Future-proof your
Company Brain
Keep your knowledge yours, independent of the models that power your AI. Slack, GitHub, JIRA, Zendesk, Drive and 100+ more, indexed, permission-aware, and portable across every model you will ever run.
Why it lasts
Models change every few months. Your knowledge should not.
Most AI tools bury your company knowledge inside a single vendor's model. XHawk keeps the index on your side of the line and treats the model as a part you can replace.
Permission-aware by default
Every answer is retrieved under the permissions of the person or agent asking, inherited from the source system. Nobody sees a document they could not already open.
An index you own
Ranking, permissions, graph, vector, lexical and temporal signals live in one knowledge index inside your own XHawk deployment, not inside a model provider.
Swap models, keep the brain
The frontier model is an external, replaceable component. Change it whenever the market moves and your index, permissions and history carry over untouched.
Model independence
The model is a component, not the foundation.
In the architecture above, the frontier model sits outside the XHawk deployment boundary and is called only when a step needs it. That single line on the diagram is what makes the rest portable.
Use the right intelligence for the task
Automatically route each request to the model that best balances capability, speed, and spend.
Bring your own key
Run it on Claude, GPT, Gemini, Grok, open-weight models, or whatever comes next, without locking your knowledge to a single intelligence provider.
No re-indexing on a model change
Because the index sits behind the model boundary, switching providers is a configuration change, not a migration.
Connectors
Connect the tools your work already lives in.
First-party connectors ship configured and permission-aware. Everything else reaches the brain through MCP, the indexing API, or the wider third-party data plane.
Open by design
No connector? Connect it anyway.
The internal tool nobody else has built for is usually the one holding the answer. Three ways in.
MCP servers
Point the brain at any Model Context Protocol server and its tools and resources become available to every agent.
Indexing API
Push documents from an internal system that will never have an off-the-shelf connector, with the permissions attached.
Request a connector
Tell us what your team lives in. Our forward deployed engineers build connectors against real workloads.