AI Solutions
Our unique AI solutions offer real-time continuous predictive capabilities that are able to significantly increase your business output using data-driven strategies. Our AI solutions are highly scalable and hence could be used in small low-power devices such as embedded IoT devices or large high-power devices such as electric motor controllers for on-site remote data analysis.
Engineers in Microbit Solutions have more than 15 years of experience in developing customized AI solutions for various domains. Our strong theoretical foundation on machine learning algorithms allows us to code machine learning algorithms from scratch to solve your complex problems. While we are able to offer AI software that are commonly available in the market, we encourage you to let us study your data and problem. Based on the studies, we are able to offer unique AI solutions specifically for your problem for increased performance. We then embed this AI solution in a user-friendly software to provide you with a complete monitoring or automated solution. We have the expertise to package the AI software with advanced sensors and IoT solutions to form a complete Internet of Things ecosystem.
From machine learning, to computer vision, to natural language processing (NLP), to forecasting and optimization, our AI technologies support diverse environments and high scalability to meet changing business needs.
Current Business Applications
Microbit Solutions provides AI solutions integrated in cost-effective hardware in but not limited to the following types of businesses.
By predicting the intensity of the solar irradiance, we are able to maximise solar energy harvesting to optimise the use of solar energy against the use of electricity from the main power source.
Using data from our state-of-the-art sensor networks, we are able to accurately forecast failures in industrial pipelines to optimise maintenance regimes and minimise service disruptions.
We use computer science knowledge to study the variations in linguistics. This allows us to automate information retrieval, machine translation, sentiment analysis, information extraction and question answering. >
Our machine learning algorithm is able to accurately predict the load demand based on the driving cycles of electric vehicles, power cycles of electrical grids and also power consumption in factories to allow the deployment of secondary energy storage system such as supercapacitors to reduce total power stress on the main electric power supply.