Solution

Available

Private AI

Local model hosting, private retrieval, internal knowledge systems, controlled tools, and optional external model access.

What problem does this solve?

Teams want useful intelligence over private procedures, documents, and operations without sending every task through an unavoidable external platform.

Who is it for?

Organizations with sensitive knowledge, regulated processes, local infrastructure needs, or workflows that benefit from private assistance.

How does Epyk approach it?

Epyk treats AI as controlled infrastructure: private retrieval, local model serving where useful, permission-aware tool execution, and optional outside models when the owner chooses.

What is available now?

Private knowledge systems, retrieval workflows, local model hosting, and controlled assistant tools can be delivered as scoped engagements.

What requires discovery or custom implementation?

Data sensitivity, model requirements, acceptable external access, tool permissions, latency, hardware, and audit needs require discovery.

Deployment models

Connected where useful, private where needed.

Local infrastructure and private operation can form the foundation. Cloud platforms and external APIs may be connected when useful, but they remain optional extensions rather than unavoidable dependencies.

Local model server
Private retrieval over approved data
Hybrid local and external model routing
Controlled tool invocation with audit logs

Capabilities

The solution is scoped to the operation.

These are capability areas, not a promise that every engagement includes every module.

Local model hosting
Private retrieval
Internal knowledge systems
Controlled tools
Permission-aware execution
Offline-capable workflows

Illustrative scenario

A concrete starting shape.

Illustrative scenario: an operations team wants assistance over procedures, drawings, and internal notes without turning every request into a public-cloud dependency. Epyk would define the data boundary, retrieval scope, model routing, and allowed tools before any assistant is deployed.

Discuss Private AI.

Start with the workflow, infrastructure, machine, data, or visibility problem that is costing real time every week.