,

Yating Intelligence Debuts at ADI DEMO DAY, Showcasing “Four Core Healthcare Solutions” with Practical Implementation Becoming the Event’s Highlight

Validated across multiple benchmark hospitals in Taiwan! Pre-loaded with diverse workflows and a fully on-premises architecture to enable rapid smart healthcare deployment.

[Taipei] Guided by the Ministry of Digital Affairs (MODA), commissioned by the Administration for Digital Industries (ADI), and organized by the Digital Transformation Institute of the Institute for Information Industry (III DTI), the “2026 ADI DEMO DAY: Sovereign AI Empowerment — Building Trustworthy, Controllable Smart Healthcare AI” grandly took place on September 3 at the NTUH International Convention Center. Domestic AI pioneer Yating Intelligence was invited to exhibit alongside leading healthcare AI innovators—including Taiwan Health Network, Taiwan Medical Imaging, Ever Fortune.AI, Iris Technology, Mirage Launch, Jubo Health Technologies, and ebm Technologies—as well as major system integrators (SIs) including SecuFirst, SYSCOM Group, and InfiniCloud, comprehensively demonstrating critical breakthroughs in sovereign AI for smart healthcare.

National-Level Objective Benchmarks Back High-Trust AI Built for Taiwan’s Healthcare Settings

According to benchmark results recently released by the Ministry of Digital Affairs and the AI Evaluation Center (AIEC), Yating Intelligence’s flagship model, Yating-FedGPT, ranked first in Taiwan across key metrics evaluating Taiwanese values, local language nuances, and social comprehension. Bolstered by this policy momentum and objective technical certification, Yating Intelligence’s booth drew numerous hospital delegations eager to explore how this locally tuned AI technology can be securely and efficiently deployed on the clinical frontlines.

Targeting Healthcare Institutions’ Core Needs: Beyond Just “An AI”—Focusing on “Interpretability, Controllability, and Reliability”

At the event, Yating Intelligence highlighted that healthcare environments demand strict patient privacy standards and regulatory compliance. What hospitals truly require is not an opaque cloud-based black box, but highly transparent and controllable productivity tools. Yating-FedGPT delivers three core on-premises advantages:

  • 100% Data Ownership: Sensitive medical records and health data are processed strictly on-premise. By adhering to “no data to the cloud, zero leakage of sensitive assets,” cloud transmission risks are eliminated at the source.

  • Long-Term Cost Efficiency: Flexible perpetual licensing provides transparent, controllable deployment costs, removing the recurring overhead of usage-based subscriptions.

  • All-in-One On-Premises Integration: Delivers “one device, multiple uses” with pre-loaded, standardized workflows. Clinical departments and administrative units can rapidly activate specific capabilities, significantly lowering adoption barriers and engineering overhead.

Live Demos Across Four Core Scenarios: Standard Pre-loaded Workflows for Rapid, Effortless Deployment

Demonstrating practical execution from dialogue to automated tasks, Yating Intelligence showcased live operations of the Yating-FedGPT Smart Healthcare Platform across four core scenarios:

  • Smart Triage System: Uses natural language understanding to guide outpatient triage, accurately directing patients to the appropriate clinical department.

  • Smart ICD Coding: Leverages deep semantic analysis to cross-reference medical records and assist with precise ICD diagnostic coding recommendations, accelerating insurance claims.

  • AI Nursing Handoff Assistant: Consolidates complex care data and clinical notes with a single click to generate standardized handoff summaries, drastically reducing documentation burdens for frontline staff.

  • AI Smart Patient Education System: Automatically generates tailored, easy-to-understand educational materials based on individual patient conditions and clinical needs.

Beyond these four core scenarios, the platform ships on hardware pre-configured with multiple specialized clinical workflows, allowing hospitals to deploy rapidly out of the box without the heavy burden of training models or custom development from scratch.

Proven Deployments Across Benchmark Hospitals: Deepening Impact on the Clinical Frontline

Yating-FedGPT has been adopted and practically deployed in several benchmark medical institutions across Taiwan, including National Taiwan University Hospital, Hualien Tzu Chi Hospital, Cheng Hsin General Hospital, En Chu Kong Hospital, Armed Forces Medical Service hospitals (Taoyuan, Taichung, and Beitou Branch of Tri-Service General Hospital), Taipei Veterans General Hospital Yuanshan Branch, and Cheng Ching Hospital.

The platform provides tangible benefits across clinical, nursing, and administrative operations. It fully supports over ten specialized workflows, including medical image recognition, clinical reporting and recommendations, smart nursing handoffs, nursing documentation, admission summaries, patient education, ICD coding assistance, medical record summarization, meeting minute assistants, and medical literature and regulatory knowledge retrieval.

Joining Hands with Ecosystem Partners to Bridge the Last Mile of Smart Healthcare

Cheen Liao of Yating Intelligence stated that moving forward, the company will continue collaborating with hardware and system integration partners to package nationally evaluated model capabilities into rapidly deployable on-premises hardware-software integrated solutions, assisting Taiwan’s healthcare institutions at all levels in building dedicated, autonomous, and controllable local AI brains.

(Data sources: Ministry of Digital Affairs / AIEC Language Model Benchmark Data; 2026 ADI DEMO DAY Official Event Information)

/by
,

Ministry of Digital Affairs Unveils First Sovereign AI Evaluation Results! Yating Intelligence’s FedGPT Claims Triple Crown Among Taiwanese Models; 30B Lightweight, Fully On-Premise Architecture Pioneers a New Era for Enterprise Sovereign AI

[Taipei] Guided by the Ministry of Digital Affairs (moda), hosted by the Administration for Digital Industries (ADI), and jointly executed by the AI Evaluation Center (AIEC) and the Industrial Technology Research Institute (ITRI), the “Sovereign AI Evaluation × Trustworthy AI Action” results presentation officially took place today (2nd) at Taipei’s digiBlock C. The event brought together cross-ministerial representatives from the Ministry of Justice, the Ministry of Education, and the Financial Supervisory Commission to jointly declare their commitment to building a sound, trustworthy AI industry environment in Taiwan. In the first sovereign AI evaluation results released, leading domestic provider Yating Intelligence’s flagship model, “Yating FedGPT,” delivered an outstanding performance. It claimed a “triple crown” by achieving a perfect 100% score in “Taiwanese Values,” 86.20% in the “High School General Scholastic Ability Test (GSAT) Chinese Subject,” and 84.00% in the “High School GSAT Social Studies Subject,” setting a new benchmark for localized language models in Taiwan with empirical data.

