Use case
Private AI for the rest of the business.
The same private workspace engineers use can draft documents from your own material for proposals, operations and analysis, without sending that material to another SaaS platform.
What business teams use it for
- Writing PDF, Word, Excel and Markdown documents grounded in files you provide.
- Searching a private context library of PDFs, Office files, text and scanned documents in your own S3 bucket, with retrieval that surfaces relevant excerpts.
- Sharing work through shared projects and team channels in your AWS account, while standalone chats stay on the machine.
The same controls as engineering
Inference goes to Amazon Bedrock in your account, sign-in uses your AWS identities, each person’s library files sit under their own IAM-enforced prefix, and monthly budgets apply to every model call. The desktop app runs on macOS and Windows.
See it against your own codebase.
A pilot runs in your own AWS account, with your models and your material, and ends with findings you can act on.