Dr. Benjamin Harvey has experience in data science and artificial intelligence, with a background in academia, government and private sectors. As CEO and founder of AI Square, he oversees a team dedicated to integrating AI and machine learning into web-based applications.
AI Squared aims to support AI adoption by integrating AI-generated insights into mission-critical business applications and daily workflows.
What prompted you to find AI squares, and what is your goal to solve?
In the context of NSA, I have witnessed first-hand that nearly 90% of AI models have never been produced, and I have built AI squares to address the critical gap between AI development and real-world deployment. Many AI solutions remain siloed in the research environment and fail to integrate into the operational workflow, greatly limiting their potential impact. AI Squared simplifies this process by providing an intuitive platform that allows businesses to seamlessly embed AI into their existing applications without the need for a large amount of engineering resources. By closing this gap, we enable organizations to unlock the full potential of AI, thereby increasing decision-making and operational efficiency across the industry.
What is the biggest challenge in launching AI squared? How has the company grown since 2021?
The biggest challenge in launching AI squared is developing a solution that simplifies AI adoption while maintaining the flexibility required for enterprise-scale applications. Organizations often strive to integrate AI into their workflows due to technical complexity, resource constraints, and infrastructure constraints. In my experience, in government and private sector-led AI programs, I ensure that AI squares expand the industry and integrate cutting-edge AI research into our platform to address these challenges by enhancing codeless/low code solutions. Today, AI Squared provides enterprises with an accessible and scalable way to effectively deploy AI, changing how organizations can leverage AI to achieve operational success.
How does your academic and research background shape the task of AI squared?
My research at institutions such as Johns Hopkins and the National Security Agency (NSA) is dedicated to applying AI to complex issues in cybersecurity, data analysis, and decision intelligence. This experience makes me deeply grateful for the power and challenges of AI implementation. At AI Squared, our mission is to bridge the gap between AI research and real-world applications to ensure that businesses can benefit from the latest AI advancements without in-depth technical expertise. By leveraging my background in academia and government AI research, we focus on making AI more accessible, practical and responsible, helping organizations drive meaningful change with AI-Driven Insiven Insights.
Why take AI insight into critical business applications?
Many AI projects fail because they remain quarantined in a dashboard or analytics platform and require manual explanation before taking action. This delays decision making and reduces the overall impact of AI initiatives. AI Squared embeds AI insights directly into business applications to ensure employees can take action on real-time insights without leaving workflows. Whether optimizing customer interaction, improving supply chain operations, or enhancing network security metrics, embedding AI into business applications can maximize efficiency, improve user adoption and significantly improve return on investment (ROI).
How to deploy AI square streamlined AI?
Deploying AI models into production environments often requires extensive engineering, integration, and infrastructure development, which can be time-consuming and expensive. AI square eliminates these bottlenecks by providing a code-free/low-code platform that allows enterprises to seamlessly deploy AI in AI. Our platform enables business users to leverage AI-driven insights without having to write complex code or manage infrastructure. By simplifying deployment and reducing technical barriers, AI squares accelerate time value, allowing businesses to quickly realize the benefits of AI without unnecessary latency.
Why is no code/low code integration essential?
Codeless/low code integration is essential for large-scale adoption of AI, as it democratizes access to AI, so that field experts and business leaders do not require dedicated AI engineers to implement AI. The shortage of AI experts often slows down implementation and innovation, thus relying on technical teams. AI squares reduce this dependency by providing an intuitive platform that allows non-technical users to effectively integrate and utilize AI models. This accelerates AI adoption across industries, makes AI more accessible and ensures organizations can leverage AI to drive better business outcomes without unnecessary technical barriers.
How do AI squared data applications convert AI deployment?
Data applications are a key innovation within AI squared, providing a lightweight and flexible way to integrate AI Insight directly into business applications. Many organizations are working on AI deployment because their models require extensive integration with existing software systems. Data applications can easily add this challenge by using AI-driven insights as modular components. My experience with NSA enhances the importance of making AI insights accessible and feasible, which is why AI Squared’s data applications are designed to provide real-time, textual intelligence that enhances decision-making across the industry without extensive retraining or infrastructure changes.
How to ensure that AI models remain valid?
AI models need continuous monitoring and optimization to maintain their accuracy and effectiveness in dynamic environments. AI Square provides real-time monitoring, feedback loops and performance tracking to help businesses fine-tune their AI applications over time. Our platform allows organizations to track model performance, detect drifts and implement automatic feedback mechanisms that improve AI accuracy based on real-world data. This ensures that AI models remain reliable and continues to provide high-value insights, prevent degradation and ensures sustainable AI-driven success in enterprises.
How does AI squared reverse ETL improve AI-driven decision-making?
Reverse ETL is a game-changer for AI adoption because it ensures that AI-generated insights are not trapped in data warehouses or dashboards, but are actively pushed into operational systems that can drive real-time decisions. AI-squared reverse ETL solution integrates AI insights directly into frontline applications, eliminating data silos and enabling businesses to act intelligently without switching between tools. For example, AI-powered customer insights can be embedded in CRM systems to provide real-time advice to sales teams. By operating AI in reverse ETL, AI square ensures that enterprises can fully leverage the value of AI-driven intelligence.
How does AI square ensure responsible AI deployment?
Ensuring ethical and responsible AI deployment is the top priority of AI squared. As AI becomes more common, concerns about bias, transparency, and explanatory must be addressed to maintain trust in AI-driven decisions. AI squares combine advanced bias detection, interpretive tools, and governance frameworks to ensure that AI models produce fair and interpretable results. Our platform provides transparency in the AI decision-making process and helps businesses adhere to ethical norms and regulatory requirements. By prioritizing responsible AI deployments, we help organizations build trust in AI solutions while mitigating risks associated with biased or opaque algorithms.
What is the next step in AI squared?
AI Squared focuses on extending its platform with enhanced automation, deeper monitoring capabilities and more seamless enterprise integration. As enterprises continue to embrace AI at a large scale, we are committed to making AI adoption more frictionless and impactful. Our roadmap includes advances in AI-driven automation, improved monitoring tools to track AI performance, and a wider range of integration capabilities to support a wide range of business applications. By staying at the forefront of AI innovation, AI Squared will continue to empower organizations with state-of-the-art solutions to increase efficiency, intelligence and business growth.
Thank you for your excellent interview, and readers who hope to learn more should visit AI squares.
