The fearless analytics company

About the company

Founded in early 2020 Spryfox is a company that puts the customer satisfaction as their top priority. Helping the customer understand and utilize its data is the key to great products.

Background about the company

What do we do?

 

How do we do it?

Without Spryfox

You will be sitting on a bunch of data with no idea what to do with it.

With Spryfox 🙂

You will be sitting on a hill full of valueable data.
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Our services

End-to-end solution development

Classification is all about learning models for specific situations/behavior that are recurring in your application. Instead of using rules to detect them we train a machine that learns the specific constellations under which these situations/behaviors occur in reality. Typical examples are images, sound events, machine states or human actions. Our classifiers are designed to explain the reasoning to a non-technical user and improve over time.

Analytics module development

Clustering is a more exploratory technique that allows identifying common structures in data to then exploit them in further applications. For example, it allows to tremendously reduce the need for labeled data in classification.

Proof of concept

Often we are facing the situation in which a lot of data from various sources is available, but we are unclear about what value it can bring or which use cases it could realize. In these situations, data mining as an explorative technique is perfect to detect hidden patterns and relations between those data sources. These patterns are then used as data-driven use case generators whose validity can be checked against relevant business parameters.

Founders

Johannes Wowra

CEO

Christian Debes

Agile Evangelist

Expertise

Spryfox founders have a background in IOT and machine learning……

Management

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DevelopMENT

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aNALYTICS

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Classification

Classification is all about learning models for specific situations/behavior that are recurring in your application. Instead of using rules to detect them we train a machine that learns the specific constellations under which these situations/behaviors occur in reality. Typical examples are images, sound events, machine states or human actions. Our classifiers are designed to explain the reasoning to a non-technical user and improve over time.

Clustering

Clustering is a more exploratory technique that allows identifying common structures in data to then exploit them in further applications. For example, it allows to tremendously reduce the need for labeled data in classification.

Data Mining

Often we are facing the situation in which a lot of data from various sources is available, but we are unclear about what value it can bring or which use cases it could realize. In these situations, data mining as an explorative technique is perfect to detect hidden patterns and relations between those data sources. These patterns are then used as data-driven use case generators whose validity can be checked against relevant business parameters.

Anomaly Detection

Anomaly detection models the normal behavior/situation and uses deviations from that normal model to reliably detects anomalies. Our anomaly detection engine is designed to put explainability (why did this anomaly pop up?), confidence (how sure are we that this is an anomaly?) and continuous improvement (using user feedback on relevance and severity of said anomaly to train better and better models over time) in the focus.

Predictive Analytics

In many practical situations we are interested in learning models of the past and present to predict likely outcomes for the future. Our predictive engines allow joint handling of continuous and event data and takes different temporal dimensions into account. This allows building several models, e.g. for the near or mid-term future. Typical applications are failure prediction of machinery and customer conversion.

Deep Learning

Some of the biggest breakthroughs in artificial intelligence in the recent years were achieved via deep learning. Learning deep neural networks allowed for super-human performance in several areas including image and speech recognition. We use deep learning methods in many different fields while being well aware of its limitations in some practical fields where labeled data is scarce and explainability is more important than performance.

Contact us

Want to understand and discover the potential of your data? Contact us and we will help you discover the diamonds in your data heap.

Contact us

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