Predictive Maintenance Solutions


Save enormous time and cost that is incurred during machine breakdowns.


Stay Ahead of Maintenance Requirements with AI

It is generally said that any manufacturing concern or factory can lose up to 20% of its operational capacity due to unexpected downtime due to breakdowns. The traditional method for keeping the maintenance up is to check and repair parts at different intervals in time. However, these methods still result in machine breakdowns which cause downtime, a decline in productivity, and loss of revenue. On the other hand, preventive maintenance measures powered by AI can enable you to predict and stay ahead of these issues thereby maximizing productivity and avoid incurring losses.


End-to-end machine learning solution for your sensor data in real-time

We build and train unique ML models to analyze incoming sensor data in real-time and accurately identify early warning signs that could lead to machine failures.

Services and hardware to analyze your sensor data at the edge

We provide sensors with pre-built ML models to monitor and detect potential failures for your equipment in real-time


How Predictive Maintenance Works?

Predictive maintenance leverages AI to crunch great amounts of data from manufacturing systems and IoT sensors set up and deployed in the equipment. The system takes advantage of the operational, equipment, and environmental data to determine what parts should be replaced before they cause a failure. AI models dig deep into the data to determine patterns that may predict possible breakdowns and forecast the general lifespan of components accurately.

The AI-model observes factors that predict failure and notifies that a component is due to be replaced. Ultimately, AI-powered predictive maintenance provides a significant reduction in maintenance costs, downtime, and inspection overheads.

Benefits

Predictive maintenance enables manufacturers to know the state of the equipment components, how long they would last and keeping them on top of their maintenance schedule. This helps to increase the lifetime of the machines. In 2017 a survey was conducted by Plant Engineering which reported that 51% of manufacturing companies now utilize a computerized maintenance management system (CMMS).

Maximize Productivity

Respond to issues faster and with precision


Keep Costumers Satisfied

Keep your operations running smoothly and ensure that customers get their orders on time.


Accelerate Issue Resolution

Enabling automatic actions to be taken when anomalies are detected, such as filing a trouble ticket or sending an automatic alarm that notifies you immediately of any issues.