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2025 Taiwan AI Awards | Smart Agriculture, Digital Dentistry, AI Textiles... How 11 Taiwanese Companies are Bringing AI to Life
Over the past year, the global AI industry has experienced a significant shift, moving from breakthroughs in models to deeper applications. Technologies like large language models (LLM), reasoning models, and multimodal systems are no longer controlled by just a few tech giants.
The release of open-source models has significantly reduced implementation costs for businesses, making AI applications more cost-effective across various fields. Additionally, the modularity and automation of AI toolchains have transformed many AI labs into new types of business engines, with real-world deployments already underway in areas such as customer service automation, predictive modeling, vibe coding, and multilingual marketing content.
In the face of this wave of change, for local industries in Taiwan, is it more of a crisis or an opportunity?
Taiwan's 3 Major AI Challenges After ChatGPT
Although Taiwan boasts a highly competitive semiconductor and ICT industry, with a 59.0% year-over-year increase in exports of information and communication technology and audiovisual products in 2024, driven largely by the growing demand for AI servers and chips, Taiwan still faces multiple challenges.
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Firstly, there is a shortage of computing resources, particularly a lack of high-end GPUs, which has become a bottleneck for training local models.
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Secondly, the difficulty in accessing data has made the situation even worse—compared to China, Taiwan lacks a large amount of Traditional Chinese training data, and regulations restricting data usage further exacerbate the problem.
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What’s even more concerning is the brain drain, as many top technical talents are being poached by international giants like NVIDIA, Meta, and Google. In this environment, many local project teams in Taiwan face reduced funding and the departure of core members, leaving them almost "unable to continue."
"At the most crucial moment for AI startups globally, Taiwan has almost no entrepreneurial talent capable of combining technology with business to create successful ventures. This is a national security issue." Lee-Feng Chien, Chairman of the Judging Panel for the 2025 Taiwan AI Awards
For Taiwan to establish itself in the AI era, it needs a more macro-level strategic mindset. While seeking commercial success, it must also consider a truly executable national AI strategy. By combining industry knowledge, international perspectives, and technological innovation, Taiwan can maintain a place in the global competition of the AI era.
This is also the reason why the 'Taiwan AI Awards' are being organized again in 2025: it's not just an award, but a mirror and a starting point. We hope that through this award, we can showcase and present Taiwan's representative achievements in AI applications and innovation over the past year, demonstrating to both domestic and international audiences that Taiwan is not only chasing technology trends but also a hub for turning AI technology into reality.
Facing competition from global AI giants, Taiwanese AI companies are seeking strategies to differentiate themselves. The first step is to deepen the integration of industry knowledge with AI. The period from 2024 to 2025 will be a year where Taiwan's AI teams dive even deeper into various industries. Now, let’s get to know the AI innovators who are making Taiwan shine.
Agritalk
Founded in 2019, AgriTalk focuses on developing smart agriculture technology, using AI and IoT to reshape traditional agricultural production processes. Its core platform, AgriTalk AIoT, integrates modules such as soil microbiome prediction, smart fertilization, and pest and disease forecasting, helping farmers improve crop quality and field management efficiency.
Its technology leverages microbiome analysis and time-series modeling to provide precise fertilizer recommendations and pest control solutions, enabling the production of high-yield, non-toxic agricultural products.
AgriTalk has also developed a natural pest inhibitor based on spider venom proteins, which is highly specific and environmentally friendly. Evidence shows that its system increases the effectiveness of compounds like curcumin and salvia miltiorrhiza by 50% compared to traditional cultivation methods.
Furthermore, the system has been proven to enhance soil biodiversity and increase soil carbon sequestration, achieving higher yields while being environmentally sustainable. It has been applied to a variety of high-value crops, including medicinal herbs, turmeric, salvia, white strawberries, rice, and vegetables, and is expanding into international markets. AgriTalk is a key player in Taiwan’s efforts in smart agriculture and biological sustainability.
Dentscape
Founded in 2021, Dentscape focuses on AI-driven digital dental design, co-founded by a National Taiwan University dentist and former team members from Amazon and Meta.
The two core products are: Preteeth AI Pro, an AI-powered 2D smile design software that quickly generates aesthetic simulations to assist in doctor-patient communication; and Dentscape CAD, a cloud-based 3D dental design platform that automatically generates crowns, bridges, and occlusal plates based on the dentist’s style. By combining intraoral scanning and 3D printing, it significantly shortens the denture manufacturing process.
