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A researcher annotating source material in a library

For knowledge-intensive teams

Keep sources, models, and reasoning close together.

Compare approved models, work from source material, and keep useful research patterns available to the team.

Plan a focused pilot

The 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

Use local models when sensitive context should stay close.

Research workflows can involve unpublished findings, source notes, proprietary data, sponsor material, participant information, intellectual property, or confidential analysis.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.

A practical way to begin.

Keep the first workflow narrow enough to evaluate, but real enough to matter.

01

Gather the context

Bring relevant files and approved knowledge into a focused workspace.

02

Compare approaches

Use more than one supported model without rebuilding the workflow each time.

03

Make it reusable

Share the prompt, persona, or Knowledge Stack behind a useful result.

What good looks like

Useful change you can see in the work.

Less tool switchingSource-grounded working contextReusable research patterns

Make research the starting point.

Tell us about the workflow and boundary around it. We’ll help scope a practical first step.

Plan an enterprise pilot