Pure Global appoints AI expert to cut MedTech costs
Pure Global has announced the appointment of Ran Chen as Chief Technology Officer to lead the company's development of AI-based regulatory automation for medical device manufacturers.
Ran Chen joins Pure Global after serving as Director of Machine Learning at Tubi TV, where he was responsible for building the streaming platform's machine learning infrastructure and leading the development of over 70 real-time models that powered content personalisation. In his new role, Chen is expected to focus on agentic AI tools designed to automate tasks such as translation, classification, and document generation, with the aim of cutting regulatory delays and costs for MedTech companies.
Regulatory delays in the medical device industry are a significant concern, often costing manufacturers over USD $55,000 per day. These delays not only impact patient access to new medical devices but also impose a substantial financial burden on manufacturers. Pure Global's AI-powered compliance platform aims to address these issues through automation and streamlining of regulatory submission processes.
"With Ran as CTO, we're accelerating our ability to build and scale the tools our clients need. The impact is already clear as our AI agents are showing strong results across translation, classification, and document building," Praising the new appointment, DJ Fang, Co-founder and Chief Operating Officer of Pure Global, said.
During his time at Tubi TV, Chen established the company's machine learning infrastructure from the ground up and played a role in the platform's growth within the competitive video streaming sector in the United States. As CTO at Pure Global, he is tasked with further strengthening the company's AI capabilities and underlying data systems. Chen's priorities will include speeding up the development of tools for classification, translation, document generation, and gap analysis, which are all critical to medical device registration. He is also expected to collaborate closely with clients to ensure platform solutions are tailored to their needs and scalable across multiple markets.
"I'm excited to join Pure Global and apply my machine learning experience to medical device regulation, a space where technology can make a real difference. My focus is on using agentic AI to reduce delays and simplify global market access. We build every tool with one goal in mind: helping our clients move faster with less friction," Ran Chen said, commenting on his new role.
Over the past two years, Pure Global has expanded its international infrastructure by establishing legal entities and partnerships in more than 30 key markets worldwide. This network is intended to allow the company to combine AI automation with local regulatory expertise, helping to reduce unnecessary delays and facilitate faster market access for clients operating in different regions.
The company's approach is centred on automating some of the most time-consuming regulatory steps, with the intention of enabling medical device manufacturers to scale efficiently and respond to evolving market and regulatory requirements. Chen's cross-industry experience and previous track record in scaling AI solutions are seen by Pure Global's leadership as strengthening the company's strategy to address regulatory complexities in the MedTech sector.
DJ Fang highlighted that the integration of advanced AI into regulatory processes is already producing measurable improvements in operational efficiency for clients. Chen's appointment is regarded by the company as a significant milestone in advancing its mission to facilitate reliable and timely global market access for healthcare technologies.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Techday NZ
10 hours ago
- Techday NZ
SAS launches AI models after USD $1 billion investment push
SAS has released a set of artificial intelligence models targeting business processes that are traditionally labour-intensive and time-consuming. The launch is part of a USD $1 billion investment by SAS in industry-focused data and AI solutions intended to streamline specific business bottlenecks. The newly introduced models are designed either for immediate deployment or to serve as a foundation that organisations can quickly customise, enabling faster model training on internal data. SAS states that these packaged models are compatible with existing systems and suitable for organisations regardless of size. Model Applications The available models span several industries. For cross-industry use, SAS has presented AI-Driven Entity Resolution and Document Analysis. Within health care, there is a model focused on Medication Adherence Risk, while manufacturing clients have access to Strategic Supply Chain Optimisation. Public sector releases include Payment Integrity for Food Assistance and Tax Compliance for Sales Tax. SAS has indicated that each model was developed according to its Data Ethics Practice guidelines. According to the company, this ensures the resulting outputs are easy for organisations to understand and explain. SAS asserts that users can improve productivity and return on investment as a result of deploying these solutions, while maintaining an adherence to principles of responsible use. Kathy Lange, Research Director at IDC, commented on the nature and flexibility of the SAS Models portfolio. She said, "SAS Models are based on SAS' core assets, talent and intellectual property from its wealth of experience working with customers to solve industry problems. Between its scalability and seamless integration with existing environments, SAS Models are a great option for those looking to accelerate time to production who might lack the expertise or time to build models from scratch." Future Roadmap In addition to the models now available, SAS outlined plans for expanding its industry-specific AI library. Scheduled for later in 2025 are new models addressing needs in banking (Fraud Decisioning for Payments and Card Models), health care (Payment Integrity for HealthCare), manufacturing (Worker Safety Monitoring) and the public sector (Tax Compliance for Individual Income Tax). SAS also announced it is working on "agentic" versions of its models, designed to increase autonomy within business-specific AI solutions. According to SAS, these forthcoming agentic offerings will aim to further reshape operational efficiency by introducing pre-built agents capable of automating complex data preparation processes. Data Preparation Solution The challenge of preparing large volumes of raw data so that it is suitable for AI model training is significant for many organisations. Data scientists often spend extended periods building and refining data lakes—repositories that structure raw customer data for analysis. SAS is responding to this challenge with an AI agent designed to automate complex data preparation processes, thereby facilitating real-time model operation with minimal manual intervention. "We believe the future of AI lies in agents that are not only intelligent but also responsible, ready-to-use and relevant," said Udo Sglavo, VP of Applied AI and Modeling, R&D at SAS. "Our new industry-specific models, built on decades of domain expertise and guided by our ethics-first approach, represent a bold step toward agentic AI: solutions that think with context, act with purpose and deliver real-world impact." Delivery and Integration SAS reports that organisations implementing its models have access to clear, simplified documentation intended to support transparent and responsible use. Each model can be tailored to meet sector-specific requirements and can supplement existing IT and business infrastructures. The release of these new AI models represents the latest step in SAS' long-term development strategy, continuing its aim to address evolving customer priorities across a range of sectors.
