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YYForce Launches Yolara AI Workforce Intelligence Platform in Singapore

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Platform brings conversational AI and intelligent matching to frontline workforce operations
 

SINGAPORE, Oct. 15, 2026 /PRNewswire/ — YYForce Inc. (NASDAQ: YFOR) (“YYForce” or the “Company”), a technology-enabled provider of workforce solutions and integrated facility management services, today announced the commercial launch of Yolara AI, an AI-powered workforce intelligence platform that combines algorithmic matching, automated staffing workflows, digital attendance, and operational analytics for frontline enterprises.

The core platform is available in Singapore through web and mobile interfaces. YYForce is introducing a conversational AI voice agent through phased deployments with selected enterprise clients, extending the platform with natural-language staffing requests and AI-assisted workflow initiation.

Yolara AI is being introduced through YYForce’s existing regional operating network, which includes more than 100,000 verified frontline workers and over 500 enterprise partner locations. These figures describe the Company’s existing network and do not represent the number of active Yolara AI users or locations at launch.

AI Powered Workforce Orchestration

Yolara AI is designed to help businesses coordinate flexible staffing across hospitality, food and beverage, retail, logistics, events, and facilities management. Its workforce orchestration workflow connects enterprise demand with worker skills and availability, using AI-assisted matching to support staffing decisions and digital tools to track shift execution.

By bringing these activities into one platform, YYForce aims to reduce repetitive administration and improve coordination between businesses and workers. Actual staffing outcomes depend on worker availability, qualification requirements, and operating conditions.

Core Capabilities Available at Launch

AI-powered multi-factor matching: Evaluates worker suitability using skills, availability, location, credentials, and previous shift records to support candidate matching for enterprise requirements.Conversational worker onboarding: Uses conversational interfaces to support worker information collection, availability confirmation, and communication of shift requirements.Automated scheduling workflows: Connects staffing requirements with eligible shift booking, helping businesses coordinate coverage and workers access suitable opportunities.Digital attendance and tracking: Uses geofenced check-in and check-out to capture shift attendance data for monitoring and reconciliation.Talent Graph and workforce intelligence dashboards: Structures worker profiles, qualifications, and shift histories into a searchable talent information base, with dashboards showing staffing coverage, attendance, and workforce cost metrics.

Phased Deployment of the AI Voice Agent

YYForce is deploying Yolara AI’s conversational voice agent in phases with selected enterprise clients in Singapore. The agent is designed to use natural-language processing (NLP), intent recognition, and information extraction to convert spoken staffing requirements into structured digital requests.

For example, a manager could request: “I need five banquet service crew members tomorrow from 6 p.m. to 11 p.m. at Marina Bay.” The agent is designed to extract headcount, role, location, and shift times, request clarification where information is missing, and prepare the request for the platform’s matching workflow.

The phased deployment is intended to assess usability and operational performance before broader rollout. Voice-agent availability will therefore differ from that of the core platform during the initial launch period.

Connecting AI With Real World Workforce Operations

Yolara AI supports YYForce’s strategy of combining workforce operations with applied AI and digital workflow automation. Its existing worker and enterprise relationships provide a base for introducing the platform, gathering operational feedback, and identifying opportunities for future AI model development.

“Frontline staffing has historically suffered from manual friction, fragmented shift communication, and slow fulfillment cycles. With Yolara AI, we are translating applied artificial intelligence into immediate operational leverage—turning spoken manager requests into fulfilled shifts in minutes. This launch marks a foundational milestone in YYForce’s strategy to build a unified, intelligent workforce ecosystem across the region,” said Mike Fu, Chief Executive Officer of YYForce.

AI Development and Regional Expansion Roadmap

YYForce plans to evaluate expansion into additional Southeast Asian markets based on customer demand, operational readiness, and local requirements. Planned AI enhancements include machine-learning-based demand forecasting, predictive workforce analytics, and agentic workflows connecting conversational requests with enterprise systems. These capabilities form part of the development roadmap and are separate from the core functions available at launch.

About Yolara AI

Yolara AI is YYForce’s AI-powered workforce intelligence platform for frontline operations. Its core functions combine multi-factor matching, conversational onboarding, automated scheduling workflows, digital attendance, Talent Graph information, and operational analytics. A conversational AI voice agent for natural-language staffing requests is being introduced through phased enterprise deployments.

About YYFORCE

YYForce Inc. (Nasdaq: YFOR) is an AI-enabled workforce management and integrated facility management provider headquartered in Singapore and operating across Asia and beyond. Through its workforce technology and IFM businesses, YYForce provides workforce deployment, management and facility services solutions across multiple service industries.

