Zapata AI Partners with Tech Mahindra to Transform Network and Customer Operations Through Industrial Generative AI for Global Telecom Customers

The collaboration seeks to engage Tech Mahindra’s global telecom customers to transform their network and customer operations by leveraging Zapata AI’s quantum-based Industrial Generative AI capabilities to deliver real-time intelligence, including in edge environments

BOSTON, May 14, 2024 (GLOBE NEWSWIRE) -- Zapata Computing Holdings Inc. (“Zapata AI” or the “Company”) (Nasdaq: ZPTA), the Industrial Generative AI company, today announced a strategic collaboration with Tech Mahindra (NSE: TECHM), a leading global provider of technology consulting and digital solutions to enterprises across industries. The companies will focus on offerings that leverage Zapata AI’s suite of quantum-based Generative AI solutions to augment Tech Mahindra’s capabilities, seeking to deliver solutions that achieve “Scale at Speed” to drive operational efficiencies and customer responsiveness for global Communication Service Providers (CSPs). The relationship will provide Zapata AI access to Tech Mahindra’s robust portfolio of global CSPs in order to market and deploy its powerful suite of Generative AI solutions.

The initial focus will be on combining Tech Mahindra's telecommunications domain expertise and Zapata AI’s cutting-edge generative AI technologies, seeking to transform telecom operations with the potential to re-shape the industry. The differentiated approach Zapata takes to Industrial Generative AI, with quantum-based algorithms, time series data, real-time analytics at the edge, and a practical deployment methodology, aims to unlock significant value for telcos across a broad range of mission critical use cases. The joint effort will look to introduce scalable, performance-enhancing generative AI-powered solutions such as network optimization, anomaly detection to prevent disruptions and intrusions, proactive network maintenance, personalized customer interactions, and lower-cost AI solutions that efficiently scale across large networks. CSPs can expect quicker deployment of new services, improved uptimes, lower cost to serve, optimized issue response, and tailored customer interactions that can adapt in real-time to changing consumer preferences. This is anticipated to improve the quality and reliability of services with superior customer satisfaction and loyalty, delivered with significant cost savings and operational efficiency.