AIKO and Tyvak: Today, global competition is playing out in the ability to develop autonomous technologies, including artificial intelligence. In this respect, depending exclusively on foreign models would mean relying on solutions provided by other countries and losing any control over strategic data and algorithms. Start-ups, as is the case with small and medium-sized enterprises, can become motors of growth for the industrial fabric. They create new business opportunities, foster the competitiveness of companies, and, at the same time, contribute to creating an independent AI ecosystem, avoiding digital colonisation by foreign big tech.
The Turin-based scaleup AIKO, which develops advanced AI-based software and automation for space applications, and Tyvak International, an European company that makes nano and microsatellites, have announced a collaboration to optimise the operational management of satellites and reducing the workload of operators, increasing the efficiency and safety of space missions. ‘Together with Tyvak International, it was possible to field test the effectiveness and efficiency of the gifted GENE system, confirming the validity of the approach. The results promise to redefine the boundaries of space exploration, establishing a new paradigm in the sector in terms of efficiency, precision and technological advancement,’ explained Lorenzo Feruglio, CEO and Co-founder of AIKO.
AI applied to space mission
“Thanks to AI, we have been able to optimize data management and mission planning, reducing time and error margins. What excites us most is the potential this technology must completely revolutionize space missions,” added Fabio Nichele, CEO of Tyvak International. AI applied to space mission projects brings tangible benefits to companies and teams working in the sector, opening new opportunities for innovation and economic growth. The gifted GENE system, integrated with a Tyvak International CubeSat 6U satellite currently in orbit, processed and analyzed ten telemetry streams from two weeks of data in just three minutes, drastically reducing analysis time compared to traditional methods.
By automating processes, this time was reduced, allowing teams to focus on operations that were strategically more relevant to mission profitability. In practical terms, the system detected 4 out of 5 anomalies with only one false positive per week for each component, significantly outperforming the effectiveness of traditional methods where operators are directly involved. Before the integration of AI, operators had to spend around 30% of their time manually inspecting and checking telemetry data.
Europe does not stand by
Meanwhile, French President Emmanuel Macron said he will invest a total of EUR 109 billion in artificial intelligence in France over the coming years to make Europe more robust in a market currently dominated by the US and China. These include 50 billion euros invested by the United Arab Emirates to build a new data centre campus and 20 billion euros by the Canadian company Brookfield to develop AI infrastructure in France. In addition, a non-profit investment fund called Current AI will be set up during the Paris AI summit starting today, with the aim of raising EUR 2.5 billion over five years to promote AI projects in the public interest. Macron stressed the need for Europe and France to accelerate investment in AI to compete globally, highlighting the importance of maintaining European technological independence.
In an exclusive conversation with Firstpost and France TV, Macron announced that Europe will announce a EUR 109 billion investment in AI in response to what the US announced with Stargate. Last month, Trump announced a $500 billion joint venture to invest in artificial intelligence-related infrastructure, calling the initiative Stargate. The new entity is a joint venture of OpenAI, Oracle, and SoftBank and aims to develop the infrastructure needed for advanced AI systems. The company will be tasked with building data centres and power generation facilities, both of which are critical to powering the rapidly evolving AI landscape. While the initial investment is $100 billion, it could expand to $500 billion. The project is centred in Texas, with the construction of the first 10 data centres already underway.
