The meaning behind the name of company
Our company name, βiNOWAYTiONβ, reflects our commitment to finding INtelligent Operational WAYs to TransportatION. The two lowercase 'i's symbolize information, which is central to our data-driven solutions.
Additionally, the name closely resembles the word INNOVATION, emphasizing our focus on developing creative and impactful transport solutions. This blend of meaning and sound highlights our dedication to transforming transportation through innovative thinking.
Vision & Mission
Our vision is to be a global leader in transforming transportation through innovative data analytics, enabling seamless, efficient, and sustainable mobility solutions for all.
Our mission is to empower transportation stakeholders with intelligent data-driven solutions that enhance decision-making at strategic, tactical, and operational levels. By harnessing real-time and historical big data, we provide insights that improve efficiency, safety, and sustainability in transport systems.


Our Team
Ehsan Seyedabrishami is a transport engineering expert with extensive experience in teaching courses on statistical and artificial intelligence applications in transport data analysis. He has served as the product owner for two transport data analysis platforms and has published over 60 papers in journals and conference proceedings. With a strong background in industry collaboration, he has led more than six industry projects. Currently, he is an Entrepreneur Lead at the Sydney Knowledge Hub and a Research Affiliate at the University of Sydney.
Mohammad Mahdi Bahrami is an accomplished business development and management professional with over ten years of experience in the technology and fintech sectors. His extensive international experience and strategic mindset have been key to driving growth and innovation across various projects. Known for his exceptional leadership and ability to navigate complex markets, He is a respected figure in the global tech and fintech landscape."
Maryam Iranmanesh is an expert in transport planning with extensive experience in transport data analysis, safety modeling, traffic conditions, and transport policy evaluation. She completed her PhD in Civil Engineering, specializing in Transport Planning, and has worked as a researcher in this field. With over ten years of experience, she has collaborated on various research and industrial projects, establishing strong connections with industries in the transportation and traffic sectors. Additionally, she has published numerous articles in reputable national and international journals and conferences.
Mohammad Gharaei is a seasoned expert with over two years of experience as a CEO in the blockchain industry and six years of product management experience in the field of artificial intelligence. Known for his strategic vision and innovative approach, Mohammad has successfully led numerous AI and blockchain projects, demonstrating strong leadership and technical expertise. His dedication to excellence and deep understanding of emerging technologies make him a highly respected professional in his field.






Fatemeh Vafaee is a globally recognized expert in artificial intelligence and computational biomedicine, specializing in AI-driven precision medicine and drug discovery. With over a decade of experience, she has built a distinguished career at the intersection of AI, bioinformatics, and translational medicine, driving innovative solutions through multi-omics integration, disease diagnostics, and drug repurposing. Her contributions have earned multiple prestigious awards nationally and internationally. She has published >70 articles, including those in top-tier journals of clinical, biological and computer sciences. Her leadership has been instrumental in securing over $20 million in research and industry funding.
Morteza Saberi is a Senior Lecturer (Associate Professor) at the School of Computer Science, UTS, Sydney, with expertise in business intelligence, data mining, and applied machine learning. His research focuses on enhancing societal-scale human-computer systems, particularly improving the feedback loop between machine learning outputs and human decisions. Dr. Saberiβs approach develops human-centric machine learning models to augment decision-making, using interdisciplinary techniques like optimization, large-scale data mining, and traditional machine learning. He has published over 230 papers in renowned journals and conferences, achieving over 6,100 citations and an h-index of 38. With more than 35 national and international research awards, Dr. Saberi has secured over $3.5M in research funding through collaborations with Australian industries. He has also worked at the UNSW Business School and visited prestigious research institutes in Germany. His research has led to conceptual innovations and technical advancements in optimizing machine learning for societal benefit.
Competitive Edge
Your company's competitive edge lies in several key strengths:
Advanced Real-Time Data Integration π¨π‘
Leveraging intelligent systems for instant data collection and analysis ensures rapid insights for timely decision-making.
Big Data Mastery ππ§
Expertise in processing vast, complex datasets provides actionable insights that improve transport efficiency and safety.
Custom Solutions for Unique Needs π§©π―
Tailored approaches meet the specific challenges faced by transport operators, authorities, and end-users.
Sustainability-Driven Innovation πΏπ
Focus on reducing congestion, optimizing routes, and promoting eco-friendly solutions aligns with global sustainability goals.
Industry Expertise with Practical Impact ποΈπ¦
Combining deep knowledge of transport systems with practical experience ensures impactful and reliable solutions.



INOWAYTION PTY LTD, Sydney Knowledge Hub, Level 2, Merewether Building H04, University of Sydney, NSW 2006


+61 4 51870400
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Inowaytion is an agile and specialized company in the field of logistics and transportation, which has created a new development in the road industry by using experts in the field of transportation, artificial intelligence and computers.

