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Diginex Announces Non-Binding MOU for the Acquisition of Kindred OS and entering the Edge AI Technology market
Globenewswireยท 2025-11-06 12:15
Core Viewpoint - The proposed acquisition of Kindred OS by Diginex aims to enhance its position in AI, data privacy, ESG, and regulatory compliance technology, focusing on a privacy-first approach in Edge AI [1][2][4]. Company Overview - Diginex Limited is a recognized provider of Sustainability RegTech, headquartered in London, and focuses on streamlining ESG, climate, and supply chain data collection and reporting [9]. - The company utilizes blockchain, AI, machine learning, and data analysis technology to increase transparency in corporate regulatory reporting and sustainable finance [9]. Acquisition Details - Diginex has executed a non-binding memorandum of understanding (MOU) to acquire Kindred OS, an innovator in Edge AI technology [1]. - The integration of Kindred's H1 Edge AI platform into Diginex's product suite aims to create a privacy-preserving operating layer across compliance and ESG solutions [5][11]. Strategic Importance - The acquisition is seen as a strategic milestone in Diginex's growth journey, positioning the company to become a global platform for Regulatory Technology powered by responsible AI [4][8]. - By combining Diginex's regulatory expertise with Kindred's local AI architecture, the company aims to enhance performance and compliance in regulated sectors [4]. Market Potential - The global Edge AI market is projected to grow from USD 20.78 billion in 2024 to USD 66.47 billion by 2030, at a CAGR of 21.7% from 2025 to 2030, indicating significant opportunities for Diginex in privacy-first, AI-enabled compliance and ESG solutions [6]. Technological Advantages - Edge AI allows organizations to perform complex data analysis within their own infrastructure, ensuring sensitive information remains secure and compliant with regulations [2][7]. - The technology enables real-time compliance intelligence that evolves with changing regulations, thereby advancing sustainability goals by reducing reliance on energy-intensive cloud infrastructures [7].