The Visionaries Behind Ai DataFrames

Ai DataFrames thrives under the leadership of a visionary team committed to redefining the future of market predictions. Vince Dayes, our President and Founder, spearheads our mission with an exceptional passion for data analytics and market trends. Rian Cruttenden, CFO and Co-Founder, provides financial acumen, ensuring sustainable growth and strategic alignment. Filiberto J. Mendoza, COO and Co-Founder, drives operational excellence, ensuring seamless execution.

Joining this pioneering group are Rohit Vyas and Taeho Kim, whose exceptional expertise in software development and technology innovation form the backbone of our advanced AI platforms. Their dedication to building state-of-the-art solutions empowers Ai DataFrames to deliver unmatched predictive power.

Together, this dynamic team is charting a new course in AI-driven forecasting, combining technical prowess, strategic insight, and visionary ambition to lead the evolution of predictive analytics.

Filiberto J Mendoza • Vince Dayes • Rohit Vyas • Taeho Kim

About Us

“We’re not just building a product; we’re shaping the future of forecasting.”

Ai DataFrames is a visionary startup redefining the future of market predictions through advanced AI technology. Born from the idea of unlocking the untapped potential of data in global futures markets, we aim to provide cutting-edge insights that empower businesses to navigate complex financial landscapes with confidence. Innovation is at our core, and our mission is to build the most advanced prediction models that drive impactful decisions and create lasting value.

As a startup, we embrace agility, creativity, and bold thinking to solve complex challenges. Our innovative approach combines state-of-the-art technology with a relentless drive for precision, positioning Ai DataFrames as a pioneering force in the financial analytics industry.

Vince Dayes, President and Founder:

Vince holds two Master’s degrees—Statistics (2010) and Computer Science (2012)—and has over 30 years of experience in Software Engineering and Quality Assurance.

He has a deep specialization in Prediction Technology, with notable expertise in developing predictive models for both sports and finance. His first Master’s thesis, which integrated advanced statistical methodologies with Thoroughbred Horse Racing, is widely regarded as a groundbreaking achievement in predictive modeling for the sport.

Currently, Vince is pioneering a novel approach to candlestick chart analysis. By converting candlestick patterns into predictive variables, his work aims to unlock transformative advancements in Prediction Technology.

As a forward-thinker, Vince recognizes the immense potential in leveraging historical price data from major Futures markets to uncover actionable insights and drive innovation in forecasting methodologies.

Rian Cruttenden, CFO & Co-Founder:

With an extensive background in finance and investment, Rian serves as the Chief Financial Officer (CFO) of Ai DataFrames. Drawing on his experience as the property manager for Cruttenden Partners, he has honed his expertise in financial strategy, asset management, and sustainable growth. At Ai DataFrames, Rian plays a pivotal role in shaping our financial direction, ensuring that our goals align with market opportunities and long-term objectives. His deep understanding of market dynamics and investment trends drives data-informed decisions, positioning the company for success in the competitive landscape. Rian’s leadership is integral to scaling our business and delivering lasting value to our stakeholders.

Filiberto J. Mendoza, COO & Co-Founder:

Filiberto brings a wealth of experience in operational management, digital infrastructure, and process optimization. With a career rooted in delivering tech-driven solutions, he combines technical expertise, creativity, and leadership to effectively drive the company’s operations while building a strong foundation for growth.

By monitoring performance across departments, Filiberto identifies areas for improvement, optimizes resources, and ensures operational efficiency. He fosters collaboration across teams, promoting a cohesive approach to achieving organizational goals. His focus on innovation leads to process enhancements and the adoption of advanced solutions that boost productivity.

In close partnership with the CEO, Filiberto develops and executes actionable strategies that turn vision into measurable outcomes.

Rohit Vyas, Lead Researcher and Data Analyst | AI Commodity Prediction Models

Rohit Vyas is a dynamic researcher and team leader specializing in AI-driven commodity prediction models. With a Bachelor’s degree in Computer Engineering and a Master Diploma in Business Analytics from Pune University, India, Rohit blends technical expertise with sharp analytical acumen to solve complex business challenges.

Rohit’s professional journey includes a robust tenure as an Engineering Manager in leading tech firms, where he honed his skills in scalable software development and team leadership. Leading this researcher group, he channels his expertise into creating predictive models that enhance decision-making for the commodity trading ecosystem.

With deep proficiency in Python and PyTorch,. His specialization in data quality management ensures the integrity and reliability of datasets, a critical factor in the success of prediction techniques. Rohit is also adept at working with Large Language Models (LLMs), enabling innovative approaches to information extraction and trend analysis.

A visionary in cloud infrastructure automation and MLOps, Rohit has designed and implemented robust data pipelines that streamline workflows and improve operational efficiency. His ability to build scalable and secure cloud solutions accelerates model deployment, ensuring seamless integration with real-world applications.

