How does Predictive Maintenance Work?
Gain a broad insight into how Predictive Maintenance works in industry
Read moreAbout Predixus - Why Predixus?
We created Predixus to live out our passion for solving data related problems. Whether it's by developing Data Transformation Pipelines, Machine Learning models, or Frequency Domain models, we spend days and nights chipping at problems, just for the rush of solving the puzzle.
We do this because we love Data Science and how it can have a positive impact for our customers.
That's why Predixus exists - to solve the difficult problems, and have fun in the process.
- Businesses Helped
- 3
- Algorithms in Production
- 78
- Data Points Processed
- 878,379,872
Our culture - We prioritise innovation and provide space for initiative
We are a group of like-minded engineers who are driven by solving problems. We love what we do, and we want to keep doing it. And so we orient our actions from company values - all to support growth in a sustainable way.
- Innovation. We believe that modern data transformation is driven by innovation. Our customers require innovative approaches to meet their data management need. That's why it's at the core of everything we do.
- Trust. Without trust in our experts we cannot innovate. Without building trust with our customers, we cannot understand their business need in detail. Only through trust can we move the dial of innovation forward in a sustainable way.
- Integrity. We stick to our morals. We will not bend or give on our ethical grounding to meet fleeting objectives, or for financial gain. We believe in honesty and candour and will hold ourselves to account.
- Customer Focused. By centring our objectives to our customer's we foster an environment of active listening and empathy. That is why, the customer forms a core pillar of our values.
The Team
Guillaume Saint-Cirgue
Data Science Lead
Frederick Mannings
Data Engineering Lead
The Blog
Whilst we're solving problems for our customers we write about the technologies that we've developed in the process. Check out our blog for insight into Predictive Analytics, Data Insight Management and Industry 4.0 technologies.
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