Diverse energy infrastructures, one robust solution.

Power & operational visibility

The current energy infrastructure is plagued by siloed, outdated systems that fail to meet modern demands, prone to failure during surges. The lack of an interoperable digital control plane further complicates management, leading to poor visibility across operations, and leaving energy providers vulnerable to disruptions.

We offer a 360° solution that goes beyond traditional energy management, ensuring interoperability across diverse energy assets, from generation to distribution. Our AI-first platform ensures an intelligent infrastructure that adapts in real-time to fluctuating demands, delivering consistent performance even under stress.

Our Mission & Vision

We aim to predict potential issues, prevent disruptions, and enhance output in energy infrastructure with the use of cutting-edge AI for a more sustainable energy future. Our vision is to lead the energy sector into a future where AI-driven operations create a reliable and efficient energy ecosystem, transforming the way we produce, distribute and consume energy worldwide.

Strategic Asset Management

We provide a data-driven asset management system that enhances operational visibility and reporting accuracy through solutions like digital twins, customizable dashboards, and remote monitoring. Our technology integrates and normalizes complex data from multiple sources, transforming it into actionable insights. This leads to operational efficiency and reliability that surpass ageing, legacy systems, ultimately ensuring sustainable and resilient energy operations.

Autonomous Operations Framework

Self-managing energy systems through advanced AI and machine learning! Our framework integrates real-time data acquisition from sensors and automated control systems, allowing energy assets to operate autonomously. This includes dynamic load balancing, energy resource optimization, and self-healing capabilities, with automated alerts and in-depth diagnostics ensuring resilience and efficiency across all operations without the need for constant human intervention.

Our journey over the years

2019

In 2019, we envisioned a future where energy systems are driven by AI. With expertise in cloud reliability and distributed systems, we began laying the groundwork for Elile AI.

2020

We solidified our vision by conducting extensive research and forming key partnerships with US research universities, national laboratories, and government agencies.

2021

Elile AI officially launched as a full-scale operation. We quickly secured pivotal partnerships, most notably with Armis, marking our strong presence in the energy sector.

2022

We expanded our influence in the industry, delivering AI solutions implemented across various sectors, including gas turbines, solar plants, wind turbines and desalination plants.

2023

We solidified our position as industry leaders, continuously innovating to meet the evolving demands of energy infrastructure, and strengthening our proprietary technology, ElectrOS

2024

As we move forward into 2024, Elile AI is focused on leading the energy sector towards a more resilient and sustainable future with industry-leading clients like ACWA Power.

Our core capabilities

Predict

Our predictive capabilities leverage AI models, including deep learning and probabilistic graphical models, to anticipate equipment failures and inefficiencies before they occur. We utilize advanced time-series forecasting and anomaly detection with data from high-frequency sensors and SCADA systems. Built on robust training datasets, our models enable real-time predictive maintenance with millisecond precision, continuously updating and dynamically recalibrating as new data streams in.

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Prevent

We employ multi-agent systems and decentralized AI for autonomous management. We process data at the source for immediate anomaly detection. Reinforcement learning optimizes maintenance schedules by enhancing decision-making under uncertainty. We deploy digital twins for real-time simulations and proactive interventions, preventing cascading failures. Augmented with causal inference and correlations, we ensure coordinated responses across multiple assets, minimizing the risk of widespread disruptions.

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Perform

We maximize energy plant performance using algorithms like convex optimization, evolutionary algorithms, and neural network-based controllers. Our autonomous control systems employ model predictive control (MPC) for real-time adjustments, ensuring peak efficiency. We integrate distributed ledger technology (DLT) for secure energy transactions and decentralized management. Additionally, adaptive learning systems refine strategies with genetic algorithms and ensemble learning.

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Explore what we can do for you!

We provide tailored AI solutions that tackle your specific energy challenges. Whether it’s optimizing operational efficiency, strengthening asset management, or advancing sustainability across your energy portfolio, we deliver measurable business outcomes. By partnering with us, you boost productivity, reduce operational costs, and position yourself at the forefront of the energy sector. Let us help you set new standards in energy management.

Auto-remediation Root cause Analysis AI-first approach Self-healing
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