Advanced Analytics for Process Manufacturing Data

The pressure on process manufacturing organizations to improve production results is increasing in every industry.

  • Intuitive, Visual, Innovative
  • Fast, Flexible, Collabrative
  • Accelerated Insights, Improved Outcomes
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What is Seeq?


Seeq is the first application dedicated to process data analytics. Search your data, add context, cleanse, model, find patterns, establish boundaries, monitor assets, collaborate in real time, and interact with time series data like never before.


Whatever your process historian or operational data system of record – the OSIsoft® PI System®, Honeywell's Uniformance® PHD, Emerson DeltaV and Ovation, Inductive Automation's Ignition, AspenTech IP.21, Wonderware, GE Proficy or any other – Seeq can connect and get you working in minutes.


Review the modern day Seeq assets to help you get started with the key concepts, features, and talents of Seeq. New sources are frequently added along side new function releases and feedback from users.

Experience the Techcurve Advance SEEQ platform for yourself

Accelerated Insights, Improved Outcomes

In the current hype around predictive analytics, system learning, and statistics science, what’s lacking are solutions to the actual challenges to an analytics-driven organization. Tapping the know-how of your current employees. Support for collaboration and knowledge seize to foster sharing and reuse of analytics efforts. And the potential to unexpectedly distribute insights to the humans who want them to quickly enhance outcomes. Seeq addresses all of these issues, and more, to your organization. Seeq packages permit the complete lifecycle of advanced analytics, from first connecting to statistics to landing insights in advanced commercial enterprise and manufacturing results.

Finally, advanced analytics software that truly understands process manufacturing data.

With Seeq, you and your team can rapidly investigate and share analyses from operations and manufacturing data sources to find insights and answer questions. Designed specifically for analyzing process data, Seeq works across all verticals with time series data in historians or other storage platforms.

Leveraging innovations in big data, machine learning, and web technologies, Seeq delivers easy to use features for your users and supports all phases of analytics from cleansing to reporting.

Accelerate continuous improvement in your organization with Seeq.

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Connect to all of your data

Easily integrate data from multiple historians including Honeywell PHD, and GE Proficy, as well as the PI System and relational data from SQL Server, Oracle, and MySQL. Whether it's on premises or in the cloud, Seeq connects to all of your data without moving or copying, so your single source of truth remains the same. Access and combine disparate data sets without writing code. Business improvement begins with data analysis. Get more value from your data with Seeq.

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Flexible and extensible

Install in a matter of minutes, on premise, in the cloud, or accessed as a SaaS application. Built for scale. Security, manageability, and scalability to adapt with your organizations growth and usage. Extensible with third party products and customization through a REST API and multiple SDKs (Java, C#, etc.).

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The pressure on process manufacturing organizations to improve production results is increasing in every industry.

Improving yield, quality, and safety metrics. Savings in energy and resource consumption. Asset uptime, availability, and optimization. Employee productivity, knowledge capture, and collaboration. Increased KPIs for execution, excellence, and efficiency. Higher margins, ROI, and profitability.

At the same time there are three constants that “better” results consistently share. The pursuit of improved results, however defined, never ends. The need to find insights more quickly and make decisions sooner, only increases. And whatever the question, the desired insight is buried in an abundant and growing quantity of collected data.

Better results, sooner, through insight into data. This is what Seeq is doing for customers in industries including oil & gas, specialty chemicals, pharmaceutical, and utilities, with new customers and industries being added every month.

Uses for Seeq in different verticals vary, but what doesn’t change is that Seeq delivers improved production results, faster insights, and a fast ROI.


"Seeq enables us to accurately identify batches and batch phases so we can rapidly analyze and aggregate quality data to improve process outcomes."


"Seeq provides everything we need for rapid root cause analytics, remote monitoring, and optimized preventative maintenance on data being sent from our assets at oil and gas production sites."


"I was surprised that during the demo we connected to one of my systems and I immediately spotted a critical issue and needed to postpone the rest of the meeting."


"Seeq enables us to rapidly integrate data from multiple historians, and contextualize it with maintenance data from SQL Server, so we get higher haul truck availability through smarter preventative maintenance."


"Visual Search enables us to search find important phases directly in the process data much more accurately and reliably than using data from the execution system. We can then quickly tie those phases to important quality and yield metrics and related independent variables."


"Seeq has delivered sophisticated analytics allowing us to see how critical processes are running. And a data scientist is not required!"


"With no IT support, our Reliability and Quality engineers can use Seeq’s visual analytics capabilities to rapidly investigate any production issue, although the real win is the time savings in creating and sharing results."


"We were so happy to see a feature set that gives us an easy and accelerated way to do cycle time analysis that we subscribed within days of our first meeting with Seeq."


"I’ve been waiting 20 years for someone to deliver a user interface where I can quickly scale and arrange data to enable us to easily see important correlations."