(3993) Stock Price

PKSHA Technology provides software and solutions that support business process automation and advanced customer service for enterprises, centered on proprietary algorithm modules developed in-house. Its main product lineup combines chatbots and voice-based automated response engines, FAQ systems, and AI capabilities such as image analysis, recommendation, and predictive analytics.

The company serves a diverse range of industries including financial services, distribution and retail, manufacturing, and call centers, with enterprise and industry-leading customers as its core base. It also conducts joint research and development with partners. Revenue is generated through two streams: initial implementation fees and subsequent monthly license fees. The company operates on a SaaS-based recurring revenue model, with growing subscription revenue over time.

The company divides its business into two segments: AI Research & Solution, which provides customized development embedded in customer software and hardware, and AI SaaS, which offers general-purpose AI software directly. Key products include PKSHA ChatAgent, PKSHA VoiceAgent, PKSHA FAQ, as well as RPA and AI meeting minutes tool "Yomel." The company's strengths include improved accuracy through usage data and high customer retention rates.

Under its mission to "bring future software to life," the company operates two core business pillars: AI Research & Solution and AI SaaS. It aims to stabilize revenue by increasing subscription-based monthly license income and raising the proportion of recurring revenue. The company is strengthening its revenue model through initial fees and continuous billing, positioning the retention of existing customers and maintenance of high profit margins as key priorities, while reinforcing its development and sales capabilities accordingly.

Priority investment areas focus on proprietary algorithm modules, including PKSHA ChatAgent, PKSHA VoiceAgent, PKSHA FAQ, the meeting minutes tool "Yomel," and RPA integration. The company differentiates itself by combining natural language processing, voice recognition, image analysis, and recommendation and prediction features. It enhances customer retention and competitive advantage by feeding continuous product usage data back into its learning systems to improve accuracy, and by strengthening customized development embedded in customer systems and infrastructure.

For new market development and business expansion, the company plans to extend product applications beyond existing industries such as finance, distribution, retail, manufacturing, and call centers into sectors where business automation and advanced customer engagement are accelerating. Concrete strategies include aggressive hiring of sales personnel, knowledge sharing across group companies, and joint research and development with partners. The company aims to expand its customer base by promoting SaaS adoption and increasing customization project orders.

Technology innovation efforts proceed on both research and development investment and real-world implementation fronts, with continuous algorithm improvements reflecting the evolution of deep learning and large language models since 2012. The company simultaneously strengthens system stability through internal training and education, enhanced information management protocols, and server expansion, aiming to improve product accuracy and operational reliability while safely leveraging customer data.