The products have been adopted by multiple dental laboratories and clinics, with users in over 100 countries worldwide. They have also won several patents and entrepreneurship competition awards in Taiwan.
Dentscape integrates machine learning into clinical dental applications, improving diagnostic efficiency and accuracy, helping the industry alleviate the labor shortage of dental technicians, and driving Taiwan’s upgrade from "digital dentistry" to "smart dentistry." It is a core driver of the industry’s paradigm shift.
Frontier.cool
Founded in 2020, Frontier.cool drives the digital transformation of the textile industry with AI technology, creating a next-generation fabric digital asset management platform (Digital Asset Management, DAM).
Its core SaaS solution integrates AI fabric pattern recognition, format conversion, commercial data tracking, and carbon emission calculation modules, enabling the high-speed conversion of physical fabrics into 3D digital assets. This solution connects the entire process from design and development to production in a seamless digital application environment.
The platform has been deeply integrated with various mainstream 3D design and PLM systems, allowing design, development, and supply chain teams to access and reuse fabric materials in real-time on a unified platform. This significantly improves material management efficiency, reduces fabric and garment sample development costs, and compresses development timelines to one-third of the original duration.
The platform has been adopted by several international brands and large textile groups and is now rapidly expanding into European, American, and Asian markets. It is becoming a critical infrastructure for the fashion and manufacturing industries as they move toward digitalization and sustainability.
iCHASE
Founded in 2021, iCHASE reshapes the poultry farming industry through AI and IoT. Its developed "AI Poultry Care System" can monitor the weight, uniformity, and health of poultry in real-time. By utilizing edge computing, it reduces transmission delays, helping farmers precisely adjust feeding strategies to improve productivity and animal welfare.
Another product, the "AI Laser Bird Repeller," combines high-powered lasers with visual recognition technology to effectively repel wild birds and prevent the spread of diseases. iCHASE has expanded to 15 countries, serving over 200 clients, and has been selected as one of the THRIVE Top 100 global agri-tech innovation teams. It is also a member of the NVIDIA Inception Program.
Its products not only redefine farming management practices but also showcase the broad potential of AIoT in the livestock industry.
Jubo Health
Founded in 2018 by former National Taiwan University professor Shih-Chung Jessy Kang, Jubo Health is the first startup focused on CareTech AI.
Its core product, the "Jubo Digital Care Platform," uses AI-driven care plan generation, risk prediction, and clinical decision support to help institutions significantly improve efficiency and quality. The platform has been implemented in over 1,200 care institutions, supporting 130,000 residents and 47,000 care professionals, with over 1.2 billion care records accumulated.
Currently, Jubo Health serves markets in Taiwan, Canada, the United States, Japan, and Southeast Asia, and continues to expand globally. With AI at its core, Jubo Health is redefining the technological landscape of elderly care, ensuring that data is effectively applied in every caregiving situation.
Lawsnote
Founded in 2016, Lawsnote focuses on applying AI technology to legal information retrieval, alleviating the workload of legal departments.
Its core product, "Lawsnote Legal Search," is known as the "Google of the legal industry." It currently serves over 500 corporate clients, including publicly listed companies, financial institutions, law firms, and government agencies.
In addition to its search engine, Lawsnote has launched tools such as the "Corporate Compliance System," "Contract Automation Service," and "Legal Assistant," which leverage natural language processing technology to help users improve legal operations efficiency. Its patented keyword recognition technology has earned three Taiwan invention patents.
In recent years, Lawsnote has also actively expanded into the Southeast Asian market and participated in the development of local legal corpus for training generative AI models, representing the integration of law and technology in Taiwan.
LegalSign.ai
Founded in 2019, LegalSign.ai focuses on legal process automation and risk management, developed by a team with backgrounds in both law and data science.
Its flagship product, "LegalSign Contract Expert," provides an all-in-one AI contract lifecycle management solution that covers drafting, reviewing, signing, performance, and archiving. This significantly reduces the time and labor required for legal processes and also supports electronic signatures and generative AI applications for legal tasks.
LegalSign.ai's services are used by financial institutions and large tech companies, including Cathay Financial Holdings and Acer Group. The company has also participated in Taiwan's Project TAME, a large-scale language model training initiative, to enhance AI’s semantic understanding of Taiwan's legal environment.
