BROAD NETWORK · WICHITA, KANSAS

Local & Private AI Infrastructure in Wichita

Keep AI close to the data and people it supports.

Discuss Your ProjectExplore AI

AI

Start with a useful, bounded workload.

Explore local models, private knowledge assistants and AI servers with infrastructure sized for the intended task. Connect model choices to data handling, access and ongoing operation.

  • Local model and AI server planning
  • Private knowledge assistant and retrieval architecture
  • Storage, network and compute readiness
  • User access and data-boundary design
  • Deployment and evaluation planning

Local model and AI server planning

Private knowledge assistant and retrieval architecture

Storage, network and compute readiness

User access and data-boundary design

A PRACTICAL APPROACH

From first conversation to handoff.

01

Choose the use case

Define the users, information sources, desired output and success criteria.

02

Design the environment

Review compute, storage, network capacity and access boundaries.

03

Evaluate before expanding

Test representative tasks, answer quality and operational requirements.

BEFORE YOU START

Common questions.

Does local AI mean data can never leave the building?

That depends on every component in the implementation, including APIs, telemetry, updates and integrations. Data flows must be reviewed explicitly.

Is Charlie the production platform?

No. Charlie is presented as a limited public demonstration. This website preview uses fixed sample answers and is not connected to a production AI system.

CONNECTED SERVICES

Build the complete picture.

LOCAL PEOPLE. REAL SOLUTIONS.

Infrastructure today.
A stronger tomorrow.

Serving Wichita and surrounding areas.
Local support for your team, wherever it works.

Let’s talk about your project