Less down time
Makes
profits climb!

  • Our AI Based Predictive Maintenance technology reduces your maintenance costs by 30% using sensors and computer vision.
  • Maintenance and repair rank higher than recycling in the sustainability hierarchy.
  •  Our easy to integrate approach increases efficiency by crushing breakdown time by 75%.

About WhatsInIt

WhatsInIt provides advanced automated predictive maintenance technology for application in virtually any sector including, industry, manufacturing, rail and off-highway, renewable energy and many more.

WhatsInIt’s innovative AI and computer vision allow for digital product passports to be created, this innovative concept is emerging as a valuable tool for a organisations of any type to track and manage the lifecycle of assets.

Our
Technology

We partner with you to develop customer focused solutions using WhatsInIt’s innovative technology. 

Our technology includes:

  • Computer Vision
  • Artificial Intelligence (AI)
  • Digital Product Passports

How it Works

Our technology works by collaborating with you to develop our 5 step journey.

1. Set up hardware & sensors

2. Collect data

3. Customise AI / computer vision models

4. Predict maintenance & breakdown

5. Decision making and current system integration

Benefits of WhatsInIt

Pilot studies indicate that WhatsInIt users can benefit from a healthy return on any investment in predictive maintenance with the overall goal of decision automation, including:
Reduction in maintenance costs
Reduction in breakdowns
Reduction in down-time

Our Applications

The applications of WhatsInIt are limitless, some common applications include:

Why WhatsInIt?

Cost-Saving

We put financial gains first and predictive maintenance saves your company on so many different fronts. There are the obvious labour costs savings for maintenance itself, as well as for data input. In addition, together we increase production efficiency, reduce expenses on parts, consume less energy and improve inventory management.

Innovative

Moving away from reactive to predictive maintenance using Artificial Intelligence and Computer vision combined with motion, temperature, humidity and sound sensors will move your company to the forefront of its industry and increase competitiveness.

Sustainable

Whilst always keeping an eye on the profit, we never lose sight of the impact. By anticipating repairing and maintenance your carbon footprint reduces through reduced energy consumption as well as improved parts management, which are just two examples of overall resource efficiency.

easy to Integrate

It is of paramount importance to integrate and interlink the predictive maintenance tool with all your existing data – duplication and overlap are to be avoided at all costs.

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Partner with WhatsInIt

Get in touch to see how our easy to integrate solutions can improve predictive maintenance in your organisation.