Techday NZ
18 hours ago
- Techday NZ
Moomoo launches in New Zealand, offering US trades from USD $0.99
A new trading platform has launched in New Zealand, aiming to reduce barriers for local investors accessing US share markets by offering the lowest fees available for unlimited US trades and providing access to a broad range of stocks and exchange-traded funds. Founded in Silicon Valley in 2018, moomoo has expanded its presence globally, reaching over 25 million users across markets including the United States, Singapore, Australia, Japan, Canada, Hong Kong and Malaysia. This entry into the New Zealand market comes after moomoo's recent expansion into Australia, where it achieved the highest number of online broker app downloads within its first two years of operation. Investors in New Zealand now have the opportunity to trade more than 22,000 stocks and ETFs listed on markets in the United States, Australia, and Hong Kong. The platform offers more than 15,000 US stocks and ETFs at a fee of USD $0.99 (NZD $1.66) per trade. Michael McCarthy, Chief Executive Officer for moomoo Australia and New Zealand, said the platform was developed to democratise access to global markets for investors of all experience levels. "One of the unique features of moomoo is its ability to enable 'social investing', whereby the online community of global users are able to support and learn from one another, including sharing investing ideas and insights on stocks," McCarthy said. "This allows everyone from beginners to seasoned investors to learn investment strategies and share this experience with other users around the world. We also offer structured learning experiences and additional educational resources to assist users on their investment journey." McCarthy noted that these resources are targeted at helping investors track market trends, identify opportunities and make investment decisions that reflect their individual risk preferences and financial objectives. He added that the platform provides 24-hour US trading on every trading day, removing key time zone barriers for New Zealand investors and enabling access to US markets at any hour. "New Zealand has a strong investing culture, and we see growing demand for innovative, sophisticated tools that empower retail investors to navigate global markets with confidence," McCarthy said. "We are able to provide real-time market data, AI-powered analytics, advanced charting tools, and curated news from top-tier financial media outlets. These features transform the complexity of financial markets into intuitive, actionable insights, seamlessly integrated into the platform's user-centric interface." As part of its launch, moomoo is offering new users in New Zealand commission-free trading on Australian and US stocks for their first 30 days. Additional incentives include free reward stocks for users following eligible deposits. The moomoo app allows New Zealand investors to access features such as options trading and dividend reinvestment plans for US-listed shares, aiming to cater for a diverse range of investment strategies and needs.
Techday NZ
5 days ago
- Techday NZ
LogicMonitor appoints Garth Fort as Chief Product Officer to boost AI
LogicMonitor has appointed Garth Fort as Chief Product Officer, tasking him with overseeing the company's global product strategy and execution, with a focus on further developing the LM Envision platform and driving advancement in AI-powered observability and AIOps through its AI agent, Edwin AI. This appointment follows the company's achievement of exceeding USD $300 million in annual recurring revenue (ARR), a milestone attributed to strong expansion into larger market segments and increased adoption of multiple LogicMonitor products. According to LogicMonitor, customers contributing over USD $100,000 in ARR have grown by more than 25 per cent year-over-year and now account for 80 per cent of the total ARR. The company also noted that Edwin AI, which was launched a year ago, has played a significant role in enhancing revenue growth and broadening platform adoption. Commenting on the appointment, Christina Kosmowski, Chief Executive Officer at LogicMonitor, said, "Garth's appointment represents our continued, strategic investment in product leadership at the intersection of Agentic AIOps and hybrid observability. Garth brings the pedigree and operational excellence to accelerate and execute our roadmap and unlock more value for our customers and partners—our goal is to reduce unplanned downtime by 50 per cent and empower customers with foresight, not hindsight." Garth Fort's previous roles include serving as Senior Vice President and Chief Product Officer at Splunk. During his tenure, he led Splunk's transition to the cloud, which is now a USD $4.2 billion business. The company highlighted his experience in shaping software and cloud services at prominent technology firms, including Amazon Web Services and Microsoft. Fort holds a bachelor's degree from the University of North Carolina, Chapel Hill, where he was recognised as a Morehead Scholar. Garth Fort, Chief Product Officer at LogicMonitor, said, "LogicMonitor is uniquely positioned to lead the next era of AI-driven observability and IT Operations at a time of massive data centre transformation. The increased demands created by rapid adoption of AI are driving unprecedented complexity across hybrid and multi-cloud environments. I'm excited to join LogicMonitor to help build an observability platform that doesn't just monitor across physical and cloud data centres - it foresees and adapts in real time." LogicMonitor stated that its LM Envision platform is designed to enable observability across on-premises and multi-cloud environments, providing IT and business teams with operational visibility and predictability across technologies and applications. The company aims to allow teams to spend less time on troubleshooting and more time on delivering services to employees and customers. The appointment of Fort as Chief Product Officer is intended to further the company's strategy of investing in product development and driving its growth in AI-driven software for IT operations. The company noted that Edwin AI's adoption is contributing to its financial results by supporting platform expansion and accelerating revenue from enterprise customers. LogicMonitor's focus remains on reducing unplanned downtime for its customers, addressing the challenges brought about by increased data centre complexity and the hybrid nature of modern IT environments. The company attributed part of its ongoing growth to the deployment of its AI-powered solutions, which it claims provide clients with improved foresight into IT operations. The company indicated that having experienced leadership, such as Garth Fort, is central to advancing its product roadmap and meeting the evolving demands of customers seeking operational efficiency amid growing technological complexity.
