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12+

Countries where we have happy customers

1050+

Agile enabled employees

06

World wide offices

12+

Years of Experience

05

Agile Coaches

14

Certified Scrum Masters

1000+

Clients projects

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Happy customers

Overview

Horizon Energy – Saudi Arabia’s leading oil and gas company with a global presence in the energy sector. Despite its extensive reach, Horizon Energy faced growing operational challenges impacting efficiency and safety. From monitoring remote assets to ensuring compliance with environmental and safety standards, these challenges became more pressing as the company scaled its operations across challenging terrains and extreme climates.

Technical Stack

  • Computer Vision Model
  • Machine Learning
  • IoT Integration
  • Apache Spark

    • Industry

    Oil & Gas

  • region

    • Region

    Saudi Arabia

  • project-size

    • Project Size

    Non- Disclosable

Highlights

Automated leak detection, reducing detection time by 80%.

20% improvement in equipment maintenance schedules, minimizing unexpected downtimes.

Increased worker safety compliance by 40% through real-time safety monitoring.

Enhanced environmental monitoring with automated emission tracking.

Reduced operational costs by 25% by automating repetitive and error-prone tasks.

Achieved 95% accuracy in asset monitoring across both onshore and offshore sites.

Challenges & Solutions

Frequent manual inspections of pipelines were time-consuming and prone to human error.

  • Solution: Our computer vision developers created models that helped our client analyze drones and CCTV cameras to identify real-time leaks and anomalies. It helped our client eliminate manual dependencies and become proactive.

The company struggled to monitor equipment integrity across various sites, leading to unplanned downtimes and affecting productivity.

  • Solution: Using predictive maintenance models combined with IoT sensors, we provided real-time alerts for equipment requiring maintenance, thereby preventing unplanned downtimes and extending the lifespan of critical machinery.

Ensuring all safety regulations were met in real time was difficult, especially with vast onshore and offshore facilities.

  • Solution: We deployed an AI-driven system that monitors workers’ safety gear compliance. The system detects real-time safety violations and immediately notifies supervisors to ensure rapid corrective action.

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12+

Years of Business
Experience

1458+

Happy
Customers

12+

Countries with
Happy Customers

1050+

Agile enabled
employees

Core Features

  • Real-Time Anomaly Detection
  • Predictive Maintenance Alerts
  • Safety Compliance Monitoring
  • Automated Environmental Monitoring
  • no.-of-resources

    • No. of Developers

    04

  • time-frame

    • Time Frame

    August 2024 - Ongoing

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