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    Decoding Investment Impact: What To Look for Before, During, and After Investing in AI Companies with Pramod Gosavi 

    Gen AI has been a bit difficult because it is one thing where many companies will see short-term success, but they might not succeed in the medium and long term.

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    Decoding Investment Impact: What To Look for Before, During, and After Investing in AI Companies with Pramod Gosavi 

    In the rapidly evolving landscape of technology investment, the allure of AI companies has captured the attention of venture capitalists seeking high-growth opportunities. As the world embraces artificial intelligence to solve complex problems and drive innovation across industries, investors are keenly attuned to the potential impact and returns offered by these ventures. However, navigating the intricacies of investing in AI companies requires a nuanced understanding of what to look for before, during, and after making an investment decision. In this discussion, we'll decode the investment impact by exploring key considerations and strategies for evaluating AI companies, maximizing investment potential, and mitigating risks throughout the investment lifecycle.

    To give us insights from an investor perspective we have with us Pramod Gosavi who brings a wealth of experience in product management and engineering to his role as an investor at 11.2 Capital. With a passion for technology and innovation, Pramod is dedicated to identifying and supporting the next generation of enterprise software companies. Leveraging his operational background and domain expertise, he empowers entrepreneurs to build and scale innovative solutions for the enterprise market. Pramod's previous roles include positions in corporate venture capital, strategy, and corporate development at VMware, where he led investments and acquisitions in cloud computing, information security, and SaaS. With a deep understanding of the tech landscape and a commitment to driving meaningful impact, Pramod is poised to shape the future of technology.

    In his upcoming discussion, Pramod will shed light on his journey from engineering roles at Sun Microsystems to venture capital in Silicon Valley, emphasizing his focus on funding startups in the AI and data science space. Drawing from his extensive experience, he will delve into the critical factors VCs consider when discerning between hype and sustainable potential in AI companies, highlighting the importance of evaluating founders and the scalability of technologies. Additionally, he will offer insights into navigating the dynamic landscape of technology trends and entrepreneurship, providing valuable advice for aspiring VCs looking to embark on this career trajectory.

    AIM: Can you share insights into your journey transitioning from Sun Microsystems to venture capital in the Valley, particularly focusing on funding startups in the AI and data science space? For those aspiring to enter the VC realm, what pathways or strategies would you recommend to embark on this career trajectory?

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    About the author

    Anshika Mathews

    Anshika is the Global Media Lead for AIM Media House. She holds a keen interest in technology and related policy-making and its impact on society.

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