Breaking the Mold with a Lightweight 30B Specification: Creating a Data-Secure, Cost-Controllable “Enterprise Sovereign AI” Facing the wave of generative AI adoption, highly regulated industries and the public sector generally encounter a core pain point: relying on massive international cloud-based models entails the risk of data leakage and loss of sovereignty, whereas opting for full in-house development comes with prohibitive computing and R&D costs.

Yating Intelligence proposed the “Enterprise Sovereign AI” solution. Instead of blindly stacking parameters to compete in general-purpose capabilities, Yating FedGPT adopted a 30B lightweight specification—less than one-tenth the size of mainstream international open-source models—to create a fully on-premise Agentic AI platform designed specifically for enterprise applications. This architecture ensures that “sensitive data remains within the enterprise and completely off the cloud,” eliminating concerns about data leakage at the source. It precisely meets the stringent information security and regulatory compliance requirements of finance, healthcare, the public sector, and advanced manufacturing industries, realizing the practical value of affordable, cost-controllable computing sovereignty.

Eight Years of Cultivating Local Semantic Understanding: “Taiwanese Consciousness” Deeply Rooted in R&D DNA Addressing the outstanding performance in this evaluation, Yating Intelligence Chairman Cheen Liao noted during the event that the results are a tremendous validation, but Yating Intelligence is “not surprised.” Liao recalled that since launching its speech recognition product “Yating Transcriber” in 2017, Yating Intelligence has journeyed through semantic understanding and federated learning, culminating in its current generative AI technology. Over the past eight years, the company has continuously deepened its understanding of Taiwan’s local social culture, legal systems, and industrial context.

Liao emphasized: “What enterprises truly need is not just a highly conversational cloud-based large model, but a fully controllable productivity tool capable of precisely solving problems. From day one, we chose ‘Yating,’ a name deeply representative of everyday Taiwanese people, and insisted on using the standard Taiwanese translation ‘智慧’ (intelligence) rather than the imported term ‘智能.’ Taiwanese consciousness has long been engraved in Yating Intelligence’s DNA.” The high scores in both the GSAT Chinese (86.20%) and Social Studies (84.00%) evaluations serve as concrete proof of the Yating FedGPT model’s high sensitivity to Taiwan’s historical context, social systems, and precise logical deduction.

National-Level Objective Evaluation Sets the Benchmark: Joining Hands with the Ecosystem to Accelerate the Last Mile of Implementation The national-level standards established by AIEC this time incorporated local knowledge, such as “Taiwanese Values” and the “High School GSAT,” into authoritative metrics, providing a fair and transparent third-party verification standard for AI market adoption. Liao stated that the AIEC evaluation completely shatters the past dilemma enterprises faced when selecting models, clearly proving to the market that Taiwan possesses a secure, trustworthy AI option that truly and profoundly understands local regulations and culture.

To accelerate the promotion of technological applications, Yating Intelligence announced it will further expand cooperation with industry ecosystem partners, packaging the model capabilities recognized by this national-level certification into “out-of-the-box” on-premise AI hardware-software integrated solutions. Yating Intelligence looks forward to moving forward hand in hand with industry, government, academia, and research sectors to realize the long-term vision of “keeping enterprise data within the enterprise and keeping Taiwan’s AI in our own hands,” jointly solidifying national-level technological sovereignty.

(Data source: Ministry of Digital Affairs / AIEC Evaluation Center – Language Model Benchmark Evaluation Data)

/by
,

Taiwan’s Leading On-Premises AI Model Arrives! Yating Intelligence FedGPT Sweeps National AI Benchmark with Record-Breaking “Triple Crown”

MODA AIEC Latest Evaluation Results: GSAT Chinese and Social Studies Both Exceed 84%. Yating Intelligence Unveils a 30B Fully On-Premise Architecture, Delivering the Most Taiwan-Savvy, Secure, and Appropriate Solution, Defining a New Benchmark for Enterprise-Grade “Sovereign AI” in Taiwan.

[Press Release] The “AI Evaluation Center (AIEC),” established by the Administration for Digital Industries of the Ministry of Digital Affairs (MODA) in collaboration with the National Institute of Cyber Security (NICS) and the Industrial Technology Research Institute (ITRI), recently released its latest language model benchmark evaluation results. Yating-FedGPT, a large language model developed by Taiwan’s AI pioneer Yating Intelligence, demonstrated phenomenal capabilities in this authoritative national-level evaluation. It achieved a perfect 100% accuracy score in “Taiwanese Values,” alongside outstanding scores of 86.20% in “GSAT Chinese” and 84.00% in “GSAT Social Studies,” setting a supreme new standard for localized AI model evaluations.

Perfect 100% Score Flawlessly Aligns with Taiwanese Values, Forging the Most Trusted “Taiwan Sovereign AI” As generative AI integrates deeply into enterprise operations and public sector workflows, whether a model aligns with local social values, legal frameworks, and cultural contexts has become a crucial factor for AI adoption. To establish a fair, objective AI evaluation mechanism that comprehends Taiwanese society, culture, and localized knowledge, the AIEC incorporated three key metrics: “Taiwanese Values,” “GSAT Chinese,” and “GSAT Social Studies.”

Yating-FedGPT scored 100.00% in the “Taiwanese Values” category, indicating its high conformity with mainstream Taiwanese social values and local contexts. Compared to some international general-purpose models that show significant score disparities in this same category, Yating-FedGPT exhibits a clear localization advantage, providing Taiwanese enterprises and government agencies with a more reliable generative AI option tailored to local needs.

