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Satayan Mahajan

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As CEO of Datalign Advisory since its 2022 launch, Satayan Mahajan leads a company that's revolutionizing wealth management through AI and machine learning technology. The platform intelligently connects individuals seeking financial guidance with leading Registered Investment Advisors (RIAs), having facilitated nearly $40B in referrals. Under his leadership, Datalign has become a trusted partner to over a third of Barron's Top 100 RIAs, achieving remarkable 18% month-over-month growth and maintaining 100% advisor retention.
Drawing from his experience as GM and Head of Product at Amazon.com, Mahajan assembled a pioneering team from tech giants including MIT, Amazon, Meta, Google, and Microsoft. His own track record of innovation includes his role as CEO of Motus Corporation, where he developed the first wireless, self-contained motion tracking system. This breakthrough led to iClub - an innovative sports technology platform that gained international recognition through partnerships with leading sports brands. His work extended into healthcare through Motus Medical, where he advanced motion-based rehabilitation and remote patient monitoring solutions.
An MIT graduate, Mahajan continues to support entrepreneurship by serving as a judge for MIT's Entrepreneurship Competition. His proven ability to identify market opportunities and build successful ventures across multiple industries has enabled Datalign Advisory's rapid ascent in transforming the wealth management landscape.

  • AI in Fintech: Navigating Regulations and Risks
    Satayan highlights regulations like the FCRA and GDPR, stressing "Regulatory Compliance should be a critical factor." He warns of AI failures, citing the 2010 Flash Crash and Apple's 2019 credit card bias. As AI's power grows, so must our commitment to responsible development and risk management.
  • AI's Transformational Future in Fintech: Opportunities and Challenges
    Satayan predicts AI will "hyper-personalize banking," enhance fraud detection, and automate wealth management. Challenges include data privacy, algorithmic bias, and regulatory compliance. He advises maintaining human oversight in decision-making, robust AI testing, and financial literacy programs to prevent over-reliance on AI. AI should complement, not replace, human judgment.