Data, AI and day-to-day execution joined into one, from judgement through approval to execution and verification.
Cubeon handles it all in one place — connecting data, running AI models and agents, taking approval from the person responsible, and checking what the action produced.
Knowledge and AI services run on one common data foundation, and act safely within your own approval process.
Structured, unstructured and industrial data across the company is connected and prepared in a form AI can use.
Meaning, relationships and context are joined into a body of knowledge that belongs to your company.
Grounded in your knowledge and data, it understands the question and carries through to analysis, reasoning and the work itself.
From cloud LLMs to on-premises LLMs and small language models — connected and operated to suit the work and the security environment.
What the AI finds is carried through to lookups, documents, alerts, approvals and the work itself.
Data permissions, agent permissions, logs, and model and knowledge versions — all managed together.
What every industry needs is split into modules, so you can start with the ones that matter and add domain features step by step.
Connects sources that have little in common — controllers (PLC), sensors, manufacturing execution (MES) and enterprise resource planning (ERP).
Streaming and scheduled data alike, stored, cleansed and delivered without drama.
A shared data format and an ontology of terms and relationships bring names and meanings into line.
Training, validation and deployment history are kept, accuracy is watched in service, and the model is retrained when it needs to be.
Agents that answer questions, read documents and get work done.
Several agents, each with its role and turn, brought together to finish one piece of work.
Detection, judgement and execution, managed on one screen.
Choose what answers the questions — a commercial large language model, or a small one running in-house.
The foundation for data, AI and execution is reused as it is; you pick the domain pack and copilot that match the problem you have.
Eight modules from Connect to Console combine into one standard for connecting data, running AI, and approving and executing work.
Anomaly detection, predictive maintenance, quality forecasting and process and energy optimisation, applied to the problem at hand.
Video, sensors and operational events read together to spot danger, with the evidence and what to deal with first.
Answers grounded in your own documents and data, with the analysis explained and the follow-up work supported.
Nothing is automated all at once. It begins with detection and alerts, moves to human approval, and only then to limited automatic execution.
At the edge next to the equipment, inside your own building, or a mix of edge, on-premises and cloud — the choice is yours.
Collected and analysed beside the equipment, keeping latency and outbound traffic to a minimum
Built on your own servers, keeping sensitive data and models inside the security boundary
Edge, on-premises and cloud each take a role, giving security and room to grow at once
For organisations that want scattered data and AI services brought under one operating standard — and carried through to action.
Every team runs data and models its own way, and a shared standard is overdue
The analysis exists, but approval, follow-up and checking the outcome are not joined up
Safety, quality, cost — work where someone must see the reasoning and sign it off
Edge, on-premises or an isolated network — the rules decide where processing may happen
