Case studies
Red Marble AI helps businesses all over Australia use Artificial Intelligence to enhance the capabilities of their people and elevate their productivity. Scroll down to see examples of our work and artificial intelligence being used across many industries.
Using AI to increase project profitability
Hyper Personalisation | Prediction | Conversation and Language | Recognition
ASX50 company Downer simplified work, saved time, improved the way that their infrastructure projects are run and increased profitability using an intelligent, professional AI assistant for Supervisors and Engineers.
A virtual assistant for every field worker
Hyper Personalisation | Prediction | Conversation and Language
Oceana Gold, a global mining company, improved the productivity of its maintenance field workers with a natural language AI interface which helps review and close work orders, check stock, make reservations, and raise safety events.
Responding to COVID-19 through AI
Recognition | Prediction | Outlier Detection
We built the AI backbone behind Proximity Pal, Australia’s 1st integrated software & hardware to enable companies to to help their workers obey social distancing requirements easily and cost-effectively.
Improved customer value through AI
Prediction
Webjet is Australia’s leading, multi-award winning, online travel agency. We worked with the Webjet team to develop a machine learning model which is now deployed across their online platform to improve market share and increase customer value.
Delivering rapid improvement with Coca-Cola Amatil
Conversation and Language
Red Marble and Microsoft worked together to help Coca-Cola Amatil’s team make an existing internal natural language interface more human-centric, increasing adoption and opening the Coca-Cola Amatil team up to a new possibilities.
Helping kids learn how to read
Recognition | Prediction
Children that have difficulty learning to read are at a higher risk of experiencing disadvantage in later life. We worked with BookBot to develop an AI voice recogniser to recognise children’s developing speech on a mobile phone.