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Seeq

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Overview

Seeq helps industrial teams analyze time-series data, predict equipment failure, and catch quality issues before they become costly. Although its Organizer reporting has some alignment issues that may require improvement. Still, its search tool lets an engineer find the exact sensor they need, instead of digging through a long, unsorted list.

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Starting Price
$1,200

per user per year

Seeq Specifications

  • Quality Control
  • Equipment Maintenance
  • Real-Time Monitoring
  • Compliance Management

What Is Seeq?

Seeq is an analytics platform built for industrial time-series data. It connects to plant historians and relational databases without duplicating data, then lets engineers investigate that data visually through Workbench and turn findings into auto-updating reports through Organizer, so patterns and process issues surface without a separate BI tool. It is commonly used in industries such as chemicals, oil and gas, pharmaceuticals, food and beverage, energy, mining, manufacturing, and other asset-heavy operations.

What Is Seeq Best For?

Seeq's standout feature is Capsule Time, which instantly isolates specific operational events from years of continuous sensor data and overlays them on a single chart for direct comparison. It eliminates the need for engineers to manually search through massive spreadsheets to find and align past equipment failures or production runs. This feature delivers the highest value to process engineers comparing production batches, reliability engineers predicting equipment failures, and plant managers pulling instant compliance audits.

How Much Does Seeq Cost?

Seeq pricing is estimated to start at $1,200/user/year, according to industry benchmarks. This basic tier may include core features like data analysis, predictive analytics, and support.

Beyond the base subscription, industrial organizations should also budget for implementation and rollout costs:

  • Onboarding And Implementation: $25,000–$100,000 for an initial plant, up to $100,000–$250,000+ for a complex deployment, covering architecture, security review, and historian connectivity
  • Data-Source Integration: $10,000–$40,000 per additional source, or $40,000–$150,000 for a multi-source project, for connecting historians, DCS, SCADA, or cloud systems
  • Multi-Site Or Enterprise Rollout: $100,000–$500,000+ in services, potentially exceeding $1 million for a highly standardized global program, covering deployment across multiple plants
  • Staff And Administrator Training: $5,000–$25,000 for a focused team, up to $25,000–$75,000+ for multi-role or multi-site training
  • Ongoing Management: $30,000–$150,000 per year in internal labor and external support, higher at enterprise scale

Reviewers generally describe Seeq's cost as high, particularly for smaller sites or teams with limited use cases, noting that value depends on generating enough independent use cases to justify the annual spend. Several users, however, feel the software pays for itself through time saved and process efficiency gains, especially at enterprise scale.

Contact us for a custom Seeq cost quote.

Disclaimer: Pricing references are based on publicly available third-party information and industry benchmarks. Actual costs may vary.

Seeq Integrations

The vendor integrates with major cloud and data-platform providers, including:

How Does Seeq Work?

Here's how you can access the platform and start using its features:

  • Log in and connect data sources like historians, SQL databases, or cloud storage, set up by your IT/admin
  • Search for the data you need and click to add it directly to a trend in Workbench
  • Visualize, cleanse, and prepare the data using built-in tools for contextualization and gridding
  • Ask the Seeq AI Assistant to help identify insights, build formulas, or generate Python code faster
  • Deploy Python scripts or no-code machine learning Add-ons in Data Lab for deeper analysis
  • Compile your findings into auto-updating reports and dashboards using Organizer
  • Manage users, permissions, and administer data access as needed
  • Share dashboards and reports with colleagues to collaborate on findings, anytime and anywhere
You can also schedule a free Seeq demo to explore its full functionalities.

Who Is Seeq For?

It serves organizations across a range of industries and sectors, including:

  • Oil and gas
  • Chemicals and petrochemicals
  • Pharma and life sciences
  • Mining, metals, and materials
  • Power and utilities
  • Food and beverage
  • Semiconductors

Seeq Use Cases

Based on our analysis of Seeq's features and platform capabilities, we have identified key scenarios where this software could be a strong fit for:

Reliability Teams Predicting Equipment Failure Before It Happens

Heavy industrial equipment (like pumps, turbines, and compressors) degrades over time. Traditional maintenance relies on fixed schedules or waiting until a catastrophic failure happens, both of which cost companies millions in unexpected downtime and repairs. The software spots failures before they happen. It scans live vibration and temperature sensor data, detects early friction anomalies, and triggers proactive maintenance alerts to prevent total shutdowns.

Quality Teams Catching A Bad Batch Before It's Finished

Seeq analyzes historical batch data to flag conditions that typically cause poor quality, giving teams a heads-up while a batch is still running. In batch manufacturing, quality is usually not confirmed until near the end, so by the time a batch fails its test, the company has already spent the time, materials, and energy making it. Catching the warning signs early means a team can step in and adjust the process instead of reworking or scrapping the batch afterward.