GSAT Chinese and Social Studies Both Surpass 84%, Leading Taiwan in Deep Traditional Chinese Comprehension Beyond its flawless performance in Taiwanese Values, Yating-FedGPT also showcases incredible strength in language comprehension and cross-disciplinary comprehensive reasoning. It delivered remarkable results in the GSAT Chinese (86.20%) and Social Studies (84.00%) evaluations, proving its exceptional acuity regarding Traditional Chinese semantics, historical culture, social systems, and intricate logic.

Fully On-Premise Deployment Secures AI Sovereignty; 30B Lean Architecture Builds the Most Secure Enterprise-Grade Agentic AI Yating Intelligence highlighted that compared to mainstream international open-source models with massive parameters often reaching hundreds of billions, Yating-FedGPT utilizes a lightweight 30B specification—less than one-tenth of their size—yet outperforms many larger, general-purpose models in evaluations related to localization and Chinese comprehension. This represents a significant breakthrough by the R&D team in model architecture optimization and corpus training technologies.

As a fully on-premise Agentic AI platform designed exclusively for enterprises, Yating-FedGPT emphasizes that “data remains internal and does not go to the cloud.” This fundamentally eliminates concerns regarding the leakage of sensitive data, perfectly complying with the strict cybersecurity and regulatory requirements of highly regulated industries such as finance, healthcare, the public sector, and manufacturing. Through the smaller and more precise 30B model scale, enterprises can easily control AI data sovereignty within a privatized, on-premise environment—with minimal energy consumption and reasonable hardware thresholds—creating a proprietary and supremely secure enterprise brain.

Yating Intelligence: Empowering Seamless Enterprise Transformation with the “Most Taiwan-Savvy and Secure” AI Technology Cheen Liao, Chairman of Yating Intelligence, stated: “Achieving a ‘100% perfect score in Taiwanese Values’ and high scores in two GSAT subjects in the national-level AIEC evaluation is the highest recognition of Yating Intelligence’s long-term dedication to localized Taiwanese semantics and enterprise AI applications. The Yating-FedGPT platform is designed to address enterprise pain points regarding data privacy, regulatory compliance for sensitive information, and local contextual accuracy. Moving forward, Yating Intelligence will continue to build the ‘most Taiwan-savvy and secure’ fully on-premise AI technologies, assisting Taiwanese enterprises in achieving seamless transformation under the premise of zero risk to data security, and leading the new era of Sovereign AI.”

(Data Source: Ministry of Digital Affairs / AIEC Evaluation Center Language Model Benchmark Evaluation Data)

/by
,

Yating Intelligence Partners with Synnex Group’s BestCom Infotech to Launch Standardized On-Premises AI, Removing Enterprise Data-Security Barriers

August 4, 2026 — Enterprise adoption of generative AI is reaching a strategic turning point. As enterprises raise the bar on data security for sensitive information, on-premises AI deployment has moved from a nice-to-have to a baseline requirement. To resolve the high integration costs and operational complexity that have long weighed down traditional on-premises AI projects, Yating Intelligence announced today that it has signed a Memorandum of Understanding (MOU) with BestCom Infotech, the leading commercial IT distribution arm of the Synnex Group. Built around Yating’s proprietary FedGPT platform, the two companies will jointly deliver a pre-validated, standardized hardware-and-software on-premises AI solution designed to close the “last mile” of enterprise AI adoption.

Solving the Three Biggest Barriers to On-Premises Deployment: Security, Cost, and Maintenance

Enterprise appetite for generative AI remains strong, but public cloud services continue to raise concerns over data leakage, while traditional on-premises builds routinely stall on poor hardware-software compatibility, high customization costs, and a lack of ongoing operational support. The Yating Intelligence–BestCom Infotech partnership is aimed squarely at these pain points, pairing Yating Intelligence’s on-premises large language model (LLM) technology with BestCom Infotech’s deep channel and systems-integration expertise to deliver a pre-tuned, rapidly replicable standardized architecture.

Three Strategic Priorities: Scaling the Distribution Ecosystem and Sovereign AI Adoption

The MOU centers on three core initiatives:

  • Bringing Yating FedGPT onto BestCom’s AI Application Acceleration Platform, integrating it into the platform’s AI solutions ecosystem to give distributors and system integrators (SIs) across Taiwan an out-of-the-box, enterprise-grade AI product.
  • Launching a pre-integrated hardware-software standard architecture, offering flexible, pre-validated deployment packages scaled to enterprises of different sizes and significantly lowering the cost of initial evaluation and implementation.
  • Expanding channel enablement and market promotion, with both companies jointly funding technical training for distribution partners and go-to-market programs to help enterprises across Taiwan build secure, efficient “enterprise sovereign AI.”

Yating Intelligence: Enterprise AI Adoption Hinges on Enterprises Retaining Control

Cheen Liao, Chairman of Yating Intelligence, said that while AI technology continues to advance rapidly, whether enterprises can adopt it with real confidence ultimately comes down to whether they retain control of their own data, models, and governance. FedGPT was built on exactly that principle as an enterprise sovereign AI platform: it deploys entirely within an enterprise’s own environment, keeps all data usage inside the organization throughout, and integrates with existing systems to automate repetitive, cross-departmental workflows — helping enterprises build AI capabilities that are self-governed and fully under their own control.

Yating Intelligence has built its business around the principle of trustworthy AI, making it a preferred partner for benchmark industries such as healthcare, finance, and the public sector. By working with AI hardware suppliers, independent software vendors (ISVs), and other ecosystem partners, and by building out a complete distribution network, the company lets enterprises adopt on-premises AI platforms with the same predictability, speed of deployment, and long-term maintainability as buying standard commercial equipment — moving enterprise AI from proof-of-concept to full-scale rollout, and building a self-governed, secure, and trustworthy AI ecosystem for Taiwanese enterprises.

