The conclusion of the AIKO Partner Program (APP) with Tyvak International marks a significant milestone in showcasing how AI and advanced collaborative tools can transform satellite operations. Through this fast-track initiative, gifted_GENE demonstrated its unmatched ability to enhance telemetry analysis and operational workflows. By addressing both AI-powered anomaly detection and threshold and rule-based analytics, the program underlined the platform’s versatility and impact across key satellite subsystems.

Comprehensive Approach: AI-Powered and Rule-based Scenarios

The APP tested gifted_GENE across distinct subsystems, leveraging its dual capabilities:

1. AI-Powered Anomaly Early Detection:

• Focused on analyzing telemetry from ADCS (Attitude Determination and Control System) components, such as RW (Reaction Wheel), IMU (Inertial Measurement Unit), and Sun Sensors.

• Detected complex anomalies, including subtle issues like erroneous yet plausible sensor readings and stuck sensor outputs.

• Processed 10 telemetry streams from two weeks of data in just 3 minutes, drastically reducing analysis time.

• Achieved 4 out of 5 anomaly detections with only 1 false positive per week per component, significantly outperforming traditional methods without causing inspection overhead in operators’ routines.

2. Threshold and Rule-Based Analytics:

• Applied advanced analytics to critical systems, including OBDH (On-Board Data Handling), CPU, EPS (Electrical Power System), and TT&C (Telemetry, Tracking, and Command) subsystems.

• Enhanced traditional threshold-based methods by adding the capability of defining rules with more complex syntax and higher level of abstraction, such as nested rules or rules that factor in the temporal duration of certain conditions.

• Allowed Tyvak International operators to define, validate, and adapt custom rules directly in the platform, improving flexibility and precision.

Collaborative Tools: Empowering Operators and Teams

Beyond its analytical strengths, gifted_GENE introduced powerful collaborative features, enabling operators to work more efficiently:

1. Unified Anomaly Management:

• Consolidated ML-detected and rules-based anomalies within a single platform for streamlined monitoring and decision-making.

2. Rule Creation and Management:

• Operators could write, edit, and validate custom rules directly within the platform, tailoring them to specific subsystems and mission needs.

3. Collaboration and Reporting:

• Integrated tools for commenting on, organizing, and sharing reports internally, fostering seamless teamwork and reducing reliance on external tools.

• Provided operators with a centralized space to manage and share anomaly reports, ensuring clarity and alignment across teams.

These features turned gifted_GENE into more than just an anomaly detection tool — it became a collaborative hub for operational excellence.

Results: Exceptional Performance Across Subsystems

The APP achieved remarkable results, underscoring gifted_GENE's impact:

Subsystem Success:

• Delivered high accuracy in ML-based anomaly detection for ADCS, and improved threshold and rule-based analytics integration for OBDH, CPU, EPS, and TT&C.

Efficiency Gains:

• Automated inspection processes that previously consumed 30% of operator time, allowing teams to focus on high-priority tasks.

Enhanced Collaboration:

• Unified anomaly management and reporting streamlined workflows, improving communication and decision-making.

Leading the Future of Space Operations

The AIKO Partner Program with Tyvak International demonstrated the revolutionary potential of gifted_GENE. By seamlessly integrating cutting-edge AI with user-centric collaboration tools, gifted_GENE proved its versatility and effectiveness in managing diverse operational scenarios. This success sets a new standard for satellite operations and highlights AIKO’s commitment to delivering innovative solutions.