Data Modelling

We are experts in the design of model architectures and parameters for customized models. Our data scientists can combine, customize and build models to serve a wide variety of use cases.

    What we do   ⇩

Pattern Recognition

Recognize patterns and regularities in your data in an automated way. This technique can be used to identify recurring data sequences over time, recognize and analyze objects in an image or even to process natural language.

Data Clustering

Divide your data into a number of groups based on certain properties such that data points in the same groups are similar. In simple words, we segregate your data based on similar traits and assign them into clusters.

Predictive Analytics

Analyze your current and historical data and predict behaviour, anomalies and other events so you are prepared for the future.

Some of the tech we use

Use Cases

Discover our top use cases in a wide
variety of industries.

Minze Health

Bringing faster, more secure and energy efficient data processing solutions with a distributed edge-computing solution.

Anomaly detection | Uriflow Data

Data4Growth

Data4Growth's goal is solving care needs by creating innovative Living Labs in elderly care homes, bridging tech companies and care homes.

Facial images | PPG

bAIcycle Information

DAIS

Bringing faster, more secure and energy efficient data processing solutions with a distributed edge-computing solution.

InfluxDB | Python

Wolk Airbag

Wolk is a smart and invisible belt that elderly can wear underneath their clothing. The belt uses a sensor that detects falls before they happen.

Accelerometer | IT partner

SoundTalks

SoundTalks is a sound analytics company for pig farms that uses Artificial Intelligence to detect respiratory diseases.

Data pipeline | Livestock sound

Llinq

Llinq is a company that develops Online Monitoring Solutions for marine and industrial environments by monitoring multiple sensors

Maritime monitoring | Vessel data

FoG

The FoG project aims to improve the quality of life of Parkinson’s patients by reducing motor freezing symptom frequency.

EEG | Pattern recognition

eHealth

The eHealth project is a subsidiary project which aims to support clinicians in making evidence-based diagnoses of patients with neuropsychiatric symptoms in later life.

Classification | MRI

Smart city

Detects, logs and signals silent, difficult to notice epileptic absence seizures.

    Endless possibilities

More Solutions

Working for our costumers we help to extract
useful knowledge from the data they accumulated.

Data Processing

We collect and manipulate data to produce meaningful information.

Data Accessibility

We communicate data or information by encoding it as visual objects.