Who we are

N2N.ai is a leading complete enterprise AI solutions and services provider for accelerating digital transformation. Founded in Sydney - Australia, N2N.ai provides industry-led comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches.

Our mission

Our mission is to continuously innovate and commercialise complete enterprise AI solutions, products and services to industry partners worldwide. Working closely with world-class academic researchers, N2N.ai supports the value chain in any industry with prototype, configurable and scalable, high-value AI applications for predictive maintenance, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering and customer engagement.

Our team 

David NGUYEN - CEO	David Nguyen is a senior executive and strategist in AI, Blockchain, Robotics, and Semiconductors, with expertise in applying these technologies to healthcare, logistics, defense, and law enforcement. He has secured over $200M in deep-tech and digital transformation funding, leading cross-border initiatives across Australia and the Asia Pacific. He currently serves as Industry Professor at UNSW Sydney, Senior Industry Advisor at Macquarie University, and Head of AI Commercialization at Hanoi University of Science and Technology, while advising the Australian Government on emerging technologies. As Founder of N2N AI, he drives innovation that transforms research into scalable industrial AI solutions with real-world impact.
Lam CHAU - CTO	Lam CHAU is a seasoned technology and simulation expert with over 15 years of experience in innovation and R&D leadership. He graduated from the University of Bonn, Germany, and has held strategic technical roles at leading global companies such as Facebook, Disney, and EA Sports. Lam has also contributed to international scientific boards of Information Technology in France, Germany, and Sweden. With his expertise in simulation technology, software development, and technology management, he brings both technical depth and visionary leadership to every N2N AI’s customer worldwide.
Van Huan NGUYEN - Lead AI R&D	Dr. Van Huan Nguyen is a computer vision and AI researcher with expertise in pattern recognition, image and video processing, biometrics, machine vision, and deep learning. He earned his Ph.D. in Information Technology from Inha University, Korea, and has published over 30 journal articles and numerous international conference papers. He has held senior research roles in Korea and Vietnam, including Global R&D leadership at AI Vision Co. Ltd. and Director of the Center for Science, Technology and Training at SIS, Vietnam National University. At N2N AI, he is working with a team to lead research in advanced machine learning and vision-based systems with strong applications in security, biometrics, and intelligent surveillance.
Professor Yonghui LI – Advisor	Prof. Yonghui Li is an internationally recognised research leader in wireless communications, currently serving as Professor at the University of Sydney, ARC Future Fellow, IEEE Fellow, and Research Director of the Centre for IoT and Telecommunications. He directs the Wireless Engineering Laboratory, the largest in the School of EIE, and has published over 260 IEEE journal papers, two textbooks, and received 11 ARC grants, with more than 18,000 citations and an h-index of 60. His pioneering contributions, recognised through his elevation to IEEE Fellow in 2018, span both theory and real-world applications, including the development of long-range WiFi and leadership in multi-million-dollar commercialisation projects. He has also co-founded Gridlink and co-directs the NSW Connectivity Innovation Network, driving innovation to enhance connectivity and smart technologies for industry and communities
Professor Guan Heng YEOH - Advisor	Prof. Guan Heng Yeoh is a Professor at the School of Mechanical and Manufacturing Engineering, UNSW, and a leading figure in fire safety engineering. He directs the ARC Training Centre for Fire Retardant Materials and Safety Technologies and the ARC Research Hub for Fire Resilient Infrastructure, while also serving as Chief Investigator at the ARC Centre of Excellence for Carbon Science and Innovation. His research spans green fire-retardant materials, advanced suppression technologies, responsive sensors, carbon-based composites, and graphene applications, with outcomes including commercialized products such as FSA FIRECOAT. Recognized internationally, he is a Fellow of the International Association of Advanced Materials and recipient of awards from NASA, IChemE, AIRAH, and the Shaping Australia Awards.

N2N AI offers complete Enterprise AI turn-key solutions for the services below:

• AI-powered automation: This includes tools for automating routine tasks such as data entry, invoicing, or customer service (e.g., chatbots). Automation improves efficiency and reduces operational costs.
• Predictive analytics: AI systems can analyze vast amounts of data to forecast trends, customer behavior, and market changes, helping companies make data-driven decisions. This is often used in areas like sales forecasting, inventory management, and risk analysis.
• Natural Language Processing (NLP): NLP services enable machines to understand, interpret, and generate human language. This can be used in applications like sentiment analysis, language translation, and chatbots for customer service.
• Computer vision: AI-powered image and video analysis help businesses automate tasks like product inspections, security monitoring, and even medical image analysis.
• AI-driven decision support systems: These systems provide executives and decision-makers with insights derived from large datasets, aiding in better strategic planning and operational decisions.
• Data management and governance: AI can assist with managing large volumes of data by organizing, cleaning, and ensuring compliance with regulations, such as GDPR.
• Machine learning consulting: Companies often seek expert AI consultants to design and deploy machine learning models tailored to their needs, such as improving customer experience, optimizing supply chains, or enhancing fraud detection.
• Robotic Process Automation (RPA): Integrating AI with RPA allows enterprises to build smarter robots that handle complex workflows across various departments, including finance, HR, and marketing.
• AI in cybersecurity: AI-powered systems can detect and respond to potential cyber threats faster than traditional methods by analyzing patterns, spotting anomalies, and predicting attacks.
• AI-driven marketing solutions: AI services can enhance marketing strategies with personalized recommendations, ad targeting, and customer segmentation based on deep data insights.