Overview
ClusterVise helps industrial automation teams move faster from machine requirements to design-ready outputs by handling selection logic, project structuring, and supporting documentation with less manual work. The platform targets special purpose machine design including custom robotic systems and high-complexity process machinery, generating stationwise BOM and I/O lists automatically.
Key people
In the news
- 𝐎𝐍𝐄 𝐂𝐎𝐌𝐏𝐎𝐍𝐄𝐍𝐓. 𝐌𝐔𝐋𝐓𝐈𝐏𝐋𝐄 𝐃𝐄𝐏𝐄𝐍𝐃𝐄𝐍𝐂𝐈𝐄𝐒 A change in one component can affect: Pneumatic sizing Valve selection Sensor compatibility PLC I/O requirements Power supply capacity Machine design is never about selecting components in isolation. Everything needs to work together. ClusterVise helps engineers make smarter, connected design decisions. Build machines, not spreadsheets. #ClusterVise #MachineDesign #IndustrialAutomation #EngineeringDesign #AutomationEngineering
- 𝗦𝘁𝗿𝗼𝗻𝗴𝗲𝗿 𝗜𝗻𝗱𝗶𝗮–𝗕𝗲𝗹𝗴𝗶𝘂𝗺 𝘁𝗶𝗲𝘀 𝗰𝗿𝗲𝗮𝘁𝗲 𝗻𝗲𝘄 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗳𝗼𝗿 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻. We were pleased to participate in these deliberations on strengthening business and economic collaboration between India and Belgium. As a company building AI solutions for industrial machine design, ClusterVise sees significant opportunities for cross-border collaboration in engineering, industrial technology, and innovation. We look forward to contributing to this growing ecosystem and building
- Ambassador Pranay Verma met H.E. Mr. Boris Dilliès, Minister-President of the Brussels-Capital Region for a bilateral exchange, followed by interactions with Brussels-based companies that have invested in India and Indian companies based in the Brussels-Capital Region. The engagements provided an opportunity to discuss areas of mutual interest and explore avenues for further strengthening India-Brussels economic and business ties. Ambassador underlined the importance of innovation and talent mobility as a driving force for the future
- The machine is ready. The BOM is not. 😅 The design is done. The components are selected. The machine is almost ready. Then someone asks… "Can you update the Excel sheet?" And suddenly, the real project begins. Engineers weren't trained to become full time spreadsheet managers. At ClusterVise, we're building a smarter way to automate repetitive machine design tasks, so engineers can focus on engineering, not endless documentation. Let machines do the work. Let engineers do the thinking. Build machines, not spreadsheets.
- 𝗧𝗵𝗲 𝗽𝗮𝗿𝘁 𝘄𝗮𝘀 𝗰𝗼𝗿𝗿𝗲𝗰𝘁. 𝗧𝗵𝗲 𝗱𝗲𝘀𝗶𝗴𝗻 𝘄𝗮𝘀 𝗻𝗼𝘁. That sounds contradictory. But this happens more often than we think in machine design. A component can meet every specification on its datasheet and still be the wrong choice for the machine. Why? Because machines are not built from isolated components. A motor affects the drive. The drive affects the protection. The protection affects the power system. The sensor affects the PLC. And one change can create a chain of changes across the design. The real
- AI is changing the way we work. But the bigger question is: how does it change the role of the human? We had the opportunity to be part of a panel discussion at KU Leuven - Group T Leuven Campus on: “How are professions changing in the age of AI?” The discussion went beyond the usual question of whether AI will replace jobs. We explored: • Which work is already being automated • How AI is changing analysis and decision making • Where human judgement remains essential • Which skills will matter in an AI driven workplace • How future
- 𝗔𝗜 𝗶𝘀 𝗺𝗼𝘃𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗮𝗻𝘀𝘄𝗲𝗿𝗶𝗻𝗴 𝘁𝗼 𝗮𝗰𝘁𝗶𝗻𝗴. Industrial AI is moving beyond dashboards and recommendations. AI agents are increasingly being designed to reason, plan and execute tasks across manufacturing workflows. But there is a fundamental challenge: AI cannot execute good engineering decisions if the decisions going into the workflow are disconnected. A machine design involves hundreds of connected choices: Components. Compatibility. Availability. Specifications. BOM. Documentation. Change one. The
- 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗔𝗜 𝗵𝗮𝘀 𝗮𝗿𝗿𝗶𝘃𝗲𝗱 𝗮𝘁 𝗜𝗠𝗧𝗦. This week, IMTS 2026 is putting Industrial AI at the centre of manufacturing. AI is moving into machine design, programming, deployment and the shop floor. But there is one part of the workflow we keep coming back to: 𝗧𝗵𝗲 𝗱𝗲𝘀𝗶𝗴𝗻 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻. Which components? Do they work together? Are they available? What happens when one component changes? That is where ClusterVise is building. AI for the engineering decisions before integration.
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