Gather the context
Bring relevant files and approved knowledge into a focused workspace.
For knowledge-intensive teams
Compare approved models, work from source material, and keep useful research patterns available to the team.
Plan a focused pilotThe operating reality
Research rarely happens in one prompt. Teams need room to compare, revisit sources, and make the useful parts of the process repeatable.
PII and private data
Research workflows can involve unpublished findings, source notes, proprietary data, sponsor material, participant information, intellectual property, or confidential analysis. Those workflows are best evaluated with a local-first model setup where sensitive research context can stay on infrastructure you control.
Msty supports that pattern with Studio, Stack, and Nexus: a private workspace for the work, governed knowledge for the context, and a local gateway for models, credentials, routing, and visibility. Hosted models can still have a place, but sensitive work should be routed intentionally.
Work in a private AI workspace where teams can use local models, files, prompts, and Knowledge Stacks together.
Msty StackPackage approved internal sources into governed knowledge that AI workflows can retrieve without rebuilding context every time.
Msty NexusRoute requests through a local AI control center for model access, credentials, routing, and usage visibility.
Keep the first workflow narrow enough to evaluate, but real enough to matter.
Bring relevant files and approved knowledge into a focused workspace.
Use more than one supported model without rebuilding the workflow each time.
Share the prompt, persona, or Knowledge Stack behind a useful result.
What good looks like
Tell us about the workflow and boundary around it. We’ll help scope a practical first step.
Plan an enterprise pilot