“Our mission is to deliver world-leading Artificial Intelligence solutions which help our customers to grow exponentially, operate efficiently, and build competitive advantage.”
“Our vision is to transform organisations by making them highly reactive, smarter and driven by data so that they are ready to thrive in the age of Artificial Intelligence.”
Having consulted with a number of the world’s leading corporate and government organisations, Kale leverages expertise in data science and machine learning to architect solutions that empower business performance and growth.
Since 2014, he has co-founded and scaled two successful technology start-ups and as Data Scientist & Consultant at Agile BI, played a key role in building the business from the ground up into a world-leading Microsoft Power BI Partner.
As Managing Director of Intellify, Iman brings over 20 years’ experience in Data Analytics and Business Intelligence. He has successfully delivered projects for various organisations throughout financial services, retail, manufacturing, health, real estate, and the public sector.
Iman seeks to make Intellify a successful AWS Partner in the areas of AI and Machine Learning, leveraging experience gained through building his previous company – a strategic Microsoft Gold Partner.
Nikzad has worked as a data scientist and software engineer in many well-known companies and start-ups in Europe and Australia for over 8 years. He has applied expertise in various aspects of data science to impact organisations by implementing new services and optimising available applications.
Nikzad holds a PhD in Computer Science from Sydney University. He was awarded Google Australia’s Best Publication prize in 2011 for his work in energy efficiency in high-performance computing systems.
Director of Operations at Intellify, Matt has more than ten years’ experience in Project, Program, and Portfolio management in IT and finance industries with large corporate and government organisations like AMP, Woolworths, Transport for NSW, NBN Co. and Nokia.
Matt is Project Management Professional (PMP) certified and an MBA candidate through the University of NSW.
Aria has over 5 years of experience working in Data Science strategy roles with companies such as Commonwealth Bank and McKinsey & Company. She holds a Bachelor’s degree in Mathematics from the University of NSW.
Amin has over 15 years of experience in data science, mathematics, and computer vision, working with companies including Unico and GAIN LINE Analytics. He holds a PhD in Machine Learning from Deakin University
Ammar has over 15 years of experience in Data Science, computing, and research, working with companies including Xtracta and Lendi. He holds a PhD in Particle Swarm Optimisation from MMU.
Richard has over 18 years of experience in Data Science, IT, and statistics, working with companies including Vodafone, NBN co., and News Corp. He holds a Master’s degree in Theoretical Statistics from the University of Sydney and is currently undertaking his PhD.
Our focus is on delivering solutions that add real business value to your company. This means that the impact of our solutions is measurable, delivering tangible benefits in weeks, not years, and maximises your ROI.
We are Artificial Intelligence specialists first and foremost. All our consultants have years of industry experience in delivering data science and machine learning projects in addition to strong technical degrees in computer science, statistics, and IT. They are experts in translational data science – they understand your business, your business’ language, and the specific AI solutions that will deliver you the best results.
Our solutions are built on the latest, most sophisticated cloud technologies and algorithms. As an AWS partner, we leverage their cloud services so that your business can receive all the benefits of the cloud: cost efficiency, scalability, flexibility, manageability, and security; in addition to those provided by our specialised artificial intelligence solutions.
Every single project leverages Intellify’s Intellectual Property and delivery frameworks, resulting in less time spent on project set-up and low-value tasks. This means more time on developing tailored, value-adding solutions – ensuring your business gets the best possible outcome.
A large number of Data Science and AI projects have poor success rates. Simply because they lack a strong framework tying together skilled data scientists, business subject matter experts, advanced technology, workflow considerations, and productionisation strategies. Intellify has developed a proprietary methodology – the Data Science Success Framework – to overcome these issues and ensure the best possible outcome. Designed to connect your business problems to our state of the art solutions, the Data Science Success Framework has resulted in increased project success rates and solution adoption with our clients.