Sold by: Seeq
Unlock operational clarity, accelerate enterprise impact, and sustain competitive advantage with 21 CFR Part 11-aligned, GMP-ready, validation-friendly analytics and AI.
4.6
Overview
Seeq for Pharma is an advanced manufacturing intelligence platform purpose-built to help pharmaceutical organizations unlock the full value of their industrial data. Designed for analyzing time-series data across a wide range of sources -- including process historians, LIMS, MES, and data lakes-- Seeq empowers teams to visualize, cleanse, contextualize, and model operational data at scale. Its intuitive, low-code interface allows subject matter experts (SMEs) to develop sophisticated analytics, monitor processes in near real-time, and generate automated reports and dashboards without requiring extensive IT support.
At its core, the Seeq for Pharma Suite is developed with Good Manufacturing Practice (GMP) compliance in mind. It ensures full alignment with 21 CFR Part 11 by offering secure, traceable, and auditable analytics workflows. Data integrity is preserved by relying on the existing validated data sources as single source of truth. It also features granular user access controls, versioning, and a complete audit trail of changes to analyses and permission -- making it a reliable and regulatory-friendly solution for the highly controlled pharmaceutical environment.
Seeq's flexible architecture supports a wide range of life sciences manufacturing use cases, including process development, tech transfer, clinical and commercial production, and ongoing continuous improvement efforts. Its capabilities span from CPP identification and process optimization to predictive modeling, quality assurance, and asset performance monitoring. By enabling real-time anomaly detection and root cause analysis, Seeq helps organizations reduce deviations, increase yield, and make faster, more informed decisions across the entire product lifecycle.
One of the defining features of the platform is its ability to operationalize data science and machine learning models within GMP-compliant workflows. Teams can scale their insights across assets and sites, apply advanced calculations, and integrate external analytics or BI tools. Whether it's supporting batch reporting, optimizing OEE, or enabling predictive maintenance, Seeq provides a unified environment for engineering, MSAT, TechOps, and digital teams to collaborate effectively.
To learn more about how to accelerate your digital journey and to schedule a demo, visit Seeq.com.
To request information on Seeq pricing, custom pricing or EULA, please contact Seeq at info@seeq.com .
Highlights
- Built with GxP requirements in mind. Seeq for Pharma Analytics & AI suite is specifically designed to respond to the need s of pharmaceutical organizations operating under strict regulatory environment. Capabilities, product features and software update mechanisms are designed to facilitate the validation of both the platform and the data analytics built within it.
- Seamless Data Access. Break down data silos and access the data you thought may never see the light of day. Connecting Seeq to your disparate data sources and systems is fast and easy. Whether they are on-premises, in the cloud, or both, data will be flowing in hours, not months or years. And we never move or copy the data, so your system of record and data governance programs remain authoritative.
- Open & Extensible. Seeq provides a built-in Python environment to enable you to take your analyses to the next level. Create custom calculations and visualizations, augment your data, share your data with other BI tools, and feed ML and AI workflows with cleansed, contextualized, and accessible data. Seeq provides extreme analytics flexibility but can also be utilized to build very structured solutions for data-driven workflows management.
Details
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Deployed on AWS
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Support
Vendor support
Industry Knowledge and Enablement Expertise. The majority of Seeq team members come from industry and are intimately familiar with the opportunities and challenges of digital transformation at scale. Our world-class enablement team has worked with over 60,000 users worldwide, and our Seeq Analytics Engineers (AEs) and Customer Success Managers (CSMs) are there to support your team every step of the way.
Seeq Community website for discussions on analytics use cases and best practices: https://www.seeq.org , Seeq Knowledge Base for troubleshooting and how-to articles: https://seeq12.atlassian.net/wiki/spaces/KB/overview , Seeq University for recent webinars and training videos: https://www.youtube.com/seeqcorporation , Create a support ticket with Seeq by emailing support@seeq.com . https://seeq.atlassian.net/servicedesk/customer/portal/3
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Simon T.
Seeq Accelerates Digital Transformation and Transforms Business Processes
Reviewed on Dec 08, 2025
Review provided by G2
What do you like best about the product?
Seeq is very helpful when it comes to transforming data into actionable insights which ensures fast and accurate decision making. With the tool, we have greatly enhanced our processes and improved our business outcomes.
I like how effective Seeq is when it comes to accelerating digital transformations which ensures a real-time view of our operations.
By improving our business processes, Seeq helps us boost our ROI and general performance.
I like how effective Seeq is when it comes to accelerating digital transformations which ensures a real-time view of our operations.
By improving our business processes, Seeq helps us boost our ROI and general performance.
What do you dislike about the product?
Seeq has all the amazing features and handles analytics and intelligence really well.
What problems is the product solving and how is that benefiting you?
We have been using Seeq for predictive analytics and as an IoT analytics platform and it has delivered. It makes it easy to enhance our processes and we get helpful insights that aids in proper decision making.
Oil & Energy
Flexible and Comprehensive, But Requires Some Learning
Reviewed on Oct 24, 2025
Review provided by G2
What do you like best about the product?
Flexibility and comprehensive tool options.
What do you dislike about the product?
A bit of a learning curve which makes it difficult for adoption
What problems is the product solving and how is that benefiting you?
Presenting data to help Resolving operational anomalies
Mechanical or Industrial Engineering
Great for Data Interaction, Challenging to Scale and Add Context
Reviewed on Oct 23, 2025
Review provided by G2
What do you like best about the product?
See and interact with data, quickly understand issues form seeing multiple signals at once
What do you dislike about the product?
Hard to scale analysis, hard to add contextual information
What problems is the product solving and how is that benefiting you?
Downtime
Paper & Forest Products
Chicago Summit
Reviewed on Sep 24, 2025
Review provided by G2
What do you like best about the product?
The AI agents and the future possibility of using Copilot to tap into those agents
What do you dislike about the product?
It does some things that we already do in other systems, so not sure we have the right use cases to make the investment for this software.
What problems is the product solving and how is that benefiting you?
I’m not using Seeq yet
Manufacturing
Seeq summit review
Reviewed on Sep 23, 2025
Review provided by G2
What do you like best about the product?
Pull the data from the signal is a piece of cake. I need the visual. Seeing all data in the same time series. A lot of useful features and haven’t found something that doesn’t make any sense. The AI tool is great. Seeq listens to customers feedback and inputs.
What do you dislike about the product?
The formula function is powerful but hard to master. The AI tool sometimes takes me into the rabbit hole. Not sure I need to know all the information.
What problems is the product solving and how is that benefiting you?
Process control