TLDR: Tiger Analytics has announced a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to accelerate the development and deployment of generative AI solutions. This multi-year partnership aims to combine Tiger Analytics’ deep AI expertise with AWS’s robust cloud infrastructure and AI services to help businesses across various sectors, including BFSI, manufacturing, retail, and healthcare, leverage generative AI for operational efficiency and enhanced customer experiences.
Tiger Analytics, a leading AI and analytics services provider, has officially entered into a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS). Announced on October 7, 2025, this partnership is set to significantly accelerate the development and deployment of innovative Generative AI solutions for enterprise customers.
The collaboration strategically combines Tiger Analytics’ extensive expertise in artificial intelligence and analytics with AWS’s secure, scalable cloud infrastructure and comprehensive suite of AI services. The primary goal is to empower businesses to harness the full potential of Generative AI, moving from experimental phases to achieving tangible business outcomes.
Tiger Analytics brings to the table an existing portfolio of GenAI offerings, which includes agent-driven platforms for business insights, advanced information retrieval systems for sectors like pharmaceuticals, and specialized solutions for Banking, Financial Services, Insurance (BFSI), manufacturing, supply chain, and retail operations. The company employs over 6,000 experts globally, covering areas such as Data Science, Data Engineering, ML Engineering, Application Engineering, Consulting, and UX, all actively engaged in GenAI customer engagements.
Badrish Prakash, Global Head of Alliances at Tiger Analytics, emphasized the significance of this expanded partnership, stating, “Our expanded partnership with AWS marks a significant milestone in delivering cutting-edge Generative AI solutions to our customers. By leveraging AWS’s secure, scalable cloud infrastructure and AI services such as Amazon Bedrock, Amazon Nova, and Amazon SageMaker, we empower organizations to accelerate innovation, gain a competitive advantage, and transform their business operations. This agreement enables us to help our clients move from AI experimentation to tangible business outcomes.”
The agreement focuses on delivering flexible and scalable GenAI solutions tailored to industry-specific challenges. Customers across diverse sectors, including BFSI, manufacturing, retail, consumer goods, and healthcare, are expected to benefit from Tiger Analytics’ domain expertise integrated with AWS’s comprehensive AI services. Key AWS services highlighted in the collaboration include Amazon Bedrock for accessing foundation models, Amazon Nova for deploying generative applications, and Amazon SageMaker for managing the training, tuning, and operationalization of models.
This partnership underscores a commitment to enhancing business processes through Generative AI, offering end-to-end implementation, change management, and adoption support. Tiger Analytics also emphasizes its LLMOps framework for Large Language Model (LLM) operationalization, ensuring seamless integration and deployment, along with robust LLM governance and responsible AI practices.
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Ultimately, the collaboration aims to drive operational efficiency, enhance customer experiences, and unlock new business value for organizations seeking to integrate advanced AI capabilities into their core operations.
