Streem.ai is ready to help anyone facing the daunting task of monitoring large amounts of time-series data. It acts as a magnifying glass for domain experts, reducing manual data inspection efforts to allow more time for root cause analysis. Streem’s technology helps manufacturers get complex products to market faster and with fewer defects, augmenting domain knowledge with artificial intelligence to locate the earliest indicators of future product failures.
Our vision is to help professionals such as engineers, domain experts, and analysts working with large amounts of data to make better decisions, quickly and easily, and empower humans through smart algorithms. Our intelligent anomaly detection tool maximizes data insights for engineers, analysts, and managers, enabling them to make fast and informed decisions. The overall objectives of the project are to further develop our product and technology, with a focus on scalability and reliability, and begin early commercialization within the manufacturing sector.
Streem.ai’s technology differentiation is its high performance and accuracy along with its ability to learn and continuously improve over time automatically. Our proprietary self-learning algorithm and ability to operationalize ML at scale for almost 70% of the sensory data in manufacturing enable us to quickly onboard customers in less than two weeks. The solution distinguished itself from existing solutions through the following:
Works with unlabelled data (majority of the data in manufacturing is unlabelled)
Designed specifically for domain experts without the need of having a data scientist in the loop. This is a huge benefit to SMEs who do not have in-house data scientists
Customers get their first insights within a week’s time with the system gradually improving over time. Typically, AI systems take months to be deployed
Seamlessly scales across use cases within an organisation making it easy for customers to rely on a unified solution
