AIKO and AVIO Deepen Alliance to Boost AI-Driven Launcher Operations and Predictive Maintenance

AVIO and AIKO renewed their partnership to advance AI-driven telemetry analysis in launcher operations. gifted_GENE achieved 80% anomaly detection and rapid processing in the VEGA launch campaign.

Categorized in: AI News Operations
Published on: May 19, 2025
AIKO and AVIO Deepen Alliance to Boost AI-Driven Launcher Operations and Predictive Maintenance

AIKO and AVIO Renew Partnership to Enhance AI in Launcher Operations

AVIO and AIKO have extended their strategic partnership to deepen the use of AI in launcher operations. Earlier this year, AVIO joined the AIKO PARTNER PROGRAM to integrate gifted_GENE, AIKO’s AI-powered predictive maintenance software, into their pre- and post-flight telemetry analysis workflows.

What started as a pilot project quickly evolved into a strategic collaboration, turning complex telemetry inspection and monitoring into streamlined, AI-augmented processes.

Successful Deployment During VEGA Launch Campaign

Just six months after integration, gifted_GENE was actively used in AVIO’s September 2024 VEGA launch campaign, delivering significant operational benefits:

  • Achieved 80% anomaly detection accuracy during the test flight
  • Completed telemetry analysis in under 90 seconds, demonstrating readiness for real-time operations
  • Introduced automated X-ray inspection, expanding gifted_GENE’s scope beyond numeric data to include image-based diagnostics

These results confirm gifted_GENE’s ability to perform reliably in one of the most demanding environments where accuracy and speed are critical. AVIO’s renewed commitment underscores the platform’s proven value in supporting launcher operations with AI-driven telemetry analysis and anomaly detection.

How gifted_GENE Supports Launcher Operations

gifted_GENE processes high-volume telemetry data in real time, correlating multiple data streams across subsystems. Its hybrid AI core combines statistical methods, rule-based systems, and neural networks to predict anomalies effectively.

The platform is hardware-agnostic and adaptable to both cloud and on-premises environments. It also supports third-party models and workflows, allowing engineering teams to tailor analysis for structural, thermal, and dynamic anomalies during pre-launch testing and post-flight evaluations.

Users benefit from customizable thresholds and collaborative features, including shared dashboards and intelligent tools that expedite decision-making and improve operational efficiency.

Looking Ahead

AIKO and AVIO will continue exploring new use cases for predictive maintenance and automation in launch operations. Their focus remains on improving efficiency, scalability, and reliability with the goal to reduce risk, save time, and embed AI deeper into space launch processes.

For operations professionals interested in AI applications for complex systems, learning more about AI-powered predictive maintenance can be valuable. Resources on AI automation and telemetry data analysis are available at Complete AI Training.


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