The Company operates two distinct workforce technology platforms: YY Circle, which supports workforce deployment and management across hospitality, food and beverage, retail and other service industries; and Yolara AI, an AI-powered workforce intelligence platform that provides intelligent workforce matching, automated scheduling, digital attendance and operational analytics for frontline enterprises. Within its IFM operations, YYForce combines frontline facility services with technology solutions designed to improve workforce productivity and operational efficiency.

YYForce’s long-term strategy is centered on building an integrated future workforce ecosystem in which human workers, intelligent software, automation and robotics increasingly work together to deliver services more efficiently.

Forward Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. The Company bases these forward-looking statements on its expectations and projections about future events, which the Company derives from the information currently available to it. You can identify forward-looking statements by those that are not historical in nature, particularly those that use terminology such as “may,” “should,” “expects,” “anticipates,” “contemplates,” “estimates,” “believes,” “plans,” “projected,” “predicts,” “potential,” or “hopes” or the negative of these or similar terms. Statements regarding expected performance, adoption and benefits of the Yolara AI platform; the phased deployment and any broader rollout of the conversational AI voice agent; planned AI enhancements, including machine-learning-based demand forecasting, predictive workforce analytics and agentic workflows; potential expansion into additional Southeast Asian markets are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties, and the forward-looking events discussed in this press release may not occur, and actual events and results may differ materially and are subject to risks, uncertainties, and assumptions about the Company and a number of factors. These factors include, but are not limited to, the Company’s goals and strategies; the Company’s future business development, financial condition and results of operations, including the introduction of new products and services, the performance, accuracy and reliability of the Company’s AI models and voice agent; the Company’s ability to successfully complete the phased deployment and achieve client adoption of Yolara AI; the Company’s reliance on third-party technology providers; data privacy, cybersecurity and AI-related laws and regulations, including those governing location and voice data; expected changes in the Company’s revenues, costs and expenditures, anticipated customer growth, and demand for and market acceptance of the Company’s products and services; and industry, market and regulatory conditions, including competition, government policies and regulations affecting the Company’s industry, and other factors that may affect the Company’s financial condition, liquidity and results of operations. For a more detailed discussion of risk factors, please refer to the Company’s filings with the Securities and Exchange Commission, including the “Risk Factors” section of the Company’s most recent annual report on Form 20-F, as amended. Readers should also consider the risks described in the Company’s filings with the U.S. Securities and Exchange Commission. YYForce undertakes no obligation to update these statements except as required by applicable law.

Investor Contact
Jason Zhi Yong Phua, Chief Financial Officer
YYForce Inc.
enquiries@yyforce.ai 

Investor Relations Contact
Piacente Financial Communications
yfor@thepiacentegroup.com 

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SOURCE YYForce Inc.

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Growth Acceleration Partners Appoints Dwayne Stoltz as Vice President of AI to Drive Global Client Transformation

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AUSTIN, Texas, Oct. 15, 2026 /PRNewswire/ — Growth Acceleration Partners (GAP), a leading AI transformation company, today announced the appointment of Dwayne Stoltz as Vice President of AI. Stoltz will lead GAP’s global AI go-to-market strategy, unifying its strategic consulting and hands-on engineering practices to help clients modernize software and scale long-term AI capabilities.

The appointment underscores GAP’s positioning as a best-in-class AI transformation partner, combining high-level C-suite advisory with end-to-end technical execution across generative, agentic and custom AI technologies. GAP’s leaders understand the AI market has reached a critical turning point, where companies face immense challenges around legacy architecture, governance, scaling and ROI.

“Our clients don’t just need AI advice; they need an execution partner who can translate complex technology into sustainable business value,” said GAP’s CEO and Cofounder Joyce Durst. “Dwayne’s leadership allows us to bridge the gap between executive strategy and technical execution. Having a dedicated leader driving our AI practice ensures we can move faster, innovate smarter and equip our clients with the internal AI capabilities they need to maintain a competitive edge.”

Stoltz brings over three decades of operational, execution and technology leadership experience, with a proven track record of building enterprise AI practices, commercializing advanced consulting services and delivering high-impact executive advisory.

At the core of GAP’s strategy is a modernized delivery engine that pairs human engineering pods with autonomous engineers and proprietary AI-driven development tools. This hybrid methodology enables clients to accelerate product velocity, automate complex workflows, and modernize core software at unprecedented speed while upholding strict security standards.

