Machine Intelligence Inc.
Machine Intelligence Zrt, founded in 2019, is an innovative technology company specializing in artificial intelligence, machine vision, and data processing solutions. With a team of experienced professionals, we develop cutting-edge AI platforms optimized for industrial quality control and other applications. Our flagship product, MInD (Machine Intelligence Designer), is used in over 40 types of investigations on production lines across six countries.
Our strength lies in our adaptability. We excel in industrial automation, deep learning algorithm development, and complex measurement techniques like ellipsometry, White light interferometry or Raman spectroscopy. Our modular solutions are hardware-agnostic and can be deployed in cloud, on-premise, and edge environments, ensuring we are ready to meet the specific needs.
Relevance to the space industry
Our company’s core competencies in industrial automation, deep learning algorithm development, and complex measurement techniques are highly relevant to space applications. We are developing cutting-edge solutions for:
- Near-Earth object detection and tracking using AI-powered image analysis
- Satellite pose estimation and autonomous navigation
- Space debris identification and monitoring
- On-board AI systems for spacecraft
- Advanced data processing for Earth observation satellites
By applying our industrial AI experience to space-related problems, we aim to enhance various space missions and operations’ efficiency, accuracy, and capabilities. Our modular, hardware-agnostic solutions can be deployed in cloud, on-premise, and edge environments, making them well-suited for the space industry’s diverse needs.
Succes stories
Achived Results
Machine Intelligence Zrt is currently engaged in two significant projects that are nearing their first major milestones:
NEODetect:
This project aims to develop an AI-powered system for real-time detection of Near-Earth Objects. Using advanced deep learning techniques, it processes astronomical imagery to identify potential NEOs and space debris. The system is designed to enhance the efficiency and accuracy of NEO discovery efforts.
DLVS3 (Deep Learning Visual Space Simulation System): This initiative focuses on creating high-fidelity synthetic data and a robust simulation environment for training AI models in space-related applications. It generates photorealistic datasets to address the challenge of limited real-world data in the space domain.
Both projects are approaching their first milestone deliverables, demonstrating significant progress in their respective areas. Additionally, the company has submitted several Discovery and GSTP proposals to ESA, which are currently under evaluation. These proposals showcase our commitment to advancing space technology through AI and machine learning solutions.
DLVS3 (Deep Learning Visual Space Simulation System):
This initiative focuses on creating high-fidelity synthetic data and a robust simulation environment for training AI models in space-related applications. It generates photorealistic datasets to address the challenge of limited real-world data in the space domain.
Both projects are approaching their first milestone deliverables, demonstrating significant progress in their respective areas. Additionally, the company has submitted several Discovery and GSTP proposals to ESA, which are currently under evaluation. These proposals showcase our commitment to advancing space technology through AI and machine learning solutions.
Machine Intelligence Zrt.
Space industry contact person: Velkei Szabolcs István
Phone number: +36706035645