Who are Seeq?

If your plant, refinery, or production line is sitting on years of historian data that nobody has time to dig into, Seeq is one of the names that comes up most often in industrial analytics conversations. The Seattle-based vendor has built its entire business around making time series data from process manufacturing usable, without forcing engineers to become data scientists first. For IT and OT leaders weighing up how to get more value from existing historian investments, Seeq is a vendor worth understanding properly before any shortlist gets drawn up.

Viewpoint Analysis is a Technology Matchmaker, helping businesses to quickly find and select new enterprise technology. Our aim is to be the place enterprise buyers go to understand the software and technology market before speaking to vendors. Read on to learn more about Seeq.

Who Are Seeq?

Seeq was founded in 2013 and is headquartered in Seattle, Washington. The company operates as a privately held business with employees working remotely across the United States, Canada, Europe, Asia, and South America.

Today, Seeq is led by Dr. Lisa Graham as Chief Executive Officer. The business has grown from a niche analytics tool for process engineers into what it now describes as an industrial AI platform, serving customers across oil and gas, chemicals, pharmaceuticals, mining, food and beverage, semiconductors, and power and utilities.

What Does Seeq Do?

Seeq builds software that connects to industrial data historians (systems such as AVEVA PI, Honeywell Uniformance, GE Proficy, and AspenTech IP.21) and turns the time series data held inside them into something an engineer or operations leader can actually use. Rather than replacing those historians, Seeq sits on top of them, applying analytics, machine learning, and now AI agents to data that often goes unexamined for years.

The core experience is built around Seeq Workbench, a browser based workspace where subject matter experts can search across data sources, build calculations, spot patterns, and capture findings without writing code. Seeq Organizer turns those investigations into shareable reports and dashboards that stay linked to live data, so a report built once continues to update as new data comes in.

What sets Seeq apart from a typical data technology platform is its focus on the subject matter expert rather than the data scientist. The product is built so a process engineer who understands the plant, but does not necessarily understand SQL or Python, can still get to an answer quickly. That said, Seeq does also offer a coding environment, Seeq Data Lab, plus a REST API and SDKs for Python, MATLAB, C#, and Java, for teams that want to go further.

More recently, Seeq has pushed further into AI with the launch of Seeq Intelligence, an agentic layer that sits above the existing analytics stack. Its flagship feature, Agent Q, is positioned as a natural language AI analyst that can investigate operational questions by drawing on real time data, institutional knowledge, and prior analyses, rather than requiring an engineer to set up every query manually.

Seeq Technology Areas

Seeq organises its platform into three packages, which broadly reflect how far along the analytics journey a buyer wants to go. The product and solution areas worth knowing are:

Seeq Analytics. The entry package, giving subject matter experts self-service access to historian data with AI-enabled analytics, visualisation, and search tools.

Seeq Enterprise. Builds on Analytics to scale insights and best practice across multiple sites, assets, and teams rather than keeping them siloed with individual engineers.

Seeq Intelligence. The newest tier, adding agentic AI capabilities including Agent Q, plus tools for building and connecting custom AI agents to other enterprise systems.

Seeq for Pharma. A GxP-ready analytics and AI suite built specifically for validated environments in pharmaceutical and life sciences manufacturing.

Deployment and connectivity. Seeq is available on-premise, on AWS, Microsoft Azure, or in mixed environments, with native integrations for Databricks and AVEVA among others.

Buyers exploring this market more broadly may find it useful to review our wider Data Technology coverage, which looks at the data and analytics landscape beyond any single vendor.

Seeq Alternatives

The industrial analytics market that Seeq operates in is more crowded than it was a decade ago, but the field of genuinely comparable, time series first platforms remains relatively small. Most buyers comparing Seeq end up looking at a mix of specialist time series tools and the broader data and AI platforms that have moved into the same space.

TrendMiner. A Proemion company based in Belgium, TrendMiner is generally considered Seeq's closest direct competitor, also built around self-service time series analytics for process manufacturers, with particularly strong integrations into Honeywell and AspenTech historians.

Cognite. A Norwegian founded industrial AI and data contextualisation platform that takes a broader infrastructure first approach, aiming to unify and structure industrial data across systems rather than focusing primarily on analyst-led investigation.

dataPARC. An established player in process manufacturing visualisation and analytics, dataPARC's PARCview product competes most directly with Seeq in plants that are comparing self-service toolkits for engineers rather than full enterprise AI platforms.

AVEVA (PI Vision and related tools). As the company behind the PI System that many Seeq customers already run, AVEVA offers its own visualisation and analytics layer, which some buyers will weigh against adding a third party tool like Seeq on top.

If you are exploring the data technology market and want to understand who else you should be considering alongside Seeq, the Viewpoint Analysis Longlist Builder is a good place to start. Answer a few questions about your requirements and we will come back with a comprehensive report covering all the vendors worth considering for your shortlist.

If you are at the stage of running a formal selection process, the Enterprise Software Selection Playbook covers how to review the market and run a professional evaluation to find the right option for your organisation's needs.

Seeq Customer Examples

Seeq has built a customer base that spans some of the largest names in process manufacturing, energy, and life sciences. The following examples are drawn from Seeq's own published customer materials and press releases, and give a sense of how different industries are putting the platform to use.

Eli Lilly and Company. The pharmaceutical manufacturer was recognised by Seeq for its work applying enterprise monitoring and generative AI to standardise and automate its Asset Quality Management process across manufacturing sites.

Merck. Merck has used Seeq Advanced Analytics together with Industrial Enterprise Monitoring to build an Overall Equipment Effectiveness solution, supporting real time visibility and reduced downtime as part of a wider Manufacturing Process Intelligence initiative.

Indorama Ventures. The chemicals manufacturer has taken an organisation-wide approach to Seeq adoption, scaling data science deployment across sites through phased rollouts and structured change management, and was named Seeq's Customer of the Year in 2025.

Equinor. The Norwegian energy company entered into a multi-year commercial agreement with Seeq, reflecting its use of the platform across upstream and energy operations as part of a broader digital transformation push.

Suggested Next Steps

Further reading. If you want to understand the wider data technology landscape before going further with any individual vendor, the Viewpoint Analysis Data Technology page covers the market in detail, including the different categories, key vendors, and what to look for when evaluating your options. You may also want to look at our Manufacturing Industry page for lots of ideas relating to the manufacturing technology space.

Build your initial longlist. Not sure who else you should be considering alongside Seeq? The Viewpoint Analysis Longlist Builder asks you a few questions about your organisation and requirements, and we come back with a comprehensive report covering all the vendors worth putting on your list. It is a straightforward way to make sure you are not missing a strong option before you start shortlisting.

Have your selected vendors come and pitch to you - take a look at our Technology Matchmaker where we'll bring the leading technology vendors to pitch their ideas to you. It's a super-quick way to learn what's on the market before shortlisting them.

Run a quick selection process. If you are ready to move to a formal evaluation, the Viewpoint Analysis 30-Day Technology Selection service takes you from a standing start to a preferred vendor decision in a single month. It combines the best of our Rapid RFI and Rapid RFP processes, and we run the whole thing for you, writing the brief, managing vendor engagement, and guiding your team to a scored, defensible decision.

Speak to Viewpoint Analysis. If you would like to talk through your requirement and understand how we can help, request a call and one of our team will be in touch.

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If you represent Seeq and would like to have this profile "Vendor Verified", please get in touch with us at contactus@viewpointanalysis.com