IRAYA ENERGIES SDN BHD

Contact Information

Iraya Energies was founded in 2016 and has a regional presence in Kuala Lumpur, Stavanger, Manila, and Houston. We have a dedicated team of 20+ data scientists and domain experts in Kuala Lumpur and Manila, an expert management team, and a global presence with strategic industry partnerships.

We are a Business-to-Business Artificial Intelligence (AI)/ Machine Learning (ML) software development company focused on the application of natural language processing, automated image recognition & geolocation. Furthermore, we focus on companies, organizations, or entities that are in the 4E Industries, which are Earth, Energy, Environment, and Engineering. Thus, deploying our flagship AI-powered products to clients worldwide, and even custom tailoring our software to our clients’ needs.

Simultaneously, we are aligned with PETRONAS’ vision in pushing the sustainability agenda nationwide, being a harbinger for the support of UN2050 Net Zero Carbon. Our flagship products, ElasticDocs and Data Atelier are the best in the industry as a leading solution for converting Unstructured Data to Structured Data, where every piece of information is centralized and searchable. This time-saving tool will positively impact overall costs, non-productive time, and the overall efficiency of an organization. Our team is experienced in the 4Es industries and committed to decarbonization and new energy.

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Accreditation and Certification

Certification Type Application Date of Awarded
ISO 27001 Certified Information Security Management 25 October 2022
ISO 9001 Certified Quality Management System 25 October 2022

Key Clients Projects

Country Clients Project Name and Summary of Work Space Year
Malaysia PETRONAS PETRONAS HUC Phase 2 2022
Malaysia PETRONAS Augmented Engineering Review: Data Ingestion – Engineering Files 2022
Italy ENI ElasticDocs Deployment: Data Ingestion POC Project 2022
Australia Multi - Clients Data Atelier Mining 2022
Brazil PETRONAS Brazil ElasticDocs Deployment, Data Atelier Ingestion and Facies evaluation – Phase 2 2022