Premji Invest Eyes AI Funding for San Francisco-Based Startup Galileo

Tuesday, 3 September 2024, 23:19

Premji Invest is set to infuse $10-$15 million into Galileo, a rising star in the AI landscape. This funding is part of a Series B round aimed at enhancing AI capabilities. With the generative AI sector booming, this investment marks another strategic move for Premji Invest's portfolio, which increasingly focuses on innovative AI platforms. Galileo specializes in improving machine learning model accuracy through advanced MLOps.
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Premji Invest Eyes AI Funding for San Francisco-Based Startup Galileo

Funding Announcement for Galileo

Premji Invest, led by Wipro Chairman Azim Premji, is poised to invest between $10-$15 million into the AI startup Galileo. This investment comes as part of the company's Series B funding round. Galileo, which previously raised $18 million in a Series A funding round in November 2022, focuses on enhancing AI solutions through improved accuracy in machine learning models.

Understanding Galileo's Role in AI

Galileo operates in the MLOps space, which is critical for the collaboration between machine learning engineers and data scientists. The platform addresses issues in model training data, such as mislabeled data, ensuring the integrity of AI outputs.

Premji Invest's Strategic AI Investments

This move is part of a broader strategy by Premji Invest, which has made numerous AI investments recently. Notably, it has invested in companies like Hippocratic AI, Hugging Face, Canva, and Poolside. With an appetite for fostering AI innovation, Premji Invest is building a significant global portfolio.

Galileo's Innovative Approach

In addition to boosting model accuracy, Galileo’s observability stack monitors and mitigates harmful outputs, thereby enhancing the safety and effectiveness of AI applications. Founded by former employees of tech giants like Google, Apple, and Uber, Galileo is positioned at the forefront of AI operational solutions.

For more intricate details on this funding round and its implications for the tech landscape, explore further reports.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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