“The AI landscape is moving from experimentation to execution, and companies need clear, reliable roadmaps that yield measurable outcomes,” Stoltz said. “By combining deep engineering discipline with strategic consulting, GAP is uniquely positioned to remove the friction from AI adoption. My goal is to build a market-leading practice that gives our clients both the custom solutions they need, along with the internal muscle to stay ahead. And my focus will be on delivering practical, scalable AI solutions today, while helping our clients build autonomous capabilities that power their growth tomorrow.”

In his role, Stoltz will oversee four primary strategic pillars:

AI Services Portfolio: Scaling enterprise-ready service offerings, from agentic AI workflows and autonomous software engineering tools, to generative models and emerging technologies.Executive Advisory: Delivering AI readiness assessments, strategic roadmaps and custom, hands-on acceleration workshops.Practice & Talent Leadership: Expanding GAP’s global technical bench strength to scale specialized AI delivery capabilities.Internal Innovation & Governance: Leveraging GAP’s own internal delivery efficiencies as client-facing proof points, while upholding rigorous AI governance standards.

“Since early 2024, we have taken intentional steps to lay the groundwork for our next phase of growth,” Durst added. “AI is central to how we operate internally and what we build for our clients. Dwayne brings the ideal combination of technical credibility and commercial vision needed to help C-suite executives navigate their AI journeys, build lasting internal capabilities and capture long-term value.”

Stoltz officially assumed his role on Oct. 1, 2026.

About Growth Acceleration Partners

Growth Acceleration Partners (GAP) is an AI transformation company that combines strategic consulting with hands-on engineering to help companies transform their products, processes and people. Our autonomous engineers modernize software, automate business operations and build intelligent products that deliver valuable, measurable outcomes and lasting business capability. Learn more at www.WeAreGAP.com.

Media Contact:

Jocelyn Sexton
VP of Marketing
512- 243-5754 

Email: 424818@email4pr.com 

View original content:https://www.prnewswire.com/news-releases/growth-acceleration-partners-appoints-dwayne-stoltz-as-vice-president-of-ai-to-drive-global-client-transformation-302909445.html

SOURCE Growth Acceleration Partners

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Intelligence Veteran Brings Real-Time Deception-Risk Alerts to Smart Glasses

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Coyote XR is available to select clients following its showcase at DEFSEC Atlantic 2026

VANCOUVER, BC, Oct. 15, 2026 /CNW/ — Prodigy Intelligence Inc. announced that Coyote XR is available to select clients paired with discreet XR glasses, bringing real-time deception-risk alerts into live conversations. The company showcased the technology at DEFSEC Atlantic in Halifax, October 6–8, 2026.

Founded by former Canadian military intelligence officer Matthew Kane, Prodigy develops communication-analysis tools already used by investigators and Canadian regulators. Coyote XR brings that technology into a wearable format, helping users identify statements that warrant follow-up while maintaining eye contact.

“We’re building a smoke alarm for deception,” said Kane, CEO and founder of Prodigy Intelligence. “Coyote XR draws your attention to something that deserves scrutiny and helps you decide where to look more closely.”

Coyote XR provides:

Discreet alerts: A gentle vibration draws the wearer’s attention to a statement that warrants closer examination.Heads-up analysis: The relevant statement and analysis appear in the glasses’ display during the conversation.Support for follow-up questions: Real-time indicators help users decide when to seek clarification or investigate further.

Potential applications include investigators probing inconsistent accounts, directors examining management presentations and legal professionals assessing prospective clients’ statements.

Coyote XR analyzes communication patterns associated with potential deception risk. An alert does not establish deception or intent; the system supports human judgment and independent verification.

Details of compatible smart glasses and supported features will be published shortly.

“Canada has a reputation for being polite,” said Kane. “But polite shouldn’t mean easy to fool.”

For more information, press materials or to request a demonstration, visit www.prodigyintel.com.

About Prodigy Intelligence Inc.

Prodigy Intelligence develops AI-assisted tools for analyzing human communication. Its Coyote platform examines text, audio and video for deception-risk indicators.

SOURCE Prodigy Intelligence Inc.

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Reshaping Network Value for New Growth in the AI Era

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VIENNA, Oct. 15, 2026 /PRNewswire/ — During Network X 2026, the World Broadband Association (WBBA) hosted the Broadband Development Congress (BDC) in Vienna. At the congress, Bob Chen, President of Huawei Optical Business Product Line, delivered a keynote speech titled “Reshaping Network Value for New Growth in the AI Era.” He emphasized the necessity of shifting network construction concepts in the AI era based on three “R”s—Rebuilding network architecture, Reshaping business model, and Redefining network O&M—to reshape network value and achieve new growth.

