Great for companies looking for a basic prototype and design without investing too much resources into development.
Centrally manage planned and unplanned work, from initial request through completion and including the recording of actuals.
Move from corrective maintenance, when repairs are made after a problem occurs, to preventive maintenance — scheduled repairs — to predictive maintenance — repairs made because data indicates imminent failure.
Graphically view work orders and preventive maintenance schedules on a Gantt chart. Intuitively navigate work order management to help dispatchers manage task and work dependencies.
Assets and the materials used to maintain them are part of the supply chain. Effective solutions should incorporate IoT technologies that help integrate EAM with supply chain management systems.
Document and report environmental, health and safety concerns. Reduce risk using incident analysis, corrective action tracability, and process change management.
Accomplish more from reading meters to capturing electronic signatures to using bar codes and RFID. Take advantage of smartphone capabilities such as photos and voice-to-text to capture information and deliver tools, documentation and collaboration.
Run extended and enhanced analytics, often powered by AI, to gain operational insights. Optimization models can be used to automate the planning, scheduling and work management processes based on analysis.
Support SaaS, cloud-based deployment or hybrid cloud deployment to control costs, improve system flexibility and decrease dependency on IT.
We provide our unmatched services to a number of industries. Some of them have been mentioned below.
From strategy and planning to deployment and scaling we are expert in SaaS based product application development and consulting.
A CMMS, as part of EAM, tells maintenance managers where an asset is, what it needs, who should work on it and when. It automates critical asset management workflows and makes them accessible and auditable.
Asset management software supports preventive capabilities to maintain equipment for stable, continuous operations. It helps ensure warranty compliance and preempt issues that disrupt production.
AI-powered remote monitoring delivers actionable insight into current and expected states of assets. It aggregates data across departments and information silos, allowing for fewer, more accurate alerts and enhanced decision-making.
Historical and real-time data collected from IoT devices and analytical and diagnostic tools help extend the availability, reliability and usable life of physical assets.
Equipment lifecycles are extended through more informed maintenance strategies and by embedding risk management into business processes to improve return on investment.
IoT, AI and analytics enhance equipment maintenance practices. Asset tracking and traceability meet increasingly complex environmental, health and safety requirements.
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Hi, They appeared in my business as an ultimate solution. We were in a total loss as our previous designers have not completed my projects and stuck with it at a crucial stage. They came with brilliant ideas in a tight deadline, did all the needful and made everything working at more than satisfactory level.