Give people useful AI.
Draft, summarise supplied text and explore ideas in a local workspace backed by a private model. Review the result before using it.
A private AI workspace for your team. Connect your tools and run agentic workflows on your premises with Kubrius Core.
Kubrius Core puts a workspace, a private model and agentic workflows on your premises. Your team can work directly in Core, while the tools and agents you already use connect through its API.
A workspace for people, an API for your tools, and a place to run agentic workflows.
Draft, summarise supplied text and explore ideas in a local workspace backed by a private model. Review the result before using it.
Connect existing workspaces and agents through the Core API. Scope the integration around the tools your team relies on.
Build and run agentic workflows on Core using your local model. Choose the steps and integrations for the job.
Choose the deployment that fits the work and where it needs to be processed.
Start with a task your people already do. These are starting points for a Core discussion; document connections and workflow requirements are scoped with you.
Draft general correspondence, public event invitations and internal announcements from permitted, non-confidential text. Review every answer.
Discuss connecting your existing tools to a local model, and building workflows for matter-related work. Permissions and data handling must be scoped to the task.
Prepare a generic onboarding checklist or rewrite a public newsletter using a local private model.
Explore workflows around recurring client work using Core’s API and local execution. Agree the required data connections and human review steps.
Brainstorm job adverts and draft general outreach using public role details, without candidate records or confidential briefs.
Explore connections to your existing recruitment tools and workflows for routine administration, with candidate-data handling and human review defined for the task.
Where AI runs matters. So do the rules applied to a request and the record it leaves. Explore the cloud workspace’s policy checks, supported identifier masking and decision history, and discuss the controls required for your Core deployment.

AI needs to help people get their work done. Kubrius brings that everyday usefulness together with rules the business can apply and decisions it can understand.
We’re developing Kubrius with professional services teams in mind. Talk directly with Chris about the work you want to improve, the data boundaries you need and whether a pilot makes sense.
The workspace running locally with a private model, an API for connecting existing workspaces and agents, and the ability to build and run agentic workflows.
Core provides an API for connecting them. Compatibility, authentication and any integration work need to be checked against the tools you use; this is not a claim that every connector is prebuilt.
Core runs its private model and workspace locally. Any external services you connect to a workflow introduce their own data flows, which must be agreed. The cloud workspace sends permitted requests to an external model provider.
No. Automatic routing from the cloud workspace to Core is not yet connected. Core’s API and local workflow execution are separate existing capabilities.
Arrange a Core walkthrough with Chris and bring a task you want to improve. We’ll discuss hardware, integrations, support and scope before a quote. A cloud pilot is another option if you want to start without an appliance purchase.
Arrange a Core walkthrough with Chris. Bring a task, the tools you use and the data boundaries you need. We’ll discuss the local workspace, API connections and workflows, then scope the deployment with you.
Your message has been received. Chris will get back to you personally to arrange a time.