Zapata Computing Holdings Inc. announced a strategic collaboration with Tech Mahindra. 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.

The combined capabilities offered by Tech Mahindra and Zapata AI will help enable CSPs to enhance their operations and customer service strategies with greater flexibility and agility. Tech Mahindra's leadership in creating Large Language Models (LLMs) from the ground up, combined with Zapata?s expertise with quantum-based algorithms, tensor networks, time series data, and computational models, create new opportunities for CSPs to manage and expand their services with greater speed and efficiency.