Tap into the rich potential of your asset and process data with easy operational deployment for stream, time series and ML analytics.
Automatically transform raw sensor data into relevant business metrics, in real-time
Time Series Analytics
Analyse historical records of asset metrics, to uncover patterns and predict future behavior.
Host your trained ML Model
Bring your own machine learning models and put them to work in the low-code Waylay platform
Amplify your team's proven domain expertise across trillions of live data points. Waylay's automation technology provides a low-code approach to apply expert knowledge and heuristics across large sets of data. Aimed at subject matter experts, non-data experts, power business users.
Processing single metrics of formula processing several data points from water pumps and other sensors, to assess the water level of rivers in real time and send early flood hazard notification to operators.
Leverage state-of-the-art algorithms to learn new insights from your big data.
Waylay's time series analytics supports state-of-the-art statistical modelling algorithms, with the unique ability to automatically select the best models for a given training set. Aimed at subject matter experts, data & non-data experts.
Multivariate analysis of energy consumption data from appliances and HVAC equipment, that is stored in the Waylay time series database. The data is used for modelling energy consumption baselines per building site, in order to improve anomaly-based energy use alerts.
Bring your own machine learning models and put them to work in the low-code Waylay platform.
Waylay's automation technology provides a low-code approach to host your trained model or interface with your ML framework of choice. Aimed at data scientists and data engineers.
Train a visual inspection model in TensorFlow (or other ML framework) based on assembly line camera feeds and execute it in Waylay. Executing the ML model with Waylay unlocks powerful value-added features, such as creating automation & integration workflows based on the ML model and changing the business logic at any time without having to retrain the model.
Our team of data engineers and data scientists can help you get started with your data strategy, to ensure that you get the most business value from your data.
Together we will:
- Define your asset data utilization strategy
- Set-up the technical architecture to enable it
- Kick off the implementation to see it in action
ML Ops operationalizes machine learning algorithms with Waylay rules engine
IoT data from connected products provide business value in real-time and offline
Training and integrating a visual ML model within an IoT data automation workflow
Use case for time series analytics, set of statistical methods to analyse time-series data