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Cyberjaya Psychometrics Firm Validates Behavioural Science Models for Financial Growth

Global PsyTech is scaling its predictive modelling capabilities as it prepares for a new funding round by early 2027.

Cyberjaya-based Global PsyTech Sdn Bhd has reached a pivotal growth phase as it prepares to initiate a new funding round by early 2027, marking a shift from long-term research to commercial scaling. Founded by Dr. Haniza Yon, the company has spent years developing psychometric models designed to assess human behaviour across the critical sectors of finance, talent management, and professional assessment.

The company’s recent trajectory follows extensive proof-of-concept projects involving more than 20 financial institutions. By back-testing its proprietary models against data from thousands of individual borrowers, the firm has sought to demonstrate that behavioural science can offer a reliable alternative to traditional financial metrics. According to the original publisher, these efforts have yielded significant results, with some financial implementations showing a reduction in non-performing loans by more than 50%.

At the core of Global PsyTech’s methodology is the science of psychometrics, which quantifies intangible attributes such as personality, motivation, cognitive ability, and behavioural tendencies. Dr. Yon has maintained that while human behaviour is intrinsically shaped by variables such as culture, language, social norms, and local environments, the underlying scientific validity of these assessments must remain robust and consistent, regardless of the target demographic.

The upcoming funding round scheduled for 2027 is intended to solidify the firm’s position as a provider of world-class behavioural analytics originating from Malaysia. By proving the efficacy of its models within the local banking landscape, the firm aims to transition its business model from a research-heavy pilot phase toward broader market adoption across Southeast Asia.

For the average Malaysian consumer, this technology could fundamentally alter the process of credit access. If banks adopt these behavioural models, individuals who lack traditional credit histories—such as young professionals or those in the gig economy—may find it easier to secure loans based on behavioural indicators rather than stagnant historical financial data. This shift could theoretically broaden financial inclusion, providing more equitable access to credit for those who are currently excluded by conventional scoring systems.

For local SMEs and HR departments, the application of this science offers a tool to move beyond traditional resume-based hiring. By leveraging psychometric data to match talent to roles based on inherent behavioural tendencies, Malaysian businesses could potentially improve employee retention and performance. This is particularly relevant given that the nation’s unemployment rate stood at 3.0% as of May 2026, with over 513,000 individuals still seeking opportunities; better matching technologies could help streamline this labour market fluidity.

The company’s growth occurs against a backdrop of steady national economic performance, with real GDP growth recorded at 6.0% year-on-year in the latest quarter. As Malaysia navigates a changing economic climate, including headline inflation of 1.8% as of July 2026 and shifting subsidy landscapes for essential goods like fuel, the demand for precision in financial and human capital decision-making is likely to increase. Global PsyTech’s reliance on data-driven behavioural insights reflects a broader trend of Malaysian tech firms moving toward deeper, science-backed solutions.

What remains to be seen is how Global PsyTech will scale its infrastructure to meet the demands of international markets while maintaining the cultural nuance required for its models to remain accurate. While the company has confirmed its intent for a 2027 funding round, the specific valuation targets and the identities of potential strategic investors remain undisclosed.

Source

Originally reported by Digital News Asia. Read the original report →

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