BestCom Infotech: More Than 40 Years as the Bridge Between Enterprises and Industry Partners

Wan Wen-kai, General Manager of BestCom Infotech, said BestCom, a member of the Synnex Group, has spent more than 40 years in commercial IT distribution and has long been committed to helping enterprises advance digital transformation and AI adoption, with a network of more than 2,000 distributors and system integrators across Taiwan. Drawing on decades of experience in the commercial market, a complete product and technology portfolio, and nationwide channel and project-integration capacity, BestCom Infotech continues to serve as a vital bridge connecting enterprises, original equipment manufacturers, and industry partners.

Wan added that in response to the opportunities created by rapid AI adoption, BestCom Infotech is building its efforts around the AI Application Acceleration Platform, connecting international technology, industry resources, and local application partners to establish a complete service model spanning technology adoption, talent development, and market promotion. Looking ahead, the company hopes to deepen collaboration with partners across every sector to advance the real-world deployment of AI technology, accelerate enterprises’ intelligent transformation, and help build a more resilient and innovative AI industry ecosystem.

/by

Taiwan AI Labs Partners with U.S. Defense Technology Provider DS Federal; Taiwan-Developed Sovereign AI Architecture Selected for Inclusion in the U.S. Defense Industrial Supply Chain

As democratic nations worldwide accelerate the development of AI governance and data sovereignty frameworks, Taiwan AI Labs today announced an expanded partnership with U.S.-based technology services company DS Federal. Through this collaboration, Taiwan-developed Federated Learning technology will be deployed in U.S. government and defense-related applications, demonstrating Taiwan’s growing role in the global democratic technology supply chain.

DS Federal’s federated AI platform, DSFed™, is built upon Taiwan AI Labs’ proprietary Federated Learning architecture. The technology enables multiple organizations to collaboratively train and utilize AI models while keeping data within their respective institutions, thereby preserving data privacy and security.

In 2025, DSFed™ successfully passed the competitive evaluation process of the Tradewinds Solutions Marketplace, operated by the U.S. Department of Defense (DoD) Chief Digital and Artificial Intelligence Office (CDAO), and was designated as an “Awardable” solution.

Tradewinds serves as a key acquisition platform for accelerating the adoption of artificial intelligence, data analytics, and machine learning technologies across the U.S. Department of Defense. Evaluation criteria include innovation, scalability, and potential mission value to the DoD. Receiving Awardable status signifies that a solution has successfully passed technical and operational value assessments and is eligible for consideration by U.S. government and defense organizations for procurement and deployment.

This partnership marks the first time that a Federated AI technology architecture developed by a Taiwanese team has entered the U.S. Department of Defense AI ecosystem through a U.S. defense contractor. It highlights the potential for deeper Taiwan–U.S. collaboration in Trustworthy AI, data governance, and Sovereign AI.

Headquartered in Maryland, DS Federal specializes in data science, artificial intelligence, digital transformation, public health, and strategic consulting services. The company serves more than 25 U.S. federal government clients, including the U.S. Department of Defense, National Institutes of Health (NIH), Food and Drug Administration (FDA), and U.S. Marine Corps, and has completed more than 200 projects.

Supported by Taiwan AI Labs’ technology, DSFed™ currently connects more than 20 hospitals, academic institutions, and industry partners worldwide. The platform supports over 80 federated model collaboration projects and more than 30 clinical trials, making it one of the few successful examples of federated AI deployed at scale internationally.

DS Federal and Taiwan AI Labs also showcased the results of their collaboration at the 2026 AI+ Expo in Washington, D.C. As one of the United States’ leading AI strategy and technology events, the 2026 AI+ Expo brought together representatives from government, defense, healthcare, academia, and the technology industry to discuss AI’s impact on national security, supply chain resilience, and governance frameworks.

During the exhibition, ABC 7 News (Washington) interviewed representatives from Taiwan AI Labs and DS Federal, focusing on Taiwan’s growing role in the global AI ecosystem. The report highlighted how Taiwan is addressing challenges related to privacy protection, data governance, and system security through innovations such as Trustworthy AI and Federated Learning, while building an AI development model that balances innovation with data sovereignty.

ABC 7 News also examined how Taiwan is strengthening technology cooperation with the United States while advancing resilient and secure AI infrastructure. The report noted that Taiwan is not only a critical hub in the global semiconductor supply chain, but is also emerging as an important force in advancing responsible AI and AI governance, offering a new model that balances innovation, privacy, and trust in the development of artificial intelligence.

About Taiwan AI Labs

Taiwan AI Labs is dedicated to advancing Sovereign AI, with core technologies spanning Federated Learning, Natural Language Processing, Healthcare AI, and Information Resilience. The organization has made significant investments in Trustworthy AI, data sovereignty, and cross-institutional AI collaboration frameworks, working closely with partners across healthcare, finance, public governance, and democratic nations to promote federated AI applications.

About DS Federal

DS Federal is a technology provider serving the U.S. federal government and defense sector. Its federated AI platform, DSFed™, has been deployed at scale across healthcare, defense, and public service environments, providing a comprehensive solution for cross-organizational data collaboration and privacy-preserving AI development.

/by
,

Taiwan AI Labs and Tamkang University Introduce AI Certification Program Allowing No-Code Agent Development

November 19, 2025 — As AI capabilities become essential workplace skills, the question arises: How can the next generation prepare for the future of work?

Taiwan AI Labs and the College of Artificial Innovative Intelligence at Tamkang University are jointly launching the FedGPT Certification Program, an initiative that introduces foundational concepts in generative AI and AI agents while guiding students through practical enterprise use cases. The program adopts Taiwan AI Labs’ agentic AI platform, FedGPT AgentTeam, enabling students to build automated AI-agent workflows that address everyday challenges and real workplace needs—all without requiring programming experience.

