SYSTEMATIC RISK ASSESMENT AND MANAGEMENT OF RISKS IN SPACE​

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Changing the way the risks are detected, analysed, understood and pro–actively managed.

State-of-the art solution that provides digitization and automation by introducing and supporting advanced algorithms, combining Internet of Things and edge computing with machine learning and artificial intelligence.

At Ineor, we are committed to leveraging AI and machine learning technologies to help our clients achieve their goals in space exploration. Our mission is to help clients do it even better, more safely, and take the next step towards their goals. We emphasize cutting-edge, next-generation technologies that are innovative, advanced, and superior, making us the best provider of AI solutions in the space industry.

We don’t just develop strategies to mitigate risks, but also offer forecasting capabilities to predict and plan for potential risks before they even happen. Our contingency plans and risk management strategies allow us to turn risks into opportunities, so that our clients can not only respond quickly when something happens, but be prepared for any situation before it even arises.

At INEOR, we specialize in developing AI functions that are specifically tailored to the unique needs of space exploration. Our AI functions are continuously evolving as we explore new use cases and push the boundaries of what is possible.

Focused on clients

Agile but standardized

Technological leaders

Reliable and trusted by technology leaders

Innovating for a better
future for all

The space industry unveils humanity's limitless potential and embodies our spirit of exploration, innovation, and perseverance. As we push the boundaries of what's possible the risks grow ever greater. But it is through these daring endeavors that we have achieved some of the most groundbreaking accomplishments in human history.

Don't let risks hold you back. Let us help you embrace the challenges and seize the incredible opportunities that await.

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Endless possibilities

With our custom approach to your specific needs, we can optimize safety, efficiency, and effectiveness of your operations, realizing your full potential. Such high-end, reliable solutions are needed in all segments of space programs:

Research and planning

Analyzing vast amounts of data can help identify patterns and insights that humans may miss, allowing scientists and engineers to make more informed decisions. AI can assist in mission planning by predicting potential risks and optimizing mission parameters to achieve objectives with maximum efficiency.

Training

AI can also help in training astronauts by creating virtual simulations of spacewalks or emergency scenarios. This will allow astronauts to practice in a safe environment, familiarize themselves with various equipment and procedures, and prepare for any unforeseen situations.

Equipment maintenance

AI can assist with equipment maintenance by monitoring various sensors and data streams from equipment and detecting any anomalies or changes that could indicate a malfunction. This will help in detecting potential issues before they become a significant problem, and ensure equipment works at optimal efficiency.

Health monitoring

AI can help monitor the health and safety of astronauts during space missions. It can analyze vital signs, such as heart rate, blood pressure, and oxygen levels, and detect any abnormalities or changes that could indicate a potential health issue. It can also provide real-time advice to astronauts on how to maintain their health and prevent injuries.

Risk management and emergency response

Identifying potential hazards and predicting their impact can enable teams to take preventive measures and reduce risk. In the event of an emergency, real-time data analysis and decision-making support can help teams to respond quickly and effectively. Furthermore, AI can enable autonomous systems that can operate without human intervention, allowing for rapid response to critical situations.

Ground systems

Automating routine tasks, such as data processing and analysis, can free up time for engineers to focus on more critical tasks. Optimizing resource allocation allows teams to make the most of available resources and reduce costs. Additionally, identifying anomalies and diagnosing issues can enable teams to quickly resolve problems and ensure mission success.

Space exploration

AI can analyze large amounts of data from sensors, telescopes, and other sources, helping scientists identify new discoveries and plan more effective missions. It can also assist in the development of autonomous systems, enabling spacecraft to make decisions in real-time without human intervention. Optimize spacecraft trajectories and reduce travel time, enabling missions to reach their objectives faster and with greater efficiency.

Various future applications such as long-distance space travel

Identifying potential hazards and predicting their impact can enable teams to take preventive measures and reduce risk. In the event of an emergency, real-time data analysis and decision-making support can help teams to respond quickly and effectively. Furthermore, AI can enable autonomous systems that can operate without human intervention, allowing for rapid response to critical situations.

Space is a risky business. Do you have the right partner?

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Astronauts are exposed to high levels of radiation during space travel, which can lead to an increased risk of cancer and other health problems. AI and machine learning can help predict radiation exposure levels and suggest ways to reduce the risks, such as adjusting the spacecraft’s trajectory or developing new protective materials.
Another significant risk of space travel is exposure to microgravity. Prolonged exposure to zero gravity can cause muscle atrophy, bone loss, and cardiovascular problems. This risk is particularly significant for long-duration space flights, such as those required for travel to Mars.
Space debris, including old satellites, rocket parts, and other debris, poses a significant risk to spacecraft and astronauts. This debris travels at high speeds and can cause significant damage if it collides with a spacecraft. AI can help track and predict the trajectories of space debris, enabling spacecraft to avoid collisions and reduce the risk of damage.
Launch and landing phases of space missions are complex and risky due to technical failures, weather conditions, human error, and environmental risks. AI can play a vital role in mitigating these risks by providing real-time data analysis, predicting potential hazards, and enabling autonomous systems to operate with minimal human intervention.

Space is a risky business, and you can place your trust in us to turn these risks into opportunities.​

Agile and certified

Ineor is an ISO 9001 and ISO/IEC 27001:2022 certified company and a world leader in the information security and risk management (based on COSO, PMI and ISO 31000 methodology).

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