Resources

A little more detail,
when you need it.

Get to know the app or prepare for a private AI project with your team.

Personal

Get to know InHouse.

Privacy & ownership

What stays local and which controls are yours.

How it works

Enterprise

Plan your first project.

You don’t need all the answers before talking to us. These notes cover the decisions we’ll work through together.

Choosing hardware

Start with what you have. Size the system around the model, documents, and people using it.

Questions to consider
  • Check model memory needs and how many people will use it at once.
  • Allow room for documents, backups, power, and cooling.
  • Try the workflow before committing to a hardware purchase.

Choosing models

Compare answer quality, speed, and license terms using the work your team actually does.

Questions to consider
  • Confirm the license allows your intended use.
  • Test the model with approved documents and record its limitations.
  • Agree how updates and any external model connections are approved.

Access and ownership

Know where your data goes and who looks after the system.

Questions to consider
  • Agree who holds credentials and approves or removes support access.
  • Keep the service off the public internet unless separately approved.
  • Assign backups, restore testing, updates, data export, and deletion.
Explore Enterprise Security and ownership

For a closer look

Guides & evaluation tools.

Answer-quality checklist

Tests for correct answers, missing information, sources, and access.

Sample documents

Fictional manuals for testing retrieval. No customer data.

Pilot planning brief

A short PDF for planning a manufacturing pilot.

Cost workbook

Compare hardware and hosting costs over 36 months.

Industry guides and deployment options