The timing is critical. According to the World Economic Forum’s The Future of Jobs Report 2025, 75% of organizations plan to upskill employees in AI, and 70% intend to hire candidates with AI experience. Labor market analytics firm Lightcast further reports that job postings requiring AI skills offer 28% higher salaries compared with general positions, underscoring strong demand for talent capable of applying AI to real-world scenarios.

Tamkang University has been a leader in digital transformation in recent years, becoming the first comprehensive university in Taiwan to establish a dedicated AI-focused college and undergraduate AI department. Guided by the dual registered trademarks “AI+SDGs = ∞” and “ESG+AI = ∞”, the university aims to advance AI literacy across its entire academic ecosystem. Taiwan AI Labs, meanwhile, has implemented trustworthy AI across multiple sectors including finance, healthcare, media, and the public sector.

Dean Zong-Han Li of the College of Artificial Innovative Intelligence stated, “President Huan-Chao Keh has strongly encouraged the use of AI to drive teaching innovation and foster ‘AI+ talent.’ The goal is to make AI a universal skill rather than a capability limited to engineers, empowering every student to amplify their professional strengths through AI.”

Coinciding with the university’s 75th anniversary, he added that he hopes FedGPT will serve as a learning assistant that supports students’ ethical reasoning, professional learning, and creative application, helping them apply technology responsibly.

合影1

Photo Caption: Zong-Han Li (left), Dean of the College of Artificial Innovative Intelligence at Tamkang University, and Cheen Liao (right), Chairman of YaTing Intelligence Co., Ltd., strategic partner of Taiwan AI Labs.

In 2025, Taiwan AI Labs released a new version of its agentic AI platform, FedGPT AgentTeam. Built on large language models, the platform integrates speech recognition, text-to-speech, image analysis, and multimodal visual question answering. It supports comprehensive processing of audio, image, and text data. Its built-in workflow designer offers a low-/no-code interface, enabling users to coordinate multiple agents using natural language to complete complex tasks.

Through this academic–industry collaboration, six cohorts of the FedGPT Certification Program will be offered between November 2025 and June 2026. Courses will be taught by instructors from Taiwan AI Labs, with the goal of training 100 students as hands-on AI practitioners. The program is open to students from all disciplines, with no requirement for engineering background or programming experience.

Taiwan AI Labs noted that, in response to industry demand for future AI talent, the curriculum emphasizes practical application—teaching students to design AI-agent workflows that can be deployed in real-world settings and solve operational challenges faced by individuals and organizations.

Drawing from previous industry collaborations, Taiwan AI Labs cited several real-world examples of FedGPT-powered AI agents:

  • Finance: Analyzing customer service voice and text interactions and generating accurate responses using internal knowledge bases
  • Healthcare: Transcribing doctor–patient conversations, summarizing clinical notes, and reducing administrative workload for healthcare professionals
  • Media and entertainment: Retrieving archived materials, compiling background information, generating studio logs, and supporting editorial research

These automated workflows can be extended to many additional applications. Once students gain familiarity with agent logic and tools, they can apply the skills creatively within their own professional fields to generate value.

Students may also build workflows for everyday personal needs, such as a vocabulary-learning assistant or a fitness planner that generates customized training programs based on user-provided data. The program encourages participants to design solutions that address real-life challenges, demonstrating the broad potential of AI applications.

Students who complete the 8-hour program, pass the online assessment, and meet practical requirements will receive:

  • Tamkang University micro-credential certification, applicable toward graduation credits
  • Certification from Taiwan AI Labs, strengthening their professional profile
  • Internship opportunities at Taiwan AI Labs for high-performing participants, enabling them to gain hands-on experience with cutting-edge AI technologies

Cheen Liao, Chairman of YaTing Intelligence Co., Ltd., a strategic partner of Taiwan AI Labs, expressed enthusiasm for this collaboration. He noted that while generative AI is already widely adopted, workers across industries increasingly need automated workflows powered by AI agents. Taiwan AI Labs has implemented FedGPT internally to enhance cross-department collaboration and communication efficiency. Through this partnership with Tamkang University, students will gain early exposure to enterprise-level AI workflows, strengthening their practical and problem-solving abilities in alignment with industry needs.

Ethan Tu, Founder of Taiwan AI Labs, emphasized that AI will significantly reshape the future workplace. He noted that individuals will need an “entrepreneurial mindset,” learning to break down tasks and delegate repetitive work to AI while focusing on high-value creative contributions. Those who can design and deploy AI workflows across scenarios may even build “one-person companies” supported by teams of AI agents functioning as highly capable collaborators.

/by
,

Taiwan AI Labs and Chinatunes Culture Launch ibokids: World’s First Licensed Mandarin AI Storytelling Platform

[September 25, 2025] — ibokids, the world’s first licensed Mandarin AI storytelling platform, is officially live. The initiative is a joint effort between Ethan Tu, Founder of Taiwan AI Labs, and Chien-Fu Lee, Founder of Chinatunes Culture Incorporated, home to the largest Mandarin audio content copyright library. Following their earlier collaboration on the licensed AI music platform iBo-AI, this marks another milestone in the development of legally authorized AI voice applications.

Photo Caption: ibokids offers an interactive way for parents and children to choose their preferred “AI storyteller” and enjoy stories anytime, anywhere.

Authorized children’s publishers such as Yow Fu Culture, along with well-known voice actors including Rui-Chin Wang and “Uncle Pang,” have licensed their texts and voices for integration with AI speech generation technology. Since its launch, ibokids has already produced AI-narrated versions of more than 100 children’s audiobooks, which are now available across platforms such as Google, Kobo, Spotify, and international library networks—providing families with convenient, on-demand storytelling services anytime, anywhere.

ibokids takes an interactive approach that lets parents and children choose their preferred “AI storyteller.” Four AI voices—available 24/7—can narrate an entire book in as little as 30–40 seconds. This is 100 to 200 times faster than comparable services, which typically require one to two hours to generate an audiobook. The technology, powered by Taiwan AI Labs’ Yating Studio TTS service, delivers natural, human-like voices in both Mandarin and English without time or location constraints.

