Singapore, October 15th / PRNewswire / -- YYForce Inc. (Nasdaq ticker: YFOR) ("YYForce" or "the Company") today announced the commercial launch of Yolara AI, an intelligent labor platform driven by AI, which integrates algorithmic matching, automated employment processes, digital attendance, and operational analytics for frontline businesses.
The core functions of this platform are now available in Singapore through web and mobile interfaces. YYForce is being deployed in phases to introduce conversational AI voice agents to some corporate clients, adding natural language-based job request processing and AI assisted process initiation features to the platform.
Yolara AI is launched through YYForce's existing regional operation network, which includes over 100,000 verified frontline workers and more than 500 corporate collaboration locations. The company states that these numbers represent its current network and do not indicate the number of active users or locations at the time of Yolara AI's launch.
Labor force orchestration driven by AI
Yolara AI is designed to help enterprises coordinate flexible employment in areas such as hotels, catering, retail, logistics, events, and facility management. Its labor scheduling process connects enterprise needs with workers' skills and availability times, utilizes AI to assist in matching and supporting employment decisions, and tracks the execution of shifts through digital tools.
YYForce indicates that by integrating these activities into one platform, the company hopes to reduce repetitive administrative work and improve coordination between businesses and workers. The actual employment results depend on worker availability, qualification requirements, and operational conditions.
Core features provided at launch
- AI Multi-factor matching: Assesses the suitability of workers based on skills, availability, location, qualifications, and past shift records to match candidates that meet corporate requirements.
- Interactive Worker Onboarding: Supports collecting worker information, confirming available times, and conveying shift requirements through a conversational interface.
- Automated Scheduling Process: Links labor demand with eligible shift reservations, helping enterprises coordinate coverage rates and also assisting workers in obtaining suitable opportunities.
- Digital Attendance and Tracking: Using geofencing for sign-in and sign-out to collect shift attendance data for monitoring and reconciliation purposes.
- Talent Map and Labor Intelligence Dashboard: Structures workers' profiles, qualifications, and shift histories into a searchable talent information database, and displays indicators such as employment coverage, attendance, and labor costs through a dashboard.
AI Phased Deployment of Voice Agents
YYForce is currently deploying the conversational voice agent Yolara AI in phases with some corporate clients in Singapore. This agent is designed to utilize natural language processing ( NLP ), intent recognition, and information extraction to convert oral labor requirements into structured digital requests.
For example, a manager might request, "I need 5 banquet service staff at Bayshore from 6 PM to 11 PM tomorrow." The agent will extract the number of people, positions, location, and shift times, request clarifications when information is missing, and prepare the requests for the platform's matching process.
Phased deployment is aimed at evaluating availability and operational performance before a broader rollout. Therefore, during the initial launch period, the range of availability for voice agents will differ from that of the core platform.
Connect AI with the operation of the real-world labor force
Yolara AI supports the strategy of YYForce to combine labor operations with application-oriented AI and digital workflow automation. The company's existing relationships with workers and enterprises provide a foundation for introducing this platform, collecting operational feedback, and identifying future opportunities for AI model development.
YYForce CEO Mike Fu stated: "Frontline labor has long been plagued by manual friction, fragmented shift communication, and slow fulfillment cycles. With the help of Yolara AI, we are transforming applied artificial intelligence into an immediate operational lever – turning managers' verbal requests into completed shifts within minutes. This release marks a fundamental milestone in YYForce's strategy to build a unified, intelligent labor ecosystem in the region."
AI Development and Regional Expansion Roadmap
YYForce plans to expand into more Southeast Asian markets based on customer needs, operational readiness, and local requirements. The planned enhancements for AI include machine learning-based demand forecasting, predictive labor analysis, and agent-based workflows that connect conversational requests with enterprise systems. These capabilities are part of the development roadmap and are separate from the core functions available upon launch.
About Yolara AI
Yolara AI is an intelligent labor force management platform developed by YYForce for frontline operations. Its core functions incorporate multi-factor matching, conversational onboarding processes, automated scheduling, digital attendance tracking, talent profiling information, and operational analysis. The conversational AI voice agent, designed to handle natural language requests for employment, is being rolled out in phases across enterprises.
About YYFORCE
YYForce Inc. (Nasdaq: YFOR) is a labor management and comprehensive facilities management services provider empowered by AI, with its headquarters located in Singapore. Its business spans across Asia and other regions. Through its labor technology and IFM services, YYForce provides labor dispatch, management, and facilities service solutions for multiple service industries.
The company operates two independent labor technology platforms: YY Circle, which supports labor dispatch and management for industries such as hospitality, catering, retail, and other services; and Yolara AI, which is an intelligent labor platform driven by AI, providing intelligent labor matching, automatic scheduling, digital attendance, and operational analysis for frontline enterprises. In the IFM business, YYForce combines frontline facility services with technical solutions aimed at improving labor productivity and operational efficiency.
The long-term strategy of YYForce focuses on building an integrated future workforce ecosystem, in which human workers, intelligent software, automation, and robots collaborate increasingly to provide services more efficiently.
Forward-looking Statements
This press release contains forward-looking statements as defined by Section 27A of the Securities Act of 1933 (as amended) and Section 21E of the Securities Exchange Act of 1934 (as amended). The company makes these forward-looking statements based on information currently available to it regarding its expectations and forecasts for future events. Forward-looking statements can be identified by their non-historical nature, particularly those that use phrases such as “may”, “should”, “expects”, “anticipates”, “contemplates”, “estimates”, “believes”, “plans”, “projected”, “predicts”, “potential”, “hopes”, and their negative forms, as well as similar expressions. Statements regarding the expected performance, adoption, and revenue of the Yolara AI platform; the phased deployment of the conversational AI voice agent and any broader promotion thereof; planned enhancements to AI, including machine learning-based demand forecasting, predictive labor analysis, and agent-based workflows; and potential plans to expand into more Southeast Asian markets are all forward-looking statements. Forward-looking statements involve inherent risks and uncertainties, and the forward-looking events discussed in this press release may not occur. Actual events and results may differ significantly from those anticipated, and are subject to risks, uncertainties, and assumptions related to the company and various factors.These factors include, but are not limited to: the company's objectives and strategies; the company's future business development, financial condition, and operating results, including the launch of new products and services, the performance, accuracy, and reliability of the company's AI model and voice agents; the company's ability to successfully complete phased deployments and achieve customer adoption of Yolara AI; the company's dependence on third-party technology providers; data privacy, network security, and laws and regulations related to AI, including those concerning location and voice data; expected changes in the company's revenue, costs, and expenditures, expected customer growth, as well as demand for and market acceptance of the company's products and services; and the industry, market, and regulatory environment, including competition, government policies and regulations that affect the company's industry, as well as other factors that may impact the company's financial condition, liquidity, and operating results. For more detailed risk factors, please refer to the documents submitted by the company to the U.S. Securities and Exchange Commission, including the "Risk Factors" section of the company's most recent 20-F annual report (as revised). Readers should also consider the risks described in the documents submitted by the company to the U.S. Securities and Exchange Commission. Except as required by applicable law, YYForce assumes no obligation to update these statements.
Investor Contact
Jason Zhi Yong Phua, Chief Financial Officer
YYForce Inc.[ email protected ]Investor Relations Contact
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