Maze is an applied Reinforcement Learning (RL) platform developed by enliteAI. It enables AI-based optimization for a wide range of industrial decision processes and makes Reinforcement Learning technology accessible to industry and developers.
We focus on the complete development life cycle of RL applications ranging from simulation engineering to agent development, training, and deployment.
Detekt is a modern geospatial data platform supporting the entire mobile mapping and asset management life cycle. It works with spatial data from vehicles, drones or portable recording devices.
The application is manufacturer-independent and supports GIS data, point clouds as well as georeferenced images with a wide variety of localization features.
Depending on the data source and use case, each detected object can be classified, measured, and its exact position determined.
Current use cases are road damages, road markings and traffic sign detection.
We provide an array of skills, experience and expertise to deliver pioneering digital solutions that enable you to become an AI leader in your industry
Reinforcement Learning has by far the largest potential for simulations and in assisting sequential decision making. Applying Reinforcement Learning in real world scenarios is one of our core skills and and puts us on the technological forefront when facing extremely complicated problems.
GANs are the latest technology breakthrough in AI. We are experienced in applying GANs to create seemingly natural images, videos and speech with a defined set of parameters which helps you to meet GDPR pseudonymisation or anonymisation requirements.
Computer vision lets us bring understanding of contents within images and videos with applications such as face detection, pose estimation, object recognition or object tracking. We are specialized in multi view / multi sensor object recognition, classification and localisation.
Anomaly detection lets us identify anomalous data in any data-based event or observation that differs majorly from the rest. Practical applications are manifold and bring value to any image or video data or a continuous stream of unstructured data from various sources.
Geospatial data indicates where things are within a given coordinate system and is collected in Geographic Information Systems (GIS). We are applying Geospatial Artificial Intelligence (geoAI) by combining innovations in spatial science and machine learning methods to generate meaningful information from spatial big data.
Working on problems withs terabytes of data for industrial applications is one of the most pressing challenges today, and as models get more complex it’s only getting harder. By developing at scale we ensure that any solution works for many people, in many locations, and at a reasonable speed.
Identifying the likelihood of future events and predicting their implications ensure the growth and success of your company. We use a variety of data mining, predictive modeling and analytical techniques for pattern detection to support the decision making process when faced with uncertainty.
By using Natural Language Processing (NLP), our custom text analysis solutions extract meaning from text data and therefore greatly enhance the quality of reporting and analysis. We also use sentiment analysis to capture how positively or negative customers feel about topics, brands and products.