audit, monitoring, improvement, and revalidation when models, tools, policies, or data change.
Security by architecture
The deployment boundary is agreed before access begins. Veyl documents where data is processed, which systems the agent may reach, who may inspect results, and what changes require revalidation.
Read the security approachVeyl Private is a managed AI deployment for organizations that need agents to run inside an approved environment. It combines models, company knowledge, tools, permissions, evaluations, audit, and ongoing revalidation.
Yes. Veyl can be scoped around approved existing models, private cloud, customer-owned servers, or other customer-controlled infrastructure. The exact architecture and data boundary are agreed before deployment.
Where an organization wants a complete local system, Veyl can scope a configured appliance alongside the software and managed operating layer. Hardware, capacity, support, and security requirements are defined for each deployment.
No. An organization may deploy multiple agents and workflows. Each workflow receives its own evidence, permissions, escalation path, and revalidation triggers because the operating risk differs.