Seeq Corporation is a privately held, fully virtual software company focused on industrial analytics, AI, and enterprise monitoring for process-industry organizations. Its SaaS platform helps teams work with time-series and related operational data to monitor assets and processes, investigate performance issues, and make faster, better-informed decisions across operations and the enterprise.
The company positions its platform around a progression from day-to-day analytics to enterprise-scale monitoring and decision intelligence. Seeq Corporation serves organizations that need to turn dispersed industrial data, expert knowledge, and operational context into repeatable insights that improve efficiency, reliability, quality, sustainability, and business performance.
Offerings, Capabilities, and Integrations
Seeq Corporation delivers a self-service industrial AI platform that combines advanced analytics, enterprise monitoring, collaboration, and decision support for operational data. Its capabilities span data cleansing and contextualization, pattern finding, anomaly investigation, predictive and machine learning workflows, auto-updating reporting, and exception-based monitoring for large fleets of assets and processes.
The platform is designed to work across cloud, on-premise, and mixed environments. Seeq Corporation connects to industrial historians, SQL and data lake environments, and other operational and enterprise data sources through connectors, APIs, SDKs, and Python-based workflows. It also supports integrations and partner-led deployments with AWS, Microsoft Azure, Databricks, and AVEVA to help customers unify IT and OT data and scale analytics securely across the enterprise.
Products and Services
- Seeq Analytics: Foundational subscription package for AI-enabled industrial analytics, giving teams access to operational data, collaborative analysis, reporting, and Python-based data science workflows.
- Seeq Enterprise: Enterprise package that extends Seeq Analytics with capabilities for scaling use cases, codifying best practices, and driving more consistent performance across assets, sites, and teams.
- Seeq Intelligence: Decision intelligence offering that builds on Seeq Enterprise with industrial AI agents, document-aware context, and agent extensibility to help organizations discover, prioritize, and act on high-impact decisions.
- Seeq AI Assistants: A set of AI assistants and agents for general guidance, formula creation, Data Lab coding support, and action execution to help users work faster and automate repetitive tasks.
- Seeq Data Connectivity: Connectivity layer that links Seeq to historians, cloud data services, SQL systems, and other industrial data sources through connectors, remote agents, APIs, SDKs, and the SPy Python library.
- Seeq for Pharma: Industry-tailored analytics and monitoring offering for pharmaceutical and life sciences operations, built to support GMP-regulated environments and data integrity requirements such as 21 CFR Part 11.
- Seeq Success Plans: Tiered customer success and support service with onboarding, deployment guidance, advisory services, training benefits, and premium support options.
- Seeq Workbench: Browser-based no-code and low-code analytics application for exploring, cleansing, modeling, visualizing, and diagnosing industrial time-series data.
- Seeq Organizer: Reporting and dashboard application for creating interactive, auto-updating reports, dashboards, and web pages that share analytics and insights across the organization.
- Seeq Data Lab: Browser-based Jupyter and Python environment for advanced analytics, machine learning, automation, and custom visualizations using Seeq data and APIs.
- Seeq Vantage: Enterprise monitoring application for exception-based surveillance, event triage, investigation workflows, and monitoring at scale across large numbers of assets and signals.
Target Customers
Seeq Corporation targets asset-intensive and process-industry organizations that generate large volumes of time-series and operational data and need to improve visibility, speed, and consistency in decision-making. Its customer base spans oil and gas, chemicals, pharmaceuticals and life sciences, mining and metals, power and utilities, food and beverage, semiconductors, and other manufacturing and process environments.
Within those organizations, Seeq Corporation serves engineers, analysts, operations and reliability teams, managers, IT and digital leaders, data scientists, and executives. The platform is especially relevant for companies pursuing digital transformation, enterprise monitoring, predictive maintenance, process optimization, quality improvement, sustainability initiatives, and cross-site scaling of analytics programs.
Cloud Integrations and Marketplace
- AWS Marketplace: Seeq Corporation offers Seeq Industrial Analytics & AI Suite through AWS Marketplace and supports integrations with AWS services such as Amazon S3, Amazon Redshift, and Amazon Timestream.
- Microsoft Azure Marketplace: Seeq Corporation offers Seeq Industrial Analytics Platform Suite through Microsoft Azure Marketplace and supports Azure services including Azure Data Lake, Azure Synapse, Azure Machine Learning, Azure Data Explorer, Power BI, and Active Directory.
- Databricks: Seeq Corporation integrates with Databricks to unify time-series, relational, and contextual data for industrial analytics, machine learning, reporting, and collaboration across IT and OT environments.
- AVEVA CONNECT: Seeq Corporation integrates with AVEVA CONNECT to combine industrial DataOps and operational analytics, helping customers access data in real time and develop insights across enterprise operations.
Key People
- Dr. Lisa Graham: CEO
- Pete Higgins: Chairman
- Mark Derbecker: Chief Product Officer
- Ray Scheppach: Chief Financial Officer
- Dustin Johnson: Chief Technology Officer
- George Skaryak: Chief Revenue Officer
- Megan Buntain: Chief Marketing & Strategy Officer
- Sarah Hoff: General Counsel
- Brian Parsonnet: Corporate Fellow & Founder
Key Facts
- Headquarters: Seattle, Washington, United States
- Employees: Approximately 250+
- Annual Revenue: Undisclosed
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: No (private company)
