Industrial analytics and AI platform purpose-built for pharmaceutical process manufacturing, enabling engineers to rapidly achieve insights on production, quality, and asset data from time series data in near real-time.
Seeq is a unified industrial analytics and AI platform designed specifically for process manufacturing environments. The suite includes Seeq Workbench (core analytics application), Organizer (reporting/dashboards), Data Lab (Python/ML integration), AI Assistant (generative AI with 4 specialized agents), and Vantage (enterprise monitoring). The platform enables engineers, data scientists, and analysts to rapidly achieve insights on production, quality, and asset data by accessing, cleansing, and performing calculations on time series data in near real-time.
The platform connects directly to 50+ process historians, data lakes, and operational data sources (OSIsoft PI, Honeywell PHD, Emerson DeltaV, Aspen IP.21, and more) without requiring data migration or duplication, providing a virtual analytics layer over existing industrial data infrastructure and reducing time to value. A pharma-specific variant (Seeq for Pharma Analytics & AI Suite) launched in Q1 2025 with enhanced GxP compliance features, validation guidelines, and Analytics Change Management with locking and versioning capabilities.
Seeq emphasizes self-service analytics for subject matter experts, enabling plant engineers and quality professionals to perform advanced pattern recognition, anomaly detection, and predictive analytics without requiring data engineering resources. The platform supports 21 CFR Part 11 and GMP-compliant workflows with comprehensive audit trails and collaborative investigation tools.
Best suited for large enterprise pharmaceutical and biotech organizations with 200+ employees, 24/7 operations, multiple plant locations, and existing historian infrastructure. Notable pharmaceutical customers include Bristol-Myers Squibb, Sanofi, Eli Lilly, Regeneron, and Pfizer.
Pharmaceutical Edition
Seeq for Pharma Analytics & AI Suite launched Q1 2025 with enhanced GxP compliance, validation guidelines, and pharma-specific features
Core Capabilities
FDA & GxP Compliance
International Standards
Security Certifications
Data Integrity & Validation
Seeq offers flexible deployment options including cloud-based SaaS (primary/recommended since 2018), on-premise installation on Linux servers, and hybrid configurations supporting mixed environments. Cloud deployments are available on AWS (any availability zone, listed on AWS Marketplace) and Azure (Azure Marketplace since 2019, supports Azure Synapse, Azure Data Lake, and Active Directory for SSO). About half of customers use the SaaS deployment. Starting with release R59, some features are available only in the SaaS version.
The platform is web-based and accessible via browser with no installation required. It provides a comprehensive REST API for all platform capabilities, with SDKs programmatically derived from the API. Integration capabilities include connectivity to ERP, EAM, and MES systems (SAP HANA, Oracle, SQL Server), plus 40+ data source connectors for process historians, DCS, and SCADA systems from vendors including AVEVA, Aspentech, GE, Siemens, Honeywell, Emerson, Rockwell Automation, and ABB. The platform connects directly to OSIsoft PI, Honeywell PHD, Emerson DeltaV, and Aspen IP.21 without requiring data migration.
Starting price is $1,000–$1,200 per user per year, based on customer review sites. Enterprise custom pricing is available by contacting sales ([email protected]). Seeq uses a hybrid pricing model supporting both subscription (yearly or monthly) and perpetual licence options, structured per user across three tiers: Pro, Standard, and Light. The standard entitlement includes up to 100 Workbench users (15 Pro, 35 Standard, 50 Light).
Pricing information is also available through AWS and Azure Marketplace listings. A Seeq Success Plan is required with the licence. Product demos are available on request. Free trial availability is undisclosed. Estimated typical deal size ranges from $75K–$500K+ annually, based on marketplace listings and review sites.
Seeq implementation includes a required Seeq Success Plan bundled with the license, which provides implementation support and ongoing assistance. The platform is designed for rapid deployment with customers reporting "days vs months" for gaining insights from data according to vendor case studies.
The platform supports 40+ data sources including process historians, DCS, SCADA systems from multiple vendors (OSIsoft PI, Honeywell PHD, Emerson DeltaV, Aspen IP.21, etc.). REST API is available for automated data import and all platform functionality. For pharmaceutical customers, Seeq provides validation guidelines and validation-friendly upgrade processes designed to minimize re-validation efforts. The platform connects to legacy systems without requiring data migration, providing a virtual analytics layer over existing industrial data infrastructure.
Anonymous feedback from pharmaceutical professionals using this solution
4.6 out of 5
Based on 150 verified reviews
What Users Like
Users consistently highlight ease of access to disparate time-series data without ETL, the power of Capsules and Conditions for batch and event analytics, strong support for OSIsoft/AVEVA PI integration including Event Frames, and the Workbench UI's ability to enable process engineers to perform analyses without writing code. Quality of customer support scores 9.6 on G2, and real-time analytics scores 9.2. Pharma reviewers describe Seeq as effective for OEE monitoring and formula-based calculations.
What Users Dislike
Multiple users cite a Formula language learning curve and "complex usability" as the most frequent friction point (26 reviews mention complex usability, 18 mention difficult learning). Organizer visualization flexibility is reported as limited; one pharma reviewer flagged "many limitations for publishable dashboard visualization" (Verified reviewer, G2). On-prem, non-cloud installs reportedly suffer from slow data loading. Audit trail does not cover Workbench worksheet edits, Organizer document content, journal entries, comments, exports, or date-range changes — requiring procedural overlay for full Part 11 evidence.
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