The osapiens AI Engine

Breathe intelligence into your data: calculate predictions and forecasts based on artificial intelligence using the osapiens AI engine. 

What is AI?

Artificial Intelligence (AI), also known as artificial intelligence (AI), is concerned with the development of systems capable of performing tasks that normally require human intelligence. These include problem solving, learning, language processing, visual perception and decision making.

Highlights of our AI Engine

Nowadays, data is often analyzed externally on different technical platforms. This can lead to some challenges, especially if there is no deep integration into an enterprise solution, the data obtained is difficult to verify, and the processing of the data is carried out by the technical team without in-depth business understanding. Our AI engine solves these problems with two different types of deep learning.

Anomaly Detection (unsupervised)

Example: Compliance Augmentation

Goal: Identify illegal trade routes

AI output: Retail stores with high anomaly scores

Classification (unsupervised)

Example: Delivery Team Augmentation

Goal: Deploy private individuals as delivery drivers

AI output: Next-day route suggestions

Classification
(supervised)

Example: Inspection Augmentation

Goal: Identify the right follow-up actions after an inspection

AI output: Classify the outputs of the seizure by action

Regression
(supervised)

Example: Stock Augmentation

Goal: Avoiding out-of-stock situations without endangering working capital

AI-Neuron output: Sales forecast by SKU and country for production planning

Key elements of our AI Engine

Easy definition of AI networks

Our AI engine makes it easy to enter data and define and parameterize AI networks. Data scientists can also use Python for scripting and import their existing AI networks.  