Barie AI

Barie AI is a self-hosted enterprise agent that executes multi-step tasks across your own tools while keeping all customer data inside your infrastructure. It combines a large connector library, model routing, RBAC and single sign-on, and an immutable audit log, aimed at regulated sectors that cannot send data to the cloud.

Barie AI is a general-purpose enterprise agent built around a single premise: the AI comes to your data, and the data never leaves. Instead of subscribing to a dozen separate copilots that each see a fraction of your systems, teams deploy Barie on bare metal, in their own private cloud or virtual private cloud, or on a fully isolated network. From there one agent reasons across every connected system, plans a multi-step task, and carries it out end to end, from pulling Q2 revenue figures out of Google Drive to posting a recap in Slack. The architecture is the product. Every run is scoped by the organization's role-based access controls, authenticated through its single sign-on, and written to an immutable audit log. The vendor states that customer data egress is zero by design, not by policy, and reports that its agent scored 92% on the hardest tier of the GAIA benchmark in the configuration it ships. The platform advertises a connector library of 100,000+ sources spanning SAP, Oracle, Salesforce, Snowflake, ServiceNow, Databricks, Microsoft 365, SharePoint, Workday and Splunk, plus in-house and legacy systems, with access rights inherited from the employee who invoked the task. Internally, a model router sends each subtask to the model that fits it: small fast models for invoice summarization and classification, frontier reasoning models for hard drafting, and a private fine-tune where one exists. A persistent knowledge lake on the customer's own hardware accumulates what each run learns, so the organization builds a private company brain that a competitor cannot copy. Barie targets regulated and high-stakes sectors first: government and defense, legal, finance, healthcare, semiconductors and deep tech, energy, and central banking. It competes less with consumer chat assistants than with suite copilots and cloud agents, and its pitch rests on refusing the usual trade of control for capability. Pricing is not published, and access currently runs through a demo request and waitlist.