InsightGenie: Unveiling the Future of Smart Decisions with AI Magic

InsightGenie is a Singapore-based B2B technology company specializing in AI-driven behavior prediction for financial institutions and HR professionals—though its addressable market continues to expand. The company analyzes voice, video, and social data using AI and cutting-edge behavioral science to assess creditworthiness, hiring potential, and behavioral risk. Banks use InsightGenie’s platform to identify and serve unbanked and underbanked populations and improve loan repayment forecasting. HR teams, on the other hand, leverage its psychometric profiling tools for more accurate talent assessments and employee retention strategies—delivering insights that go far beyond the CV.

With that, let’s dive deeper into InsightGenie’s mission and innovation with its Chief Business Development Officer, Vincent Choy.

What was the lightbulb moment that led to the creation of InsightGenie?

For me, the lightbulb moment for InsightGenie came while I was trying to set up a lending business in the Philippines, specifically working with a party list representing farmers and the agricultural sector. One major challenge we faced was credit risk assessment—most farmers were unbanked, and traditional credit bureau checks often returned ‘no information found.’ This made it nearly impossible to evaluate risk and provide financial support. I met my co-founder, Hayk, at a conference in Manila, where we debated the possibility of using behavioral science and analytics for credit assessments. That conversation sparked the research and development that eventually led to InsightGenie.

Since then, we’ve expanded far beyond credit risk assessment. Our profiling tools now support hiring, health assessments, insurance risk evaluations, and any industry that requires a deeper understanding of individuals. We focus on providing businesses with smarter, data-driven insights through behavioral analytics, allowing for a more holistic and modern approach to profiling compared to traditional methods.

In a world full of AI-driven analytics, what makes InsightGenie stand out? 

I think what makes InsightGenie stand out is how we apply AI to real-world problems using a multi-modal approach to data. Unlike other companies that rely on a single data source—such as financial transactions or telco data—we don’t limit ourselves to one silo. The issue with traditional methods is that if the specific data type isn’t available, the result is simply “no information found,” which has led to the exclusion of over 2.4 billion people from financial and risk assessments. In a world that’s supposed to be more interconnected and inclusive, that’s a massive gap that needs to be addressed.

Our approach is different because we leverage multiple data points, including observational data like voice and video, to assess individuals with a high degree of accuracy. This allows us to be more inclusive and bring in people who have historically been left out—whether in credit risk assessments or other profiling systems—simply because traditional data sources don’t capture them. By expanding the way data is utilized, we’re making AI-driven analytics more accessible and effective for a wider population.

The Genie Score™ is at the core of your platform—how does it decode human behavior and turn it into actionable insights?

The Genie Score™ utilizes a multi-modal approach to data, starting with the data organizations already have, but often don’t fully utilize. We analyze transactions and patterns to uncover meaningful insights, then expand our view by considering behavioral aspects of an individual’s life. Using voice analysis, we extract physiological biomarkers that reveal psychometric traits and psychological conditions, which influence behavior and decision-making. We also analyze publicly available online behavior—such as social media activity, e-commerce usage, and gaming patterns—to build a complete behavioral profile. By incorporating physiological and mental health data and micro-expression analysis through video analytics, we combine these diverse data points—psychology, health, online behavior, and traditional records—to create a comprehensive understanding of an individual, enabling us to offer tailored solutions and more accurate risk assessments, which was previously not possible.

For financial institutions, lending decisions rely on trust—how does InsightGenie redefine risk assessment in loan approvals?

At InsightGenie, we believe the current approach to trust in lending is flawed. Financial institutions rely on credit scores, which are based solely on spending history and financial transactions—meaning someone with significant savings but no debt may struggle to secure a loan, while someone deep in debt may find it easier. Trust shouldn’t be defined by how much you’ve spent, but by who you are as a person. We redefine risk assessment by focusing on psychological traits, online behavior, and personal integrity, ensuring that trust is based on human attributes like honesty and responsibility, not just spending habits. An honest person deserves an honest chance at finance.

How can HR leaders use InsightGenie’s behavioral insights to make smarter hiring and retention decisions?

Behavioral insights are key in hiring because they reveal how a candidate will perform in real-world situations, something a resume can't show. While resumes highlight past experiences, they don’t assess how a person handles stress, leadership roles, or sales. At InsightGenie, we go beyond credentials to assess behavioral traits, helping HR leaders make smarter hiring decisions based on a candidate's true potential, not just their past. This approach allows companies to identify individuals with the right skills, even if they haven’t held a specific job title, ensuring a better fit and stronger teams.

How will your recent Series A funding accelerate your mission, and what can we expect next from InsightGenie?

Our Series A funding is primarily focused on expansion. What we’re doing is new, and it requires a lot of market education—explaining how our approach is different and why it matters. That takes time, resources, and people on the ground to drive adoption. While the recent boom in generative AI has helped boost awareness of AI-driven solutions, our focus is on predictive AI, which requires deeper engagement with potential customers. To scale effectively, we need to invest in hiring, customer outreach, and building relationships to get our technology into the right hands.

As a three-year-old startup, our management team is still lean, and most of our early investment went into product development, research, and refining our science. Now, with this funding, we’re shifting our focus to market development and talent acquisition. We need to build a strong team that can support our growth and bring our solutions to industries that can benefit the most. Expect to see us expanding aggressively, securing more customers, and establishing InsightGenie as a key player in predictive AI.

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Vincent Choy is the Founder and Chief Business Development Officer of InsightGenie, where he drives the company's mission to revolutionize behavioral profiling using advanced AI. By focusing on behavioral traits rather than traditional metrics, he helps businesses make smarter decisions in hiring, lending, and retention. Vincent is committed to creating more inclusive and effective solutions that empower organizations to understand individuals beyond just their resumes or credit scores.

Visit www.techshake.asia if you would like to know and connect more with InsightGenie.