Central to LYTT’s standard platform offering, our platform core: stores historical and real-time data collected from IoT devices and high-fidelity sensors, integrates data from 3rd-party and EDGE data sources and allows users to search, retrieve, and visualise data sets. Our platform core also integrates with LYTT sensor fusion and model deployment features is highly scalable to meet changing demands, and resilient, which ensures high availability. Deploy across multiple clouds and on-prem.
Combine data from multiple sensors and sources to provide a more accurate and complete understanding of your systems and processes. Utilize sensor fusion to enable highly accurate and reliable model predictions and unlock more powerful insights.
LYTT's platform allows customers to deploy their existing, pre-trained models on top of the Platform Core. Realize cost savings and decrease time to market by utilizing the LYTT Platform’s existing model deployment capabilities.
Complete the data science life cycle on top of the LYTT's AI platform. Access training data, build and deploy models within LYTT's integrated data science environment. The fastest way to move from initial data exploration to deploying production-ready models with actionable insights for high-fidelity sensors.
Enables users to extract more value from their IoT data by integrating software applications or services developed by third-party vendors into LYTT's AI platform. This includes applications and services related to data analysis, visualization, digital twins, and asset automation.
Improve model accuracy and strengthen performance with continual learning. Automatically feed manually labelled data back into your machine learning pipeline to retrain models and improve predictive accuracy.
LYTT’s edge computing solution intelligently extracts the key features from sources like distributed acoustic sensing (DAS) and distributed temperature sensing (DTS) data streams within seconds, reducing the volume of data by 1,000 times - without compromising quality
spotLYTT™ is LYTT Platform’s bespoke user-friendly data visualization dashboard. It takes the data gathered by our patented, field-proven analytics tools and turns it into contextualized insights via a single, intuitive dashboard. It gives you the freedom to visualize and analyze relevant data in real-time for faster, more informed decision making.
Choose from a range of pre-built connectors to quickly and easily connect IoT applications and devices with LYTT's AI platform. Integrate with a wide range of external software systems for data analysis and visualization. Feed data and insights from the platform into digital twins and asset automation systems.
Real-time processing engine. Respond to events in real-time. Route sensors from multiple different sources to the appropriate models.
As thought leaders, LYTT has published numerous papers highlighting our subject matter expertise and demonstrating our innovative and proven technology in action.
Distributed acoustic sensing (DAS) technology essentially turns a fiber optic cable into a long microphone, making it possible to track different sounds, such as oil, gas or sand moving in a well from the reservoir all the way to the surface.
However, DAS produces an extraordinary amount of data. For example, a single hydrocarbon well can generate 100 million data points every second. That’s like streaming 1,000 full movies every hour. Until now, it has been difficult for operators to convert this data into useful insights in a timely manner. But our data analytics solutions are changing all that.
Distributed temperature sensing (DTS) uses fiber optic cable to continuously record temperature. DTS is particularly useful in certain operational environments where temperature can affect operational decisions.
DTS has proven challenging to operators, as it has traditionally taken them a long time to interpret. Our data analytics tools and solutions make light work of this, collecting, processing and analysing DTS in real time.