Artificial Intelligence Applications Service Request
With our competence in artificial intelligence and data science, we develop high value-added solutions for the missile systems we are developing, supporting subsystems and related sectors. We offer this know-how in the defense industry as a service. In this context, you can contact us for your requests such as consultancy, training and project solutions in the field of artificial intelligence and data science.
Our Competence Areas
Robotics Artificial Intelligence Applications
You can increase the value of your systems with the solutions of our organization with real-time, tailor-made solutions for smart munitions, manned/unmanned land/sea/air vehicles. You can apply for end-to-end solution development, from the identification of the area where value will be generated to the integration of the final solution into the relevant platform to meet the requirements.
High Fidelity End-to-End Data Science and Machine Learning Applications
You can apply to get high-performance results with problem-specific approaches in areas such as big data management, regression/classification modules for regular numerical data, computer vision applications and decision support modules.
Our Service Areas
Tabular Data Analysis, Regression and Classification & Time Series Models
Analyzing tabular data, extracting statistical characteristics and preparing them for modeling processes, then developing models in line with tactical level requirements and delivering them as workable within the requirements in the environment where they will be implemented.
Computer Vision
Big data and tag management, development of custom models and modules based on requirements, design process of performance and error metrics, performance optimization processes by optimizing data-algorithm and model components together, delivery of a ready-to-use final product that meets the requirements.
Decision Support Applications
Developing real-time artificial intelligence-based autopilot and control systems, developing behavioral models, large-scale process optimization, developing agents to find optimum solutions, analyzing the effectiveness of the developed agents.
Active Learning and Data Retrieval Optimization
Optimizing the amount of data ingestion by using data science algorithms to make choices during the ingestion of both real-life and computerized data.
