Artificial Intelligence solutions
Streamline time-consuming tasks with our artificial intelligence solutions.
How it works
The lifecycle of artificial intelligence projects involves collecting data, preparing it for processing, training and evaluating the model, deploying it, and monitoring the deployed instance.
Collect & prepare data
Training & evaluation
Deploy model
Monitor solution
Our AI models
We hand craft AI models to suit the most demanding needs. Whether you need high accuracy, low latency, or explainable models we have the expertise to deliver them.
Accurate
Scalable
Explaniable
Custom AI models to analyze images, text, or time series
Our AI soultions can be applied to an extensive set of problems.
Computer vision
Computer vision can help you automate visual tasks usually performed by humans.
Automated inspection
Use cameras to image manufactured and identify different types of defects using machine learning algorithms. These algorithms can be trained to identify a wide range of issues, such as scratches, dents, misaligned parts, or incorrect colors.
Medical imaging
Medical image analysis can be automated using machine learning algorithms. AI can interpret medical images, such as X-rays, CT scans, and MRIs, resulting in improved diagnosis accuracy, reduced workload for healthcare professionals, and streamlined early detection.
Facial recognition
AI can be trained to identify specific faces in images. As the technology has become more accurate and widely available, it has become a popular choice for a wide range of applications such as security, personal identification, or marketing.
Natural language processing
NLP enables efficient analysis and automated manipulation of human generated text.
Text classification
Text classification involves automatically assigning a block of text to an appropriate category. It is one of the most studied areas of NLP, with many examples such as user sentiment analysis, news categorization, or spam detection.
Question answering
NLP AI can answer questions based on domain-specific context. These systems work by extracting information from a pre-defined knowledge base, and generating answers based on the processed text. One popular example is frequently-asked-questions chatbots, they can provide automated answers based on a text chunk describing the targeted domain.
Named entity recognition
AI can be trained to identify specific faces in images. As the technology has become more accurate and widely available, it has become a popular choice for a wide range of applications such as security, personal identification, or marketing.
Time series
AI can analyze temporal data such as sound, accelerometer data, or trends.
Predictive maintenance
Analysis of popular sensors for predictive maintenance can be automated using machine learning models. AI can analyze time series such as vibration data, temperature data, and pressure data, and generate alerts indicating when a component is likely to fail.
Activity recognition
Medical image analysis can be automated using machine learning algorithms. AI can interpret medical images, such as X-rays, CT scans, and MRIs, resulting in improved diagnosis accuracy, reduced workload for healthcare professionals, and streamlined early detection.
Forecasting
Machine learning can generate predictions based on historical time series data. This type of analysis can be applied to many tasks such as sales forecasting, financial forecasting, weather forecasting, demand forecasting, or resource planning.
We are your AI company
Contact us and we will develop a customized solution with AI, web applications, or IoT.
Book a free consultation