Save time and money on cleaning and preparation of your factory data. Use i-flow to make your analytics and AI projects a success.
Become a prime partner now!
Define data models to standardize data in your factory coming from your manufacturing, assembly and logistics.
Create digital assets by connecting to your factory sources (e.g., operation technology – OT) and mapping live-data to defined data models.
Contextualize, aggregate, normalize and streamline data between OT and IT via a simple to use drop & drop interface.
Predictive maintenance is one of the most popular industry 4.0 use-cases and yet it is expensive and time-consuming to scale from pilot to rollout. While predictive maintenance tools expect a specific dataset at a particular format, system landscape is very heterogeneous in today’s factories providing individual datasets.
Using i-flow, data of the heterogeneous system landscape can be standardized by creating digital assets based on defined data models. Once created, simply automate the data stream between your assets and the predictive maintenance tool.
Changing requirements such as data model changes or new sensors can be handled with ease.
Not long ago, I – Christoph Sauerborn – was an engineer myself and responsible for Industry 4.0 in a large manufacturing corporation. But I always had this one problem:
Making use of data from operations of our factories was time consuming and expensive. Instead of implementing sophisticated use-cases I had to take care to get access and clean the data.
The worst part:
Most of the time I couldn’t understand what the numbers mean in the dataset because every single engineer does it in a different way.
The reason: data was not standardized in our factory.
I share this tale of woe with my co-founders. That’s why we decided to leave the corporate world and make a change:
Making it simple and cheap to scale industry 4.0 and new technologies – access to these should not fail due to expensive integrators or overburdened IT departments.
With our tool engineers lay the ground to use data at scale without deep IT knowledge. Clean and simple to access data from anywhere.
Sincere, Christoph Sauerborn, Co-Founder of i-flow
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