We employ artificial intelligence and machine learning techniques to build data-driven platforms that stand out in personalisation, optimisation and innovation. All our work rests at the intersection of the science and art of inquiry, creativity and empathy.
SMART CITY MOBILITY-AS-A-SERVICE PLATFORM (Singapore)
ADDO AI leads a highly strategic and innovative project on mobility-as-a-service for SMRT, Singapore's largest public transportation provider. The ADDO AI engineers and AI experts are developing an AI-based urban mobility solution that would allow residents to search, book and pay for any multi-modal journey through a single user-friendly smartphone application. The complex platform requires integration with many different mobility providers including bike-sharing, buses, trains, e-scooters and autonomous vehicles, and machine learning enables the platform to provide personalised mobility recommendations to commuters, and to recommend infrastructure changes in response to demand prediction.
FINTECH REMITTANCES PLATFORM (Singapore)
ADDO AI is helping our client develop an innovative remittances platform, integrated with a growing eco-system of payments, authentication, compliance and reconciliation partners, that provides foreign workers with the ability to easily receive and make salary and payments via a mobile e-wallet. Machine learning will then be utilised to analyse the data generated by the platform to predict transaction patterns in order to provide customised offers to each worker. The World Bank estimates that migrants will send up to US$636 billion home in 2017, with three quarter of that amount being remitted to developing countries.
MOBILITY PATTERNS AND BEHAVIOUR (Award winning work in collaboration with Urban Institute, Washington DC)
Dr. Faisal Kamiran, ADDO AI President, won the World Bank innovation award worth $100,000 in Spring 2017 for his innovative work (conducted in collaboration with Urban Institute, Washington DC) on the identification of hotspots for harassment of women in public transport.The award is part of competitive funds totalling $1.14 million distributed among 10 teams from around the world.
CITIZEN SERVICES (Dubai)
ADDO AI was selected to work with Smart Dubai and Dubai Futures Accelerator to develop an AI-powered platform that improves the speed and quality of citizen services by personalising services and anticipating citizen services and needs. The platform uses a mixture of Collaborative Filtering, Deep Learning and Adaptive learning to enhance the accuracy of personalised recommendations.
REAL-ESTATE OPTIMISATION (Singapore)
ADDO AI is strategic advisor to one of Singapore's leading real-estate startups to use technology and data analytics to support its regional expansion across Asia. Optimisation strategies include maximising revenue per square foot by analysing occupancy using historical data, iOT, and contextual information and training a neural network to predict occupancy patterns and develop strategies to increase revenue. The strategy relies on converting every part of the real-estate, operations processes and client behaviour as data points that can be used to personalise offerings on the internal services platform, offering customers seamless services when and where they need it.
UNBIASED LEGAL POLICY MAKING (Netherlands)
The ADDO AI leadership devised a constraint based novel data mining model to undermine the social discrimination against certain sensitive groups, such as females, blacks and minorities within society. The model was put forth for unbiased policy making by the law enforcement agencies. The developed techniques are deployed in The Dutch Department of Justice (WODC) and The Dutch Central Bureau of Statistics (CBS). His proposed solution was taken up by the international data mining community (including from Microsoft USA, Harvard University, University of Toronto, Kyoto University and University of Pisa) who are building upon the research.
HEALTHCARE MANGEMENT (USA)
The ADDO AI team is working on a US hospital resource management project to optimise hospital staffing problem based on predicting patient demand. By collecting, analysing and preprocessing resource occupancy data, staffing predictions are generation based on techniques like Bayesian tIme series analysis, Facebook prophet, Lesso regression and Vector autoregressive model are used for predictions.
SMART POLICING (Pakistan)
A team of ADDO AI data scientists collaborated with the Punjab Information Technology Board in an effort create mechanisms to predict and contain crime in Lahore. Crime data from every police station in Lahore’s seven district divisions was mapped and analyzed in spatial and temporal dimensions. The crime data mining provided actionable feedback to local law enforcement agencies to improve crime-prevention measures. The details can be found here.
DISEASE OUTBREAK PREDICTION (Pakistan)
The ADDO AI team worked on a disease surveillance system. This involved the collection and analysis of real time information such as weather data from Meteorological Department, disease outbreak data from Health Department, and health care data from hospitals and threshold constants values from domain experts across the Punjab province. Prediction patterns were published in ICDMW and underscored the influence of variables such as literacy rate on health outcomes.