Powering Efficiency and Innovation in the Energy Industry

We develop data-driven solutions to help energy and utilities companies enhance efficiency, innovate, ensure compliance, and achieve sustainability goals.

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GenAI Solutions

Advanced AI techniques to automate content creation, enhance customer service through conversational agents, generate personalized images, enrich data with new metadata, provide personalized recommendations, and streamline document access and analysis.

Optimization & Sustainability

Improving operational efficiency and sustainability through energy optimization, waste reduction, resource utilization enhancement, location and pricing optimization, and forecasting for better decision-making.

IoT Analytics

IoT data to predict maintenance needs, detect anomalies, optimize energy use, streamline logistics, and manage inventory in real-time, thus enhancing overall operational efficiency and reliability.

Report Modernization

Transforms traditional reporting systems into dynamic, real-time analytics platforms with automated report generation, interactive dashboards, data integration workshops, and the incorporation of advanced technologies like AI for deeper insights.

Cloud Data Platform

Provides scalable, secure cloud data management solutions, including native data platform design, cloud data migration, edge computing integration for real-time processing, automated data access (Data Vending Machine), and self-service business intelligence tools.

Co-Creation and Strategic Roadmap

A comprehensive approach to developing and implementing data-driven solutions through collaborative workshops, focusing on creating AI-driven data products, enhancing data governance and democratization, and upgrading cloud data platforms for scalability and efficiency​.

Discover our Journey Proposed for an Energy Company

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We Are Already Adding Value to Our Client’s Business

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Reduced material costs by 5% and achieved more than $300K in annual savings

We helped our customer optimize final product manufacturing without impacting peak production. We used an optimization model to boost efficiency and reduce resource use while maintaining or improving production quality.

 
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Automated system reduced incident detection and resolution time by 60%

We helped our client, a multinational energy group, predict grid incidents to provide better service. With an automated incident management system, the client can now manage incidents proactively, mitigating the risks of extended downtime and service disruption.

See all client stories

Innovative Applications of Technology
in the Energy Sector

GenAI Solutions

5

Text Generation: Automating content creation for marketing, support, and creative documentation.

5

Conversational Agent: Implementing AI-driven customer service solutions.

5

Image Generation: Creating personalized images for data analysis and training.

5

Data Enrichment: Enhancing databases with new metadata.

5

Recommendation: Providing personalized product recommendations.

5

Document Interrogation: Streamlining access to critical information from large documents​​.

Optimization & Sustainability

5

Energy Optimization: Improving energy use efficiency.

5

Scrap Rate Reduction: Minimizing waste in manufacturing processes.

5

Yield, Workforce, and Stock Optimization: Enhancing resource utilization and operational efficiency.

5

Location Optimization and Smart Pricing: Leveraging AI to improve operational decisions and reduce costs.

5

Forecasting and Multivariable Optimization: Anticipating future challenges to optimize decision-making processes.

IoT Analytics

5

Predictive Maintenance: Forecasting equipment maintenance needs to reduce downtime.

5

Anomaly Detection: Identifying unusual patterns to prevent system failures.

5

Energy Optimization: Integrating ESG practices to enhance energy efficiency.

5

Logistics and Supply Chain Optimization: Streamlining logistics operations to reduce lead times.

5

Inventory Management Optimization: Real-time tracking and management of inventory​​.

Report Modernization

5

Automated Reporting Systems: Streamlining report generation and distribution.

5

Interactive Dashboards: Transforming static reports into real-time analytics platforms.

5

Data Integration Workshops: Enhancing teams’ abilities to merge and visualize data from various sources.

5

Advanced Technology Integration: Incorporating AI and machine learning for predictive analytics and dynamic report generation.

5

Customised Solutions for Sector-Specific Challenges: Tailoring reporting solutions to meet industry-specific needs​​.

Cloud Data Platform

5

Native Data Platform Design and Cloud Data Migration: Ensuring scalable and secure cloud data management.

5

Integrating Edge Computing Solutions: Bringing real-time processing closer to IoT devices for quicker insights.

5

Data Vending Machine: Automating data access and retrieval processes.

5

Business Intelligence Tools: Enabling self-service analytics and data visualization​​​​.

Co-Creation and Strategic Roadmap

5

Data Products Lane: Developing AI-driven solutions for operational optimization and sustainability.

5

Data Management Lane: Enhancing governance and data democratization for improved reporting and optimization analytics.

5

Data Platform Lane: Upgrading cloud data platforms to support scalable IoT integration and Industry 4.0 technologies​​​​​​.

Head of Data Analytics & Engineering

Manufacturing Company

Hand in hand with Keepler we managed to make a differential leap in our IoT project in the public cloud. It is the ideal partner because of its technological knowledge of the cloud and its methodological approach to data projects. In this world, where it is increasingly necessary to have a continuously updated expert knowledge and where talent management is so complicated, Keepler has been the best traveling companion to make our platform a scalable, reliable and secure product.

★★★★★

Future Insights of the Energy Industry

Artificial intelligence is transforming the energy sector, enhancing operational efficiency and reducing costs. Executives highlight AI as crucial for achieving growth and profitability, driving rapid adoption and significant market expansion.

billion USD

The AI in Energy Market is poised for significant growth, with the market projected to reach USD 42.67 billion by 2029.

– Maximize Market –

%

Advancements in AI for predictive maintenance could lead to a 20% increase in operational uptime.

– McKinsey –

%

AI-driven software can improve customer savings by approximately 5% year-on-year.

– EY –

%

Leaders that has develop an AI implementation roadmap reports 72% higher annual net profits and 17% increase in annual revenue growth compared to their peers.

– IBM –

We Help you to Align IT and Business Teams

The Navigator is strategically designed to align Business and IT teams through a holistic and structured approach, ensuring that both sectors work cohesively towards common business objectives.

Navigator ensures that Business and IT teams are not only aligned but are actively collaborating to drive transformative business outcomes.

Know more about Navigator
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Would you like to talk about how to integrate AI into your Data?

Contact us and let’s start the conversation!

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