Public AI is for public tasks. Core is for your private data.
Kubrius Core is private AI infrastructure for your business. Run local models, power private document search, and deploy agentic workflows without sending data to the cloud.
For everyday work, the Portal manages the routing. For sensitive work, Core provides a private execution path: your data, your models, your environment.
Local LLMs · Private RAG · Agentic workflows · Full audit trail
Cloud AI is the wrong tool for your most sensitive data.
Public AI models are useful, but they are the wrong place for client contracts, proprietary code, HR files, and raw financial data. You need a boundary.
Where public AI breaks down
The issue isn't the intelligence of public models; it's the lack of ownership. Your most valuable IP shouldn't be spread across third-party cloud tools.
- Data exposure: Client documents carry strict NDA and confidentiality obligations.
- Loss of control: Internal knowledge leaves your network and your oversight.
- Compliance blind spots: HR and legal tasks leave no secure audit trail.
- No guarantees: Cloud models update unpredictably, altering workflow outputs.
The private AI answer
Kubrius Core gives your business a local execution path. Your data. Your models. Your environment.
- Ownership: Run sensitive workflows on your own isolated infrastructure.
- Local RAG: Search your company knowledge privately, with citations.
- Zero-friction routing: Staff use the same portal; Kubrius handles the local routing.
- Complete evidence: A full record of how sensitive data was handled.
Kubrius Core: private by design.
Core isn't a cloud wrapper. It brings capable, agentic AI workflows directly to your local environment.
Local LLM Execution
Run capable open-weights models locally. Cut API costs and data exposure for your most critical tasks.
Agentic Workflows
Deploy AI agents that read, analyse, and process multi-step tasks across your private document stores.
Private Company Q&A
Query your approved internal documents with low latency, strict metadata filtering, and precise, citation-backed answers.
Proven Open Stack
Built on established open-source infrastructure: Kubernetes, open-weights models, private object storage. Deployed on your hardware and fully inspectable.
Role-Based Access
Lock down specific private workflows to authorised teams (e.g., HR, Legal, Executive) with strict permission guardrails.
Complete Auditing
Silent, automated logging of every local request, routing decision, and source document accessed.
Use the cloud for speed. Use Core for control.
A mature AI strategy doesn't run everything locally, nor does it run everything in the cloud. It routes the task to the correct environment.
Where Core pays for itself.
Private infrastructure justifies itself immediately when applied to specific, high-risk business functions.
M&A and Legal Review
Process, summarise, and cross-reference hundreds of confidential legal documents without a single page leaving your environment.
Proprietary Code Analysis
Let engineering teams use AI for debugging and refactoring without sending core IP to third-party model providers.
Executive & Board Strategy
Analyse internal financial projections, market strategies, and board materials in a closed-loop environment.
Frequently asked questions.
What is Kubrius Core?
Kubrius Core is private AI infrastructure that runs local LLMs, private RAG and agentic workflows entirely inside your own environment, giving your business a local execution path for data that shouldn't touch a public API.
Does any data leave our environment when we use Kubrius Core?
No. Core processes requests using local models running on your own infrastructure. Confidential documents, client files and proprietary code stay inside your network rather than being sent to a third-party cloud provider.
How does Kubrius Core work alongside the Kubrius Portal?
The Portal is the everyday approved workspace staff use for general tasks. When a request involves sensitive or confidential data, Kubrius automatically routes it to Core instead, using the same interface.
What hardware do we need to run Kubrius Core?
Core is built on established open-source infrastructure, including Kubernetes and open-weights models, and is deployed on your own hardware. Requirements depend on the workflows you want to run locally and are scoped during a Core fit call.
Is Kubrius Core only useful for very large enterprises?
No. It's built for SMEs handling sensitive material, such as client contracts, proprietary code or board-level financial data, who need a private execution path without adopting full enterprise-scale infrastructure.
Take ownership of your AI infrastructure.
If your business handles sensitive documents, internal knowledge, or confidential client workflows, public AI shouldn't be the only option. Let's talk about a private execution path.
Discuss private AI deployment.
Tell us about your most sensitive data workflows. We will reply personally to determine if Kubrius Core is the right fit for your environment.