Its innovative model has been recognized by NVIDIA, winning the 2024 AWS Generative AI Future Star NVIDIA Special Award. LegalSign.ai also benefits from Taipei-1 supercomputer support, positioning itself as a pioneering force in combining legal expertise with generative AI.
Lydia AI
Founded in 2015, with its headquarters in Canada and a technical and operations team based in Taipei, Lydia is one of the key startups in the global insurtech field.
Lydia applies AI technology to health data analysis and risk modeling, using deep learning models to predict individual health risks from non-medical data and generate personalized "health scores." This helps financial and insurance institutions design more flexible and personalized coverage plans.
The technology has been successfully implemented by multiple insurance companies, significantly improving underwriting efficiency and inclusivity. Lydia has raised over $14 million in funding and is actively expanding into international markets.
The team continues to develop traditional Chinese and multilingual AI modules, aiming to provide data-driven health insurance services to safeguard the health of the next generation of the global population.
Thingnario
Founded in 2016, Thingnario is a pioneer in Taiwan's energy AIoT field, focusing on the development of a SaaS-based smart energy management platform.
Its core product, "Photon," provides real-time monitoring, performance analysis, and anomaly alerts for solar power plants. It has achieved the largest market share in Taiwan, monitoring over 3.5 GW of capacity and managing more than 100,000 IoT devices.
Thingnario has also established Taiwan’s only AI-based green electricity procurement platform, using big data to help businesses achieve carbon neutrality goals and match green electricity supply and demand. The system improves power generation efficiency by an average of 2.17%, saving users over 60 million kWh of electricity annually.
The company is deeply involved in the Southeast Asian and Japanese markets and continues to expand into areas such as energy storage and carbon auditing, becoming a key driver of energy digital transformation and the smartization of renewable energy.
Turing Drive
Founded in 2018, Turing Drive is dedicated to developing commercially viable low-speed autonomous driving technology, focusing on unmanned vehicle applications in specific areas such as campuses, science parks, and tourist districts.
Its self-developed autonomous driving system, AutoDrive, integrates various sensors, computing platforms, high-precision maps, perception positioning, and vehicle control modules. It supports over 30 vehicle models and has accumulated more than 30,000 kilometers of real-world testing experience.
The company's operational management system, SyncDrive, provides real-time dispatch, task scheduling, and data analytics features, enhancing fleet efficiency. Turing Drive has piloted operations in Taipei, Taoyuan, and Kaohsiung, and has expanded to six overseas markets. Recently, it conducted a tourist shuttle test in Miyako Island, Japan, providing transportation solutions for aging societies.
The company is also expanding into diverse scenarios such as agriculture and urban maintenance, promoting the localization and technology export of the autonomous driving industry in Asia.
Special Jury Award (Reason for Award: One of the few in Taiwan to enter the global mainstream with an "open-source business model")
Canner Inc.
Founded in 2018, and with the launch of its open-source Generative Business Intelligence (GenBI) platform, Wren AI, in 2024, Canner has created an intelligent tool designed for enterprises to perform data queries and analysis through natural language.
The platform integrates semantic modeling, language models, and data visualization technologies, enabling users to gain real-time insights from distributed data sources without writing SQL, all while providing contextualized information. Since going open-source, Wren AI has accumulated over 7,700 stars on GitHub, making it one of the most popular Text-to-SQL solutions worldwide.
By leveraging an open-source model to showcase its technical capabilities, Wren AI has made a tangible impact on the global AI industry ecosystem, particularly in the field of enterprise data analysis and decision-making process automation.
In addition, Canner has launched Wren AI Cloud, offering more comprehensive data integration and report automation features. With over 4,000 users, including paying customers from countries such as the Netherlands, Italy, the United States, South Africa, and Russia, as well as European publicly listed companies, Canner helps decision-makers drive business development with data, shaping a new generation of smart enterprise operations.
About the 2025 Taiwan AI Awards
The selection criteria for the 2025 "Taiwan AI Awards" focus on four key aspects: technological capability, market potential, application innovation, and industry impact. Eligible participants must be product or service companies registered in the Republic of China, or have a team leader of Taiwanese descent, with a focus on "industry AI adoption" or "AI industrialization." Their primary products or services must incorporate AI technology or applications, and have a significant impact on the Taiwanese market, industry, or society.
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