Sustainability Teams Preparing For Environmental Compliance Audits

Industrial plants face strict environmental regulations requiring them to document and minimize greenhouse gas emissions, waste, and energy consumption. Manually collecting, aligning, and calculating emission spikes across countless smokestacks or water outlets takes weeks of stressful work before a regulatory audit. Seeq converts raw environmental sensor data into automated compliance reports and identifies defined pollutant detector exceedance events. It can calculate estimated pollutant concentrations and total mass released during an exceedance, then update Organizer reports with the results for review and reporting to management or regulatory agencies.

Process-Control Engineers Verifying A Change Actually Worked

Seeq finds comparable operating periods and measures performance before and after a change, so an engineer can see the real effect a control adjustment had. A process-control engineer might tweak a control loop to cut variation or save energy, but operating conditions shift day to day regardless, so a simple before-and-after look can't tell whether an improvement came from the tweak itself or from a different raw material that day. Seeq may help in closing this gap.

Is Seeq Right For You?

Seeq may be the right fit for organizations running industrial operations that already collect operational data but struggle to turn it into answers on quality, reliability, or energy problems.

The software undergoes continuous, third-party security audits to maintain advanced certifications. This includes SOC 2 Type II compliance (verifying data safety protocols over several months), ISO 27001 (information security management systems), and Germany's high-standard C5 certification.

Still not sure if Seeq software is the right choice for you? Contact us at (661) 384-7070, and our team will help you decide based on your requirements.

Seeq Features

Seeq Cortex

Seeq Cortex is the data-integration layer of the Seeq platform. It connects Seeq with industrial data sources such as plant historians, enterprise time-series systems, and other operational data systems. It also manages the metadata that helps users understand what each data signal represents. This can be valuable for industrial data teams, IT teams, OT teams, and engineers who need to access operational data from several plant systems.

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Seeq Organizer

The software has a collaborative application used to assemble and distribute analytics into web pages, dynamic reports, and dashboards. It allows teams to insert live charts or scoreboard metrics directly from the Workbench. The data remains fully connected to the source, automatically updates, and allows users to shift time ranges on the fly.

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Seeq Workbench

Seeq Workbench is Seeq’s main analysis application for engineers. It is a browser-based tool where users can visualize time-series data, clean and prepare data, identify periods of interest, create calculations, compare operating conditions, and build simple predictive models. Seeq classifies it as a no-code or low-code analytics tool.

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Seeq Data Lab

Seeq Data Lab is Seeq’s Python and JupyterLab environment. It gives data scientists, engineers, and analysts a place to write Python notebooks, use Seeq’s API and SPy library, pull data from Seeq, create custom visualizations, automate analysis, and develop more advanced analytics or machine-learning work. It can be particularly useful when no-code analysis is not enough and the organization needs custom automation, specialized charts, or more advanced statistical work.

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Seeq AI Assistant

The platform has an integrated feature that embeds conversational generative AI capabilities into the core platform workflow. It translates everyday natural language into complex mathematical queries, provides instant diagnostic suggestions, and accelerates the generation of analytics. This may benefit engineers, operations teams, and industrial data professionals who need to investigate data faster but still require human process knowledge to validate findings and decide what action to take.

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Seeq Vantage

Seeq Vantage is the platform's enterprise monitoring capability, built for organizations that need to track exceptions across hundreds of assets rather than analyze one signal at a time. It uses no-code configuration, letting users define their own search criteria, schedule frequency, and which properties to include. Then the software centralizes deviations into one dashboard that teams can triage, investigate, and document without switching tools.

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Pros And Cons of Seeq

Pros

  • Fast analysis and insight generation from time-series data

  • Asset tree simplifies quick search and logical grouping

  • AI Assistant enables prompt-based analysis without coding

  • User-friendly interface with strong training resources

  • Effective for real-time monitoring and investigations

Cons

  • Data retrieval can be slow with certain historians

  • Full-granularity pulls can extend data load times

  • Occasional timeouts during large data queries

Seeq Reviews

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Frequently Asked Questions

What other apps does Seeq integrate with?

Seeq integrates with AWS, Microsoft Azure, Databricks, AVEVA, and Redshift.

What level of support does Seeq offer?

Seeq offers support through phone and online channels.

What language does Seeq support?

Seeq’s user interface supports a wide array of languages, including English, German, French, Japanese, Spanish, Portuguese, Korean, Italian, and Mandarin.

Who are the typical users of Seeq?

Typical users of Seeq include organizations in oil and gas, chemicals, pharma, mining, power, and food and beverage.

Does Seeq offer an API?

Yes, Seeq offers a REST API.

Does Seeq have a mobile app?

The vendor has not confirmed a dedicated mobile app

What types of Seeq price plans are available?

Seeq pricing is estimated to start at $1,200 per year per user, based on industry benchmarks, since actual pricing is custom and quote-based. Contact us for a custom Seeq price quote.