Unlike traditional bookshelf-style platforms, ibokids allows users to select both the story text and the narrator. Available options include AI versions of broadcasters Jia-Hao and Yating, trained with licensed data from Taiwan AI Labs, as well as AI voices modeled on Rui-Chin Wang and Uncle Pang, licensed and developed in collaboration with Chinatunes Culture Incorporated. Lee emphasized that this touch-based selection interface not only represents user autonomy in the AI era but also helps children develop motor coordination.

Photo Caption: From left to right: Uncle Pang, Chien-Fu Lee (Founder of Chinatunes Culture Incorporated), Ethan Tu (Founder of Taiwan AI Labs), and Chaohwei Huang (Chief Content Officer, Taiwan AI Labs).

Beloved by children as a “Storytelling King,” Uncle Pang personally attended the launch event in his signature costume, voicing support for the initiative. With humor, he remarked that the AI storyteller is his “friend, AI Uncle Pang.” While the voices of the real and virtual Uncle Pang may be indistinguishable, he assured that this only means he is “always available to serve children everywhere.”

As AI applications for human voices, singing, and music expand rapidly, creators face three key challenges: job displacement, lack of fair compensation for providing training data, and risks of voice misuse.

According to Tu, Taiwan AI Labs and  Chinatunes Culture Incorporated have pioneered industry-first licensing agreements with prominent singers and voice actors, ensuring legal use of voice data for training AI voice models, alongside clear revenue-sharing mechanisms. Tu stressed the company’s commitment to replacing “deepfake” technologies with “Deep Real”—a responsible AI framework based on deep learning and legitimate licensing. This approach ensures that creators who license their voices can benefit economically from their contributions, establishing a sustainable and positive AI economy.

Lee added that  Chinatunes Culture Incorporated  holds authorized texts from multiple Taiwanese children’s publishers as well as licensed storytelling voices, making it Taiwan’s largest audio content copyright repository. With ibokids as the starting point, the company aims to further introduce AI technology to transform Taiwan’s content creation and publishing industries. By shortening production timelines and reducing costs through licensed AI voices, the platform opens up greater access to high-quality storytelling for families across the Mandarin-speaking world.

For more information, visit: https://www.ibokids.com

/by
,

AI Experts Embedded in the Enterprise: FedGPT AgentTeam Brings Agentic AI into Real-World Workflows

Photo Caption: From left to right in the front row — JiaHsin Huang, General Manager of Industry Solutions at Taiwan AI Labs; Jon Wang, Managing Director and President for HPE Taiwan; Ethan Tu, Founder of Taiwan AI Labs; Brandon Lin, Director of Strategic Marketing, Imaging, Care Pathways & AI Solutions at GE HealthCare; and Benson Tu, Director of Core Platform Products at Taiwan AI Labs.

While generative AI is now widespread, enterprises still face major challenges: high deployment costs, stringent data privacy concerns, and fragmented internal workflows that hinder the effective use of AI in daily operations. FedGPT AgentTeam addresses these pain points with an on-premise, trustworthy multi-expert small-model architecture. Data stays on local infrastructure, enabling secure, cross-departmental collaboration and multimodal AI workflows that overcome the limitations of traditional tools.

“FedGPT AgentTeam is tailored to the nuances of Traditional Chinese used in Taiwan and designed with a multi-expert, multi-modal, and multi-center framework,” said Ethan Tu, Founder of Taiwan AI Labs. “It allows enterprises to rapidly deploy specialized AI Agents that integrate seamlessly with both internal systems and external tools. From customer service to HR, marketing, manufacturing, and IT, these agents learn internal knowledge and automate complex tasks—turning AI into a true driver of productivity and growth.”

The Rise of Agentic AI: FedGPT AgentTeam Powers End-to-End Workflow Automation

According to The Economist, 2025 marks a turning point for Agentic AI. Gartner predicts that by 2029, 80% of customer service operations will be autonomously handled by AI Agents. As this shift accelerates, FedGPT AgentTeam is emerging as Taiwan’s leading Agentic AI deployment platform, enabling enterprises to scale from single-point AI tools to holistic, organization-wide systems.

The version name “AgentTeam” reflects the platform’s core value: quickly assembling a team of specialized AI Agents tailored to each enterprise’s needs and knowledge base, working together to complete complex business processes.

Three Core Capabilities to Enhance Business Intelligence and Efficiency

FedGPT AgentTeam combines a domain-specific large language model (LLM) with advanced multimodal AI modules including ASR (automatic speech recognition), TTS (text-to-speech), and VLM (vision-language models). This enables it to process voice, images, and text seamlessly. Key features include:

  1. AgentTeam RAG

    Supports diverse formats and sources,including images, videos, charts, audio, and text,for intelligent knowledge retrieval and generation. It intelligently assesses the complexity of each query and selects the most appropriate problem-solving strategy.

    Example: When given a company’s stock chart and related news articles,FedGPT AgentTeam can analyze correlations between public statements and stock movements to generate actionable insights.
  2. AgentTeam Flow

    A built-in process orchestration tool with a low-code/no-code interface. Employees can trigger multi-agent workflows using natural language—no engineering background required.

    Example: In Taiwan AI Labs’ internal project approval process, tasks like requirement analysis, feasibility evaluation, and cost assessment are now fully automated using Flow.
  3. AgentTeam Tuning

    Supports enterprise-specific fine-tuning of AI models across multiple modalities, adapting to industry-specific terminology and communication styles.

    Example: In healthcare, the platform learned medical staff’s use of informal English abbreviations, enabling accurate transcription and workflow automation across departments.

FedGPT AgentTeam is designed for on-premises deployment, ensuring sensitive data never leaves an organization’s secure environment, which is ideal for highly regulated sectors such as finance, healthcare, and manufacturing.

