Not another chatbot. The control plane for private enterprise AI.
ClusterAI turns scattered internal models, RAG systems, agents, tools and compute nodes into a governed private AI capability network. Users ask one chat. ClusterAI routes each request to the right AI capability with context, permissions, fallback and visibility.
Private by design. Deployable on your own infrastructure. Designed to work with local and open-weight models.
user → orchestrator → selected capability
Best domain match for contract-class queries. User authorized for confidential zone. Node online with capacity.
Same chat. Different internal AI capabilities. Automatically routed.
Enterprise AI is becoming fragmented.
Most organizations do not deploy AI as one clean system. Teams create separate assistants, RAG pipelines, local models, GPU servers, agents, SaaS copilots and internal tools. Each one has different access rules, data boundaries, logs, performance and ownership. The result is AI sprawl.
Too many AI tools
Every department can create its own assistant, model or RAG workflow. Without a common control layer, adoption becomes fragmented.
Sensitive data risk
Contracts, HR policies, financial records, customer data and IP cannot be sent everywhere. Routing must respect data zones and permissions.
No capability-aware routing
A classic chatbot or load balancer does not know whether a request should go to Legal AI, HR RAG, Code AI or a high-performance GPU node.
No operational visibility
IT needs to know which nodes are online, why a capability was selected, when fallback happened and how the AI service behaves.
Cost & infrastructure uncertainty
Public API usage can grow unpredictably. Existing internal compute and local models are often underused.
Traditional chatbots answer prompts. ClusterAI orchestrates enterprise AI capabilities.
One chat. Many internal AI capabilities. Automatically routed.
ClusterAI lets users ask questions normally. They do not need to know which model, server, RAG system, tool or agent should answer. ClusterAI detects the intent, checks the user role and data zone, evaluates node health and capability fit, then routes the conversation to the right internal AI capability.
The user does not choose the model. ClusterAI chooses the right capability. ClusterAI routes to capabilities, not just servers.
User request
User asks a question normally — without choosing the model, server or capability.
Intent detection
Understand whether the request is legal, contractual, HR, code, commercial, product, general or another internal domain.
Policy & data-zone check
Verify whether the user and target capability are allowed to handle the relevant data.
Capability selection
Choose the best available AI capability, not just the next free server.
Governed context handoff
Send compressed, filtered conversation context to the selected daemon.
Response & audit
Let the selected capability answer, and record which AI answered, why and how.
ClusterAI routes conversations, not isolated prompts.
Turn scattered AI resources into a governed capability network.
ClusterAI organizes internal AI resources as declared capabilities. Each capability can expose what it does, which data zones it can access, which roles can use it, how healthy it is and when it should receive a request.
Employment law, compliance, privacy, regulatory questions, legal risk and governance-sensitive requests.
"Can I terminate an employee without notice?"
Contract obligations, termination clauses, liability caps, payment terms, renewal dates, SLA penalties and supplier risk.
"Extract the key obligations and liability risks from this service agreement."
Internal HR policies, remote work, paid leave, onboarding, employee handbook and procedural questions grounded in internal documents.
"What is our internal policy for remote work and paid leave?"
Debugging, code review, scripts, API errors, architecture questions, stack traces and developer support.
"Can you debug this Python function and explain what is wrong?"
Sales proposals, pricing rationale, ROI arguments, objection handling, prospect follow-up and pilot offers.
"Prepare a 30-day pilot offer for a prospect worried about data privacy and AI costs."
Roadmap, user feedback, product requirements, user stories, acceptance criteria and feature prioritization.
"Turn this customer feedback into prioritized product requirements for the roadmap."
Summaries, rewriting, explanations, generic business support and low-risk knowledge work.
"Rewrite this paragraph in a clearer and more professional tone."
Fallback and heavier workloads when specialized nodes are unavailable, saturated or require more compute.
"Run this longer analysis with the high-performance capability."
A look inside the routing decision.
Pick a request below. ClusterAI selects an internal AI capability, explains why, and shows the governance metadata involved. This panel is a local mockup — it does not link to the private evaluation environment.
- · Recent turns: 1
- · Compressed history: 0 tokens
Best domain match for contract-class queries. User authorized for confidential zone. Node online with capacity.
Private live demo available by invitation. This public page shows the product flow without exposing the evaluation environment.
ClusterAI routes conversations, not isolated prompts.
In production, the selected daemon does not need to remember everything by itself. The client builds a governed conversation context and sends it to the selected capability. If the capability changes, the client transfers only a compressed, filtered and authorized summary.
Same capability — context carried
conversation- user
What is our remote work policy?
- clusteraiHR / RAG
Answered by HR / Internal Docs RAG.
- user
So what should I do?
- clusteraiHR / RAG
Still answered by HR / RAG, using previous context.
Manual capability switch
conversation- user
Turn this feedback into product requirements.
- clusteraiProduct AI
Answered by Product AI.
- user
Now ask Commercial AI to position this as a pilot offer.
- clusteraiCommercial AI
Switches to Commercial AI and transfers a governed summary.
Automatic intent change
conversation- user
Can you debug this Python function?
- clusteraiCode AI
Automatically switches to Code AI because the intent changed clearly.
Governed handoff to Legal AI
conversation- user
Ask Legal AI about the risks.
- clusteraiLegal AI
Manual capability switch with governed handoff.
The daemon is stateless by design. The client transports the governed conversation context to the selected daemon.
Private evaluation demo
A live evaluation environment exists, but it is not linked publicly. Access is shared directly with selected reviewers and design partners.
The public website intentionally does not expose the demo endpoint.
Ready to turn AI prototypes into an internal AI service?
Your AI is the engine. ClusterAI is the operating layer that makes it usable across the enterprise.