Analytics, Artificial Intelligence and Big Data

Artificial intelligence is rapidly changing the world, are you ready to harness its full potential?

Artificial intelligence (AI) is a trending technology with several benefits. Wapice’s solutions offer versatile ways of utilizing artificial intelligence for example in preventive maintenance, autonomous vehicles or even in health & safety applications.

We would like to help you make the most of future AI-technology today! There are numerous applications and ways to utilize artificial intelligence. We help you find solutions that match your needs and implement them in cooperation with you.

Benefits of AI

Our solutions enable cost-effective ways to process and analyze large amounts of data. Refined data can be utilized to benefit your business, product development or customer service.

Prediction

AI can be used to predict events and make preventive measurements.

Faster reaction time

Changes in data can be detected fast and causation can be detected automatically.

Automation

Automate and scale operations by utilizing AI.

Cost effectiveness

With AI you can achieve significant time savings and process optimization.

New business potential

 Create added value and productize new services using analytics and AI.

Comprehensive services for AI and analytics in edge and cloud

We help our customers in utilizing future AI-solutions and create services to reduce time and money. With numerous available solutions on using AI, we help you find best solutions for your needs in cooperation with you. Our AI technologies can be implemented in edge, cloud or in local servers.

Computer vision

Advanced computer vision algorithms are able to detect features from pictures and video based on the rules it has been taught. This allows detection, classification and tracking.

Anomaly detection

Neural networks detect anomalous events from large amounts of data. Anomaly detection is based on the available historical data. Data is typically timeseries data, multifeatured data, text and audio.

Prediction

Predictive maintenance is a typical example in prediction capable algorithms. Historical data is used for creating a model for predicting wear and it can be based on several different features and data sources such as acceleration sensors or sound data.