About Seeq corporation
Seeq Corporation: Revolutionizing Industrial Analytics with Machine Learning
Seeq Corporation is a leading provider of advanced analytics software that leverages machine learning to provide trending, pattern recognition, and predictive analytics for time-series based process data. The company's innovative solutions are designed to help industrial organizations unlock the full potential of their data and gain valuable insights into their operations.
Founded in 2013 by a team of industry veterans, Seeq has quickly established itself as a trusted partner for companies across a wide range of industries, including oil and gas, pharmaceuticals, chemicals, utilities, and more. With its powerful software platform and deep expertise in industrial analytics, Seeq is helping organizations around the world drive operational efficiency, reduce costs, improve product quality and safety.
At the heart of Seeq's offering is its machine learning-powered advanced analytics software. This powerful platform enables users to easily connect to their process data sources – whether it be from historians like OSIsoft PI or Honeywell PHD or directly from sensors – and quickly analyze that data using advanced algorithms. With Seeq's intuitive interface and drag-and-drop tools for building custom analyses workflows users can easily create complex analyses without needing programming skills.
One key feature that sets Seeq apart from other industrial analytics solutions is its ability to handle large volumes of time-series based process data. This includes not only real-time streaming data but also historical archives containing years' worth of information. By leveraging machine learning algorithms such as clustering analysis or anomaly detection techniques on this vast amount of information users can identify patterns they would have never seen before.
Another unique aspect about Seeq's solution is how it handles contextualization - which means adding additional context around your raw sensor readings so you can better understand what happened during an event or why something occurred at a specific point in time. For example: if you're analyzing temperature readings from an oven during production runs you might want to add contextual information such as batch number or recipe name so you can see how different batches compare against each other over time.
Seeq also offers predictive capabilities through its built-in forecasting models which allow users to predict future trends based on historical patterns within their datasets - this helps them make informed decisions about future operations planning while minimizing risks associated with unexpected events like equipment failures or supply chain disruptions.
In addition to these core features Seeq provides several other tools designed specifically for industrial use cases such as asset optimization (e.g., predicting when equipment will fail), root cause analysis (e.g., identifying why certain processes are underperforming), energy management (e.g., optimizing energy usage across multiple sites) among others.
Overall there are many reasons why companies choose Seeq over other industrial analytics providers - some key benefits include:
- Easy-to-use interface: Users don't need programming skills or extensive training in order to start using the platform.
- Scalability: The solution scales up/down depending on your needs so you don't have any unnecessary overhead costs.
- Flexibility: You can connect any type/brand/model sensor/device/historian etc..to our platform without having compatibility issues.
- Speed & Performance: Our solution has been optimized for handling large volumes/time-series-based datasets allowing us deliver results faster than competitors.
- Predictive Capabilities: Our built-in forecasting models enable customers predict future trends based on historical patterns within their datasets
- Contextualization : We offer contextualization features which help customers better understand what happened during an event by adding additional context around raw sensor readings
In conclusion ,Seeqs' machine learning powered advanced analytics software provides trending,pattern recognition,and predictive analytics for time-series-based process data.This innovative solution helps organizations unlock the full potential of their operational data,gain valuable insights into their operations,and drive operational efficiency,reducing costs while improving product quality,safety,and sustainability.Seeqs' easy-to-use interface,fexibility,predictive capabilities,and scalability make it stand out among competitors,making it one-of-a-kind tool that every organization should consider adopting today!