Comprinno & AWS Sign Multi-Year Deal to Boost GenAI Adoption in India
Comprinno, a leading Cloud & AI Advisory, today announced that it has signed a two-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to accelerate the adoption of Generative AI (GenAI) & drive cloud modernization for enterprises across India.
Under this agreement, Comprinno will leverage its deep expertise in software & data engineering alongside AWS’s advanced GenAI services to help organizations across industries such as financial services, retail, logistics, & healthcare build & scale enterprise-grade AI solutions.
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Through this collaboration, the two companies will co-create tailored GenAI solutions to help Indian enterprises boost innovation, improve customer experience, & enhance operational efficiency. Comprinno & AWS will also work jointly on cloud modernization programs, encompassing DevOps transformation, AI integration, data governance, & operational resilience, ensuring customers realize measurable outcomes & sustainable value.
“This Strategic Collaboration Agreement underscores Comprinno’s commitment as an AWS GenAI Competency Partner to helping organizations across India unlock the transformative power of Generative AI & cloud technologies,” said Prasad Puranik, CEO of Comprinno. “By combining AWS’s robust infrastructure with our engineering expertise, we’re enabling businesses to innovate faster, achieve operational excellence, & drive meaningful results.”
Bhupali Tambekar, CTO of Comprinno, added,
“Generative AI is redefining how enterprises innovate & make data-driven decisions. Through this collaboration with AWS, we aim to make AI adoption more seamless, scalable, & secure for Indian businesses. Our goal is to help organizations integrate GenAI into their workflows, turning data into intelligence & innovation into impact.”
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The collaboration will also include joint go-to-market initiatives, specialized AI engineering teams, & the co-development of reusable GenAI assets & frameworks to help enterprises move faster from experimentation to production.
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