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Company

Dataplatr Inc

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Estados Unidos
54 funcionários
Fundado em 2023

Descrição da empresa

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In 2023, a new venture named Dataplatr Inc. was born in the heart of Silicon Valley, Palo Alto, with a clear and ambitious mission: to redefine how businesses leverage data for growth and innovation. Founded by Harish Ramachandraiah, Dataplatr embarked on a journey to empower enterprises by transforming their raw data into a strategic asset. The company recognized that in an increasingly data-driven world, the ability to make faster, smarter decisions was paramount. From its inception, Dataplatr positioned itself as a leading data and AI consulting firm, dedicated to helping businesses unlock the full potential hidden within their vast datasets. The core of their philosophy was not just to consult, but to build tailored, results-driven solutions that deliver tangible impact.Dataplatr's story is one of rapid evolution and strategic partnerships. The company quickly established expertise in Generative AI, data analytics, and automation, offering a comprehensive suite of services designed to meet the complex needs of modern enterprises. By collaborating with tech giants like Google Cloud, Snowflake, and Databricks, Dataplatr ensured its solutions were built on the most advanced and scalable technologies available. Their services span from data engineering and cloud data warehousing to data visualization and the implementation of sophisticated AI and machine learning models. This end-to-end approach allows them to tackle challenges across various business functions, including sales, marketing, HR, and enterprise-wide operations. With a growing team of seasoned AI, data, and cloud experts, Dataplatr continues to push the boundaries of business intelligence, helping clients to not only navigate the complexities of their data but to turn it into a powerful engine for sustained growth and a decisive competitive advantage.
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Informações comerciais


Escritórios em:

Estados Unidos, Índia

Principais clientes:

TTEC, Posigen, Sunrun

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