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| Description | ||||
| Summary | Industrial analytics, ML, and AI platform for time-series operational data used by process engineers and manufacturing/industrial organizations. | |||
| Description | Seeq provides time-series data analytics, ML/AI packages, AI Assistants