AIKO and Telespazio Germany are integrating artificial intelligence directly into the daily reality of space mission operations. AIKO’s gifted_GENE technology is now fully integrated into Telespazio’s EASE-Rise platform, so operators can call on AI within their existing workflows to monitor, plan and control their missions. Instead of adding another layer of tools, the objective is straightforward: to make AI part of how operators already work.

EASE-Rise, Telespazio Germany’s modular ground segment platform, provides a unified environment for monitoring, planning, and controlling space missions, from single satellites to large constellations. Within this environment, gifted_GENE makes AI capabilities directly accessible as part of existing workflows.

gifted_GENE is AIKO’s AI software layer designed to understand and interact with mission data in context. It combines telemetry, events, and operational knowledge to support analysis, interpretation, and decision-making, delivering AI-driven insights directly within the operational environment through EASE-Rise’s modular and API-driven architecture.

With gifted_GENE fully integrated into EASE-Rise, AI moves from an experimental layer to an everyday operational capability. In practice, that translates into concrete help in some of the most critical and time-sensitive moments of mission operations:

Anomaly attribution
When an anomaly occurs, operators need to quickly determine whether the cause is internal (e.g. subsystem behavior) or external (e.g. space weather or environmental conditions). gifted_GENE classifies anomalies and points operators toward their likely origin, reducing time spent navigating multiple data sources.

Faster responsiveness
By surfacing relevant signals and highlighting possible interpretations, gifted_GENE  shortens reaction time and supports more confident decisions when minutes matter. 

Root-cause investigation across subsystems
Instead of manually correlating telemetry streams and events, operators use AI to identify patterns and relationships across subsystems, turning hours of investigation into minutes and getting the satellite back to nominal sooner.

Predictive maintenance and early warning
By analysing trends, weak signals, and deviations over time, gifted_GENE flags emerging issues earlier, helping operators anticipate potential failures days in advance, and act before they impact mission operations.

In all these scenarios, gifted_GENE supports operators where complexity, time pressure, and data volume intersect, augmenting human decision-making rather than replacing it.

This collaboration also changes how operators get their hands on AI in the first place: as part of the initiative, gifted_GENE will be available at no additional cost to all EASE-Rise customers until 2027, removing the three biggest blockers to adopting AI in mission operations: no separate procurement cycle, no integration project, no parallel pilot environment to maintain. The capability is simply switched on inside the EASE-Rise platform, which is why both companies see it as a new baseline for how AI reaches mission operations. 

“Operators don’t need more tools: they need clarity when things go not as expected,” said Lorenzo Feruglio, CEO of AIKO “By embedding AI into EASE-Rise, we’re helping them understand situations faster, anticipate issues earlier, and act with greater confidence.”

“This integration demonstrates how AI can move from isolated applications into the core of mission operations,” said Stewart Hall, Sales Director Satellite Operations and Systems, Telespazio Germany. “By making it part of the operational environment, we enable a more responsive and scalable way to manage increasing mission complexity and larger constellations.”