Machine Learning Solutions Chairperson of the Year 2024 (Southeast USA): Srinivas Kilambi, Sriya.AI - by Kaven Oscar Cooper, CEO Monthly.                           YAHOO Finance Profiles Sriya.AI and its revolutionary Large Numerical Model (LNM) Technology

Solving Complex Problems

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"Transforming Complexity into Clarity"

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PROBLEM

PROBLEM

Traditional AI-ML solutions often fail to solve complex problems, with an accuracy rate of around 75%. This can be a significant challenge for companies that rely on accurate and precise predictions. Sriya.ai's SXI, on the other hand, has an accuracy rate of 98%+.

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COMPETITIVE LANDSCAPE

COMPETITIVE LANDSCAPE

With 98%+ accuracy, SXI surpasses competitors’ 75%, making it ideal for all companies, including SMEs. Unlike C3, H2O, and others focused on Fortune 1000, SXI empowers broader data-driven growth.

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GO TO MARKET STRATEGY

GO TO MARKET STRATEGY

Our tech has been used by over 25 enterprises across hundreds of millions of data points. Sriya.ai aims to market its platform to companies looking to improve their predictive accuracy and their business outcomes.

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COMPETITIVE ADVANTAGE

COMPETITIVE ADVANTAGE

SXI's strengths include high accuracy, precision-focused AI, and a math-based approach. It simplifies complex problems into bi-variate models and offers personalized, cost-effective solutions, enabling businesses to optimize outcomes affordably.

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USERS & AUDIENCE

USERS & AUDIENCE

SXI provides accurate, CXO-friendly predictions to drive business outcomes, with easy tracking and monitoring. Its affordable, per-model pricing supports companies priced out of complex AI, offering accessible, impactful solutions.

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FOUNDING TEAM

FOUNDING TEAM

Developed by two PhDs with $2M+ investment, SXI offers game-changing tech for fintech, healthcare, and more. Founder Dr. Srinivas Kilambi, a successful entrepreneur, built it for easy CXO usability and tracking.

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