What we do?
We analyze the data and choose the best matching algorithm to create a model. We will usually make many inquiries into the domain subject.
At this stage, it’s difficult to say what the business value will be.
After creating a proof of concept that delivers and proves the business value, we tune and improve the model to the maximal level possible in the given time.
As a result of Machine Learning, we integrate with the domain system via API to make it available for the end-users.
What is
ProCogitia?
ProCogitia focuses on data, maths, and logic with a bit of Python programming. So in ALM, we extracted the operations as the separated brand. We focus on the three major areas:
Predictive analytics with recommendation systems, customer segmentation, and churn prediction
Computer Vision with face recognition, objects detection, and traffic tracking
Natural Language Processing with chatbots, speech and text translation, sentiment analysis, and content moderation and anomaly detection.
What we do?
We analyze the data and choose the best matching algorithm to create a model. We will usually make many inquiries into the domain subject.
At this stage, it’s difficult to say what the business value will be.
After creating a proof of concept that delivers and proves the business value, we tune and improve the model to the maximal level possible in the given time.
As a result of Machine Learning, we integrate with the domain system via API to make it available for the end-users.
What is
ProCogitia?
ProCogitia focuses on data, maths, and logic with a bit of Python programming. So in ALM, we extracted the operations as the separated brand. We focus on the three major areas:
Predictive analytics with recommendation systems, customer segmentation, and churn prediction
Computer Vision with face recognition, objects detection, and traffic tracking
Natural Language Processing with chatbots, speech and text translation, sentiment analysis, and content moderation and anomaly detection.
What we do?
We analyze the data and choose the best matching algorithm to create a model. We will usually make many inquiries into the domain subject.
At this stage, it’s difficult to say what the business value will be.
After creating a proof of concept that delivers and proves the business value, we tune and improve the model to the maximal level possible in the given time.
As a result of Machine Learning, we integrate with the domain system via API to make it available for the end-users.
What is
ProCogitia?
ProCogitia focuses on data, maths, and logic with a bit of Python programming. So in ALM, we extracted the operations as the separated brand. We focus on the three major areas:
Predictive analytics with recommendation systems, customer segmentation, and churn prediction
Computer Vision with face recognition, objects detection, and traffic tracking
Natural Language Processing with chatbots, speech and text translation, sentiment analysis, and content moderation and anomaly detection.