FedGPT AgentTeam is powered by domain-specific language models shaped by Taiwan AI Labs to align with local linguistic and enterprise needs.Built for adaptability, the model can be rapidly fine-tuned to reflect the specific linguistic, cultural, and operational contexts of each enterprise. In a benchmark assessing localized understanding, the model achieved a Taiwan cognition score of 81.4 out of 100, substantially higher than Chinese models such as Qwen (44.3) and DeepSeek (38.7),demonstrating its strong capability in interpreting and generating content aligned with Taiwan’s unique language environment.

On the “Chinese ideological bias” metric—where lower scores indicate reduced susceptibility to Chinese state-aligned narratives—FedGPT’s score was significantly lower than both Chinese and Western open-source models. This positions the platform as a safer and more contextually appropriate AI solution for deployment in Taiwan’s public sector and sensitive industry environments, minimizing the risk of propagandistic phrasing or narrative misalignment.

To build this domain-specific capability, FedGPT AgentTeam models underwent domain-adaptive pretraining on over 100 billion tokens of Taiwan-specific professional data, requiring just 4,600 NVIDIA H100 GPU hours—an exceptionally efficient process for achieving contextual alignment. The platform is also optimized for enterprise performance: the standard version runs both AgentTeam Flow and AgentTeam RAG on a single Nvidia H200 GPU, dramatically reducing hardware requirements and energy consumption compared to traditional LLMs.

With sustainable infrastructure and predictable total cost of ownership (TCO), the platform offers a cost-effective alternative to token-based pricing models of cloud AI services.

Seamless System Integration with MCP and A2A Protocols

FedGPT AgentTeam supports two open standards that power agent collaboration and integration:

MCP (Model Context Protocol): A secure interface that facilitates intermediary-based access to external applications such as Gmail, Slack, and Google Drive. It converts diverse data formats into AI-readable inputs—think of it as a USB adapter for AI, enabling plug-and-play interoperability.

Photo Caption:MCP can be thought of as a USB adapter for AI, enabling plug-and-play interoperability.

A2A (Agent-to-Agent): A communication protocol for AI Agents to share information, sync progress, and coordinate decision-making. It mirrors how human experts consult each other.Agents can request input from more specialized peers, enabling collaborative problem-solving for complex tasks.

For quality control, the system includes a Human-in-the-Loop mechanism, allowing users to set review checkpoints. It also integrates ReAct (Reasoning and Acting) logic, enabling agents to self-evaluate their outputs at each step, reducing the risk of error accumulation in multi-stage workflows.

Broad Adoption Across Key Industries

FedGPT AgentTeam is already being used in healthcare, finance, education, and government. Early adopters include Hualien Tzu Chi Hospital, Fu Jen Catholic University Hospital, Dong Hwa University, and Taishin Bank.

Looking ahead, the platform is poised to transform high-volume, repetitive business functions in HR, admin, customer service, legal, marketing, and IT. Applications range from policy search and document review to leave approvals, marketing content generation, legal Q&A, and code generation.

Unlike traditional ERP systems or RPA tools, FedGPT AgentTeam enables real-time, natural-language-triggered workflows that adapt to multimodal data. With its intuitive, language-based interface, the platform has the potential to redefine enterprise architecture, eventually replacing parts of legacy ERP systems and bringing AI into the core of daily operations.

/by
,

Tzu Chi University and Paramitas Education Association Join Forces to Deploy FedGPT AgentTeam, Developed by Taiwan AI Labs, Enhancing AI-Powered Learning Support

[June 18, 2025, Taipei] — In response to the rapid advancement of artificial intelligence and its transformative impact on education, Tzu Chi University and the Paramitas Education Association officially signed a memorandum of understanding (MOU) today to integrate FedGPT AgentTeam, an intelligent learning platform developed by Taiwan AI Labs. This collaboration marks a significant step toward bridging educational innovation with humanistic values by introducing AI-powered tools into teaching, research, and campus operations.

The MOU was signed by Dr. Ingrid Y. Liu, President of Tzu Chi University, and Mr. Wen-Chin Huang, Chairman of the Paramitas Education Association, with Mr. Hong-Wen Chang, Chairman of Wizigo Co., Ltd., Ethan Tu, Founder of Taiwan AI Labs, and Chaohwei Huang, Chief Content Officer, witnessing the historic partnership. The collaboration focuses on four key areas: platform deployment and technical support; curriculum integration and pedagogical innovation; joint project development and results sharing; and ethical standards in data usage.

The Paramitas Education Association has long championed personalized education solutions using AI to support self-directed learning. By leveraging data from students’ learning histories, the organization has developed student-centered teaching frameworks grounded in evidence-based practices.

FedGPT AgentTeam is an agentic AI platform developed by Taiwan AI Labs, designed to support on-premise deployment, multimodal data processing, and highly automated workflows. While widely applicable across enterprise scenarios, the platform can be effectively adapted for educational use—offering capabilities such as intelligent knowledge retrieval, streamlined administrative processes, and enhanced teaching support.

The system connects with internal and external resources via the Model Collaboration Protocol (MCP) and Application-to-Application (A2A) integration, establishing a secure and trustworthy AI ecosystem. Core capabilities include:

  • AgentTeam RAG: Facilitates cross-source, multimodal knowledge retrieval by integrating internal documents, curricula, regulations, and educational media to provide real-time, reliable academic support.
  • AgentTeam Flow: Enables low-code process design, helping schools automate administrative and academic workflows—from academic records and cross-department collaboration to approvals—improving efficiency and reducing manual workload.
  • AgentTeam Tuning: Allows customization of the AI model to understand domain-specific language and context, enhancing AI performance across teaching and administrative scenarios.
  • Human-in-the-Loop Mechanism: Embeds a human review process throughout to ensure trustworthiness, accuracy, and compliance with data ethics in educational settings.

With support from both the Paramitas Education Association and Taiwan AI Labs, Tzu Chi University will implement FedGPT AgentTeam to enhance its Chinese-language capabilities in natural language understanding and academic assistance—empowering faculty and students to conduct more efficient and in-depth research and learning.

