Msty

Msty began as a desktop application for running and comparing AI models locally, and has since grown into a four-part ecosystem covering individual, team, and organizational use. The core appeal has stayed constant: use the models you want, keep your data on your own terms, and avoid being locked to a single vendor's chat interface.

The products map to distinct jobs. Msty Studio is the private workspace itself — chat, knowledge organization, media creation, and prompt reuse in one place, available as a download. Msty Go adds bounded agents that execute scoped tasks with each step reviewable from desktop or mobile. Msty Nexus is a central model gateway for managing runtimes, providers, credentials, policies, and usage. Msty Stack packages approved sources into versioned Knowledge Stacks that approved AI apps can retrieve, so organizational context stays governed rather than scattered.

Governance is a deliberate focus rather than an afterthought. The company publishes access controls, model and feature controls, administrative audit logs, customer-controlled storage, zero product telemetry, and DPA availability. It is candid that formal SOC 2 and ISO 27001 certification were not yet complete at the time of review, and instead points to a security brief outlining what is available today — a transparency that suits regulated teams evaluating the platform.