Enabling a global energy provider to harness real-time insights for asset performance and carbon footprint reduction.
A multinational energy provider with operations spanning exploration, refining, and renewable integration engaged Silvature to modernize its analytics platform. The client aimed to improve asset reliability, streamline decision-making, and achieve measurable reductions in carbon intensity across global facilities.
Legacy data systems and siloed operational tools limited visibility across production assets. Analytics processes were largely reactive, dependent on manual reporting, and unable to deliver real-time insights necessary for predictive maintenance or carbon tracking. The client sought to unify data from diverse assets while maintaining strict regulatory compliance and data security.
Silvature designed and deployed a secure, cloud-native analytics ecosystem integrating IoT telemetry, SCADA data, and AI-driven performance models. The platform enabled continuous monitoring of asset health, predictive maintenance scheduling, and dynamic carbon reporting. Our consultants worked closely with the client’s engineering and sustainability teams to ensure model interpretability, governance, and ethical data use.
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