A key feature of the initiative is the rollout of a “24/7 AI Teaching Assistant”, designed to provide continuous learning support. The assistant offers immediate responses to student inquiries and delivers personalized guidance and extended resources based on individual learning levels—particularly beneficial for students needing additional support to bridge gaps and boost motivation.

“AI is not here to replace people, but to support them,” said Dr. Ingrid Y. Liu, President of Tzu Chi University. “Our AI assistant was designed to offer every student timely companionship and guidance, making learning accessible anytime, anywhere.”

Another major focus of the partnership is the “Tzu Chi and Social Development Research Project”, which includes the creation of three core knowledge bases: the Tzu Chi History and Culture Database, the Humanitarian Media Archives, and the Tzu Chi Global Events Knowledge Base. These resources will be powered by the FedGPT AgentTeam platform and aim to help faculty and students explore Tzu Chi’s contributions to humanitarian relief, cultural communication, and global engagement—fostering interdisciplinary and intergenerational research.

By leveraging AI, students will gain a deeper understanding of Tzu Chi’s mission while improving their abilities in research writing, data organization, and critical thinking—developing global perspectives alongside a profound sense of cultural empathy.

“AI must be embraced in the future of education, but never at the expense of its core values,” emphasized Mr. Wen-Chin Huang, Chairman of the Paramitas Education Association. “This partnership with Tzu Chi University is not just about sharing technology—it’s about co-creating values.”

Ethan Tu, Founder of Taiwan AI Labs, added: “The true value of an AI teaching assistant lies in its ability to understand the needs of the school and evolve with the learning environment. FedGPT AgentTeam is like a tireless digital assistant—always learning, always ready. It helps students with questions, supports teachers and administrators, and allows human resources to focus on meaningful, human-centered education.”

Looking ahead, Tzu Chi University will continue to integrate AI into its curriculum—guiding students from understanding AI, to applying it, and ultimately creating with it. Through practical applications such as the AI Teaching Assistant and research-oriented knowledge bases, the university remains committed to its founding values of compassion, joy, and selfless giving, while nurturing future professionals equipped with both empathy and forward-thinking innovation.

To further extend the impact of this initiative, the Paramitas Education Association will host a national education forum titled “Empowering Adaptive Learning with AI” on July 19, 2025, inviting educators across Taiwan to explore the future of collaborative, AI-enhanced learning.

[More Information]
 Tzu Chi University: https://www.tcu.edu.tw/
 Paramitas Education Association: https://twpea.org/
 FedGPT AgentTeam Platform: https://fedgpt.cc

 

/by
,

Taiwan AI Labs Recognized as a Trusted AI Partner Aligned with EU Regulations; Launches First National-Level Federated Learning Collaboration Between Taiwan and Europe

[Taipei, May 15, 2025] Taiwan AI Labs was recently recognized as a Gold Partner at Machine Learning Prague 2025, one of Europe’s most influential applied AI conferences, held from April 28 to 30 at the O2 Universum in Prague, Czech Republic. The Lab was formally recommended by the Czech National AI Hub as a trusted international partner, with its technological direction aligned with the EU’s Artificial Intelligence Act (AI Act) and General Data Protection Regulation (GDPR).

The event gathered thousands of data scientists, engineers, and industry leaders worldwide to explore practical applications of AI and discuss key challenges. This year’s agenda spotlighted AI in healthcare and finance, information security, and the advancement of trustworthy AI technologies.

Machine Learning Prague introduced Taiwan AI Labs as Asia’s first open AI research institute, noting its deep alignment with the EU’s core AI values. The Lab’s work reflects a shared vision in four key areas:

  1. Federated Learning & Data Privacy
     Enabling AI training across decentralized data without exposing sensitive personal information.
  2. Healthcare AI & Ethical Governance
     Developing clinically validated, explainable systems under ethical oversight.
  3. Civic Tech & Misinformation Resilience
     Creating tools to counter disinformation and strengthen democratic institutions.
  4. Transparency & Open Innovation
     Publishing research outcomes, promoting open-source models, and embedding accountability mechanisms.

In response to the global momentum around digital rights and data protection, Taiwan AI Labs developed FedGPT—a platform that integrates federated learning with generative AI. Designed to meet stringent privacy and compliance standards, FedGPT allows institutions to train AI models internally without transferring sensitive data to external clouds or third parties. Its architecture supports cross-institutional and cross-border collaboration, making it ideal for sectors such as healthcare, finance, and public administration.

Ethan Tu, Founder of Taiwan AI Labs, remarked:“Trustworthy technology is Taiwan’s strength. In today’s landscape, regulatory compliance is not a burden—it’s a prerequisite for participating in the global AI ecosystem.”

Following its participation in the AI Action Summit in France last year, Taiwan AI Labs has now been invited by the Czech Ministry of Health and national medical institutions to co-launch a collaborative initiative on federated learning and generative AI. This joint effort will support the Czech healthcare system in adopting AI solutions that prioritize privacy and ethics—marking a significant step in Taiwan’s AI technology being applied in real-world European contexts.

Tu added,“Every industry, everywhere, will need trusted AI solutions. Taiwan’s native approach—rooted in responsibility, compliance, and control—aims to be a reliable choice for our global partners.”

About Taiwan AI Labs

Founded in 2017, Taiwan AI Labs is a mission-driven, privately funded open AI research institute based in Taipei and Kaohsiung. The Lab develops AI technologies grounded in trust, privacy, and human-centric design, delivering solutions across smart healthcare, federated learning, AI-generated media, and disinformation detection. Its innovations in human-AI interaction—including AI music generation, speech recognition, and semantic understanding—have driven global conversations and earned recognition from top international journals.

The Lab continues to lead on the global frontier, rallying Taiwan’s talent, resources, and industries to form a National Federated Learning Alliance—bringing federated AI deployment from both public and private clouds to the world stage.

Media Contact
 Ellie Chen
 Public Relations, Taiwan AI Labs
 wanhsin.chen@ailabs.tw

/by