Driven by curiosity and a passion for problem-solving, Rohit is dedicated to advancing AI in the realm of commodity predictions, making impactful contributions to the field and empowering organizations with data-driven insights.

Taeho Kim – Software Developer & Data Scientist

Taeho Kim joined AI DataFrames in August 2024, combining his passion for AI and finance. With a background in computer engineering and AI, his role focuses on ensuring data accuracy, developing AI models, and supporting their deployment in the financial sector. Taeho’s goal is to create profitable financial models by leveraging his programming skills and understanding of AI.

He values the company’s focus on simplifying AI models to predict general market trends, which he believes provides a reliable foundation for financial decisions. Taeho appreciates the open and flexible culture at AI DataFrames, where the team, with diverse expertise, works toward a common goal. He is excited about the company’s growth and its potential to lead in the AI fintech space.

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DISCLAIMER

The information, tools, and services provided by Ai DataFrames (AiDF) are intended solely for educational and informational purposes. AiDF does not provide personalized investment advice and does not guarantee the accuracy, completeness, or timeliness of the predictive data or analytics provided. Any financial decisions based on the content and tools offered by AiDF are made at your own risk.

AiDF’s predictions and analyses are based on historical data and algorithms that are subject to inherent risks and uncertainties. Past performance is not indicative of future results, and any forecast or market prediction may differ from actual outcomes. AiDF disclaims any liability for investment losses or other damages that may result from the use of its services or reliance on its content.

Users are strongly encouraged to seek advice from licensed financial professionals before making any investment or trading decisions. AiDF is not responsible for any investment decisions, risks, or outcomes associated with the use of our platform or the information we provide.

By using our services, you agree to these terms and understand that AiDF is not responsible for any losses incurred.

Disclaimer for Ai DataFrames (AiDF)

1. General Information
The content, tools, and services provided by Ai DataFrames (AiDF) are intended for general informational and educational purposes only. While AiDF strives to provide accurate and up-to-date information based on its proprietary algorithms, the data is subject to various factors beyond our control, including but not limited to market conditions, economic events, and unforeseen external influences. Therefore, AiDF does not guarantee the accuracy, completeness, reliability, or timeliness of the information or analytics provided.

2. No Investment Advice or Professional Relationship
AiDF is not a licensed financial advisor, investment advisor, or broker-dealer. The content generated by our platform, including but not limited to market predictions, analysis, and other financial insights, does not constitute financial or investment advice. Use of the AiDF platform does not create any fiduciary or professional relationship between AiDF and its users. Users should not rely solely on the information provided by AiDF for making financial, legal, or investment decisions.

3. Risk Acknowledgment
The predictive analytics and forecasts provided by AiDF are based on historical data and advanced algorithms designed to offer insights into potential future market trends. However, all predictions are inherently uncertain and may differ from actual outcomes due to market volatility, unforeseen events, and other unpredictable factors. Past performance of markets, assets, or strategies is not a reliable indicator of future results. You should be fully aware of the risks involved in any investment activity before acting on any data or information provided by AiDF.

4. User Responsibility
Any financial decisions made based on information or data obtained through AiDF are solely the responsibility of the user. AiDF strongly encourages users to perform their own research, verify the accuracy of the information, and consult with qualified professionals such as licensed financial advisors, brokers, or legal experts before making any investment decisions. Users assume all risks associated with their use of the AiDF platform, including but not limited to financial losses, legal obligations, or other adverse consequences.

5. Limitation of Liability
AiDF, its founders, employees, and affiliates expressly disclaim any and all liability for any direct, indirect, incidental, consequential, or special losses or damages arising out of or related to the use or inability to use our platform or reliance on any information or predictions provided by AiDF. This includes, but is not limited to, losses related to investment decisions, trading losses, business interruptions, loss of profits, or any other damages, whether financial or otherwise.

6. No Guarantees of Accuracy or Performance
While AiDF uses state-of-the-art data processing tools and predictive algorithms, the platform does not guarantee the accuracy, reliability, or performance of any forecasts, predictions, or other information. Users are reminded that all market forecasts are inherently uncertain, and AiDF cannot be held liable for discrepancies between forecasted and actual market outcomes.

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AiDF may provide access to third-party services, platforms, or data sources to enhance the user experience. AiDF makes no representations or warranties regarding the content, accuracy, or reliability of third-party information and disclaims any responsibility for losses or damages that may arise from the use of such services or data.

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The services provided by AiDF are subject to the laws and regulations of the jurisdictions in which they operate. Users are responsible for ensuring that their use of AiDF complies with all applicable local, national, and international laws. AiDF disclaims any responsibility for violations of such laws by users.

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By using the AiDF platform, users acknowledge that they have read, understood, and agree to be bound by the terms of this disclaimer. If you do not agree with any part of this disclaimer, you should refrain from using AiDF’s services.

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