What we do
As AI and machine learning rapidly evolves it’s more important than ever to have an AI partner on your side. Based in Perth, Western Australia, September AI is a consultancy and AI product prototyping and building lab that works with clients to discover, plan and execute their full AI potential.
Create the advantage
We match business strategy with data science to create competitive advantage for our clients.
Every point your business leverages technology is an opportunity to be intelligent. With continuously more, high volume data available in the world there are constantly new opportunities to create giant leaps for business. We’re passionate about turning business technology into sensing, comprehending, automating, acting and learning systems that give them a competitive advantage.
We’ll help you navigate and realise the potential of your data.
- Data cleansing and enrichment
- Alerts and recommendations that matter
- Proactive optimisation of multiple target objectives
- Find trends and insights for market advantage
- Predict market, environment, customer changes
- Predictive maintenance, sales, agri-yield
Strategy and deployment
- Generative AI Models specialised to your business functions
- Models and information reside within your organisation
- Automated pipelines for data labelling
- Optimal business integration strategies
- Data-driven discovery of new application potential
We have a range of experience across different sectors, industries, and applications which allows us to provide tailored advice and help organisations realize the full power of Generative AI.
Our Innovations in Medicine
September AI Labs have developed a method of identify circulating tumour cells in blood in collaboration with Edith Cowan University.
See the big picture with AI
Our strategy and data science team work with key touch points across your business to identify opportunities to radically enhance your ability to lead your category, in line with your business strategy.
AI Strategy will identify both short and long term opportunities while pinpointing milestones to achieve each. High-impact opportunities will be identified for exploration with supporting business cases
Data Science and AI Lab
Rapidly prototype the machine
Our expert data science team led by Dr Fedja Hadzic conceptualise advanced machine learning models that run extensive experiments to discover the best possible prototype to present a proof of concept. We then train the machine to be the most intelligent and precise version of itself as possible.
The models that power our machine learning solutions ultimately underpin the final AI product.
Bring artificial intelligence to life
We engineer the final model to integrate through a REST API or user interface application, or work directly with clients to advise of best practice in-house implementation. Our models are built with constant feedback loops enabling continuous optimisation of ongoing business processes in ever changing environments.
We use a variety of class-leading technologies and custom data science solution, with fit-for-purpose application to machine and tech-stack needs.
Our leadership team believe that the most powerful breakthroughs come through a continuous process of growth and innovation. We work relentlessly to discover better ways to capitalise on the organizational data and, through application of intelligent computer technologies, arrive at insights and strategies to improve business performance, increase business profitability, advance corporate profile, and even transform and revolutionise the way businesses run and operate.
Dr Fedja Hadzic
Chief Scientist and Managing Director
Fedja specialises in advanced machine learning and data science. As an academic he contributed to the field of AI with over 50 peer-reviewed international publications including the first authored book by Springer for mining of data with complex structures. He has also been awarded the Chancellors commendation for his PHD thesis being of outstanding quality (only top 3-4% qualify for such an award). He has over 17 years of experience in research and commercial applications of machine learning and data analysis as Lead Data Scientist and Chief Scientist. He has managed data science and machine learning projects at all stages, including business use case and AI strategy definition, solution conceptualization, implementation, and deployment. This experience ranges across many domains including mining and resources, energy, agriculture, transportation, finance, telecommunications, medicine and sciences, seismic study, sports science, education, and recruitment.
Research and Innovation Officer
Maya has a multi-disciplinary background that includes information systems, business, science, medical, and health domains. She completed PhD in Health Information Systems at Curtin University in 2006. Since then, Maya has worked on multiple projects, successfully developing relevant and targeted solutions, and translating research into practice. Maya’s role is usually mediating between domain experts and computer scientists who design applications and generate code to enable improved streaming of business operations. She has over 50 publications, most of which are published in highly ranked and reputable publishers. She has presented her work at many national and international conferences and chaired subcommittees for international conferences on Information Processing, Digital Ecosystems, and Computer-Based Medical Systems. Maya lectures at Sheridan Institute of Higher Education in Research and Information Systems and is also an active member of many benevolent initiatives.
Our team experience
Our team share the collective experience of high-impact solutions across small to medium enterprise clients. They have led projects ranging from recruitment automation, optimising resource yield in mining, predicting mechanical failure in industrial machinery, optimising medical treatment, detecting fraud in employee expenses, and many more.