Msty

Msty is a connected set of private AI products (Studio, Go, Nexus and Stack) covering workspaces, agents, a model gateway and knowledge management, with governance controls for individuals, teams and organizations.

Msty is a family of connected products aimed at people who want to use AI for daily work without handing control of their data and model choices to a single vendor. The company positions it as one system for private workspaces, bounded agents, model choice and organized knowledge, and it sells to individuals, teams and larger organizations alike. The lineup is split into four parts. Msty Studio is the private AI workspace where most day-to-day work happens. Msty Go covers agents that operate where the user already works, including on the move. Msty Nexus acts as a central model gateway hub, so an organization can route requests to approved models from one place. Msty Stack focuses on organizing and securing knowledge so the AI has useful, controlled context. Because the pieces are meant to fit together, a buyer can start with one and add others later. Governance is a major part of the pitch. The homepage lists SSO and team access, model and feature controls, administrative audit logs, customer-controlled storage, zero product telemetry and an available DPA. It also states plainly that formal SOC 2 and ISO 27001 certification are not yet complete, which is a useful detail for procurement teams. Dedicated solution pages target education, legal and operations, where sensitive source material and review points matter. A PMO whitepaper shows an independent consultant running private, local client work in Studio, and a Freightos executive credits the product for employee efficiency while staying model-agnostic. In practice, Msty fits between consumer chat apps and heavyweight enterprise AI platforms. It suits privacy-conscious professionals who want local or approved models, and IT groups that need to set boundaries once and let staff work inside them. The pricing page describes a path of starting free, buying Studio, or scoping an enterprise deployment. Teams that only want a single hosted chatbot may find the multi-product structure more than they need, but those standardizing on model-agnostic, governed AI have a coherent option here.