Our AI transcends the constraints of conventional CPU design, which depends on bytes of RAM, our system utilises a context window of tokens and processes millions of financial parameters, redefining hyper-personalization in Investment Management in unprecedented ways.
In an age of data explosion and generative AI, the traditional financial industry remains blind to the vast wealth of available information. Conventional quantitative methods merely scratch the surface, processing less than 1% of data, as highlighted by IBM research. This glaring inefficiency results in static, generalized investment strategies, incapable of navigating the complexities of today’s financial landscape.
Our AI Agentic workflow allows us to process & analyze millions of financial parameters — a task impossible for human fund managers. This ensures that our client's investments are always aligned with the most current market opportunities and risks by providing investors with superior, ai-engineered hyper-personalized portfolios.
We believe that each investor's risk appetite is unique, which is why we assign dedicated AI Agents to manage their portfolios. These agents continually learn and adapt to the investor's specific financial situation, making real-time adjustments to enhance returns and reduce risks. Our approach, unlike the industry'sone-size-fits-all standard, ensures that investments are tailored and optimized without the necessity for constant human oversight.
His passion for innovation and technology has led him to build and deploy numerous AI & ML products for various stakeholders. Vijay has made significant contributions to Arcadia AI a groundbreaking meeting assistance tool for both B2B enterprises. His visionary contributions extended to VRYNT, where he engineered an advanced NFTs Generation Engine powered by cutting-edge GAN models, empowering artists and creators to produce unique NFTs for the VRYNT marketplace
With over five years of hands-on experience, He excelled in roles such as Machine Learning Scientist, AI Architect, and Data Science Consultant. His comprehensive understanding of Financial Machine Learning is further highlighted by his successful management of investment portfolios worth 10 crore INR, further underscoring his deep understanding of the financial landscape in leveraging AI to optimize financial strategies.
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Financial ML Engineer
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Reinforcement Learning Engineer
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Quantitative Engineer
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Python Backend Engineer
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Frontend Engineer (React & NextJs)
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Full Stack Engineer
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Product Engineer
We are honoured to partner with some of the most distinguished advisors in the industry, backed by elite investment management firms. This unparalleled network of expertise fuels our mission to drive transformative change in the financial landscape.
With over 25 years of extensive experience in the financial sector, He has worked with prestigious organizations like IL&FS Mutual Fund, UTI Mutual Fund, and SPA Capital Services Ltd.
also developed proprietary low-cost taxation models for FIS, Tech Mahindra, TATA group, WIPRO, Aricent Technologies (Under Capgemini), Hughes Systique, HCL Technologies etc.
Registered Investment Advisor
Rausan, a seasoned investment advisor, brings decades of expertise in equity and mutual fund research, as well as portfolio management for HNIs.
With a stellar track record as a fund manager at leading asset management firms including Frontline Assets and IIFL, Rausan delivers unparalleled insights and strategies for optimal financial growth
Registered Investment Advisor
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