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ARROVEN is a software-first aviation operational intelligence initiative focused on improving visibility into correlated operational behavior across interconnected aircraft systems through explainable AI-driven telemetry analytics. The platform explores AI-assisted approaches for multi-system telemetry analysis, operational drift visibility, correlated subsystem analytics, and maintenance decision-support workflows. The current phase is focused on simulation-based proof of concept validation using NASA CMAPSS datasets and synthetic operational telemetry environments.
To contribute toward the development of globally competitive aerospace operational intelligence infrastructure through explainable AI, advanced telemetry analytics, and next-generation operational visibility systems that support increasingly data-intensive aviation environments. ARROVEN’s long-term vision is to explore broader operational intelligence capabilities across fleet analytics, telemetry interpretation, AI-assisted maintenance visibility, and aerospace analytics ecosystems while maintaining a software-first, explainable, and operationally meaningful approach to aviation intelligence systems.
To develop software-first operational intelligence systems that improve visibility into correlated operational behavior across interconnected aircraft systems through explainable AI-driven telemetry analytics.
Founder & CEO of ARROVEN, an aviation operational intelligence initiative focused on explainable AI-driven telemetry analytics and correlated operational visibility across interconnected aircraft systems. Currently leading simulation-based proof of concept development using NASA CMAPSS datasets, synthetic telemetry environments, and operational intelligence workflows focused on aerospace analytics and maintenance visibility systems. Long-term focus is building technically credible and globally relevant aerospace operational intelligence infrastructure from India.
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