ROBOCLOUD / PRODUCT & PROJECT QUESTIONS
Product, industrial AI and automation answers, with scope, preparation and official RoboCloud links.
Discuss your use case with our engineering teamROBOCLOUD / CAPY
Each product serves a different workflow. Start with your use case, then review its scope and product screens before talking with RoboCloud.
Pricing, implementation plans and connections are agreed after reviewing the use case and available data.
Consider CapyM by RoboCloud when projects, customer records, quotations, documents and follow-ups are spread across different teams and programs. RoboCloud maps the customer's workflow and customizes CapyM around it, with AI summaries and LINE OA support within the agreed scope. Migration and connections are defined for each customer; people remain responsible for approval and action.
Consider CapyX by RoboCloud when production leaders, factory engineers or maintenance teams need a shared view of machine status, production, OEE, downtime and quality. It brings machine signals and production records into an operational view with AI-assisted event summaries. Available signals, gateway compatibility and implementation scope are assessed first; engineers review the evidence and decide the response.
Consider CapyF by RoboCloud when growers or farm operators need to review soil moisture, temperature, humidity and conditions by zone alongside farm records. Its advisor and watering plans help operators decide what to inspect and do next. Sensors, controllers, connectivity and pump commands must be confirmed for the installation; AI advice does not guarantee crop or irrigation results.
Consider CapyN by RoboCloud for ward leaders organizing nurse shifts and nurses managing their schedules through LINE. It supports automatic scheduling with equal shift distribution; ward leaders use the web system, while nurses view rosters, request time off and exchange or sell shifts through the CapyN LINE official account. Review the current product walkthrough for the ward's scheduling requirements.
Consider CapyG by RoboCloud when sustainability teams and data owners need to collect factory activity records, link supporting evidence and review data gaps. Its demonstrated scope includes activity records, evidence status, emission-factor context and traceability. Reporting formats and any AI-assisted review are confirmed in a walkthrough; it does not certify emissions or promise an automatically compliant report.
RoboCloud is a Thailand-based industrial AI, automation and robotics engineering company. It develops Capy products and integrates controls, machines, inspection cameras and operational data, from engineering study and design through commissioning and support.
CapyX focuses on production, machines, quality and maintenance data, including Factory 3D views. CapyM focuses on work, projects, customers, documents and team operations. Choose around the problem to solve and the data available, and agree the implementation scope before starting.
Start with a defined problem, an accountable team and accessible data, such as engineering knowledge retrieval, production-event summaries or quality inspection. Agree the intended outcome and acceptance criteria before a practical trial. Technology and scope depend on existing systems and team readiness.
Machine vision uses images to inspect parts and processes, such as defects, shape or completeness. Design depends on the part, lighting, camera view, line speed and acceptance criteria. AI-based inspection also needs representative examples and validation against the actual operating conditions.
First review PLC, HMI and SCADA systems, available data sources, access permissions and data formats. Then agree interfaces, data scope and testing conditions. Compatibility with a specific system must be confirmed after technical review.
AI can help retrieve information, summarize events and highlight items for review. Data may be incomplete and outputs may be incorrect. The responsible team should check evidence and approve decisions, particularly for safety, machine control and quality release.
Prepare the problem to solve, the current process, sample data or parts, existing systems and the responsible team. Contact RoboCloud at pitoon.w@robocloud.co.th or +66 95 764 5635. The company is based in Samut Sakhon, Thailand. Scope, pricing and delivery dates are assessed for each project.
Company and product information as of 9 October 2026. Project details are confirmed after discovery.