Bob Chen mentioned that, looking back over the past three decades, every boom in services—from voice and the Internet to video—has relied on network support. Today, AI is developing at a rapid pace. Large AI models now feature nearly 10 trillion parameters, and token consumption has surged nearly 50-fold over the past year. In the AI era, the objects, frequency, and quality of network connections have all undergone dramatic shifts. The entire industry must rethink how to reshape network value.

Chen pointed out that the most crucial element in reshaping network value is shifting network construction philosophy: network planning and building must center around AI service demands and AIDC layouts, while AI technology should be adopted to elevate O&M capabilities. This can be summarized into three “R”s. Rebuild network architecture: transitioning from traditional administrative region-centered networks to AIDC-centered networks. Reshape business model: for enterprise, upgrading from selling bandwidth alone to selling “bandwidth + latency + reliability”, along with integrated computing-network services; and for home broadband: evolving from providing pure broadband connectivity to whole-home networking, and ultimately smart home experiences. Redefine network O&M: evolving from traditional semi-automated operations toward full-lifecycle intelligence.

Rebuild Network Architecture

In the past, networks were structured around administrative regions, divided into national backbone, provincial backbone, and metro networks. With the rise of AI, the number of AIDCs has grown nearly 10-fold, and traffic volume is no longer determined by population, but by computing power.

Take Zhongwei, China as an example: in the past, its traffic accounted for only about 0.1% of China’s total. Today, Zhongwei has become one of China’s eight national computing hubs, with its intelligent computing traffic accounting for over 10% of the country’s total bandwidth, making it a core node in the AIDC interconnect network. Similar cases are taking place worldwide.

Therefore, network architecture must shift from being administrative region-centered to AIDC-centered. Networks should be organized into hierarchical layers around Core DCs, Regional DCs, and Edge DCs. Direct one-hop mesh connections between DCs enable deterministic 1-5-20 ms latency circles and rapid time-to-market.

Reshape Business Model

For enterprise segment, as AI accelerates, enterprise production models are transforming. For instance, an AI industrial design firm in China uses AI rendering to drastically shorten production cycles, and real-time AI rendering demands latency below 2 milliseconds. To capitalize on such opportunities, operators can upgrade private lines from a single dimension of bandwidth to multi-dimensional offerings: “Bandwidth + Latency + Reliability.” Powered by OXC, ASON, and Quantum Encryption, networks can deliver deterministic latency, high reliability, and top security, significantly boosting private line value. Furthermore, leveraging computing platforms, operators can evolve from selling networks to selling “Network + Computing + Model/Application”, delivering integrated computing-network services.

For home broadband segment, operators can upgrade from providing basic broadband connections to the “One Fiber, One Network, One Home” strategy: One Network refers to delivering high-quality whole-home Wi-Fi with FTTR or Wi-Fi Mesh. One Home means providing rich smart applications powered by home AI terminals and AI agents. In addition, home AI agents are reshaping home broadband interaction models—allowing users to interact in real time, and control home networks through simple voice commands.

Redefine Network O&M

In the AI era, end-to-end intelligence across planning, construction, maintenance, optimization, and operation must be realized through network element intelligence, network intelligence, and service intelligence. For example, most home network complaints stem from Wi-Fi issues. Today, AI Wi-Fi tuning automatically identifies interference sources and types, making real-time adjustments to transmit power and other parameters—boosting Wi-Fi speeds by approximately 20% in interference environments.

Second, for AI energy saving, previously, network equipment ran at full capacity regardless of traffic levels, consuming unnecessary substantial power. Now, intelligent traffic analysis enables smart dynamic power adjustments for OLT chassis and line cards, reducing total device energy consumption by over 20%.

Last, for intelligent fault self-healing, home broadband troubleshooting is categorized into three tiers. Self-Healing: Air-interface issues like roaming failures are automatically fixed by O&M AI agents. Remote O&M: Configuration parameter issues are processed remotely at the NOC with AI agent assistance. On-Site Visits: Physical fiber connection issues are precisely localized with O&M Copilot assistance.

“Facing the AI era, we must shift our philosophy to Rebuild network architecture, Reshape business model, and Redefine network O&M,” Bob Chen concluded. “Through these three ‘R’s, we can reshape UBB network value and jointly move towards new growth in the AI era!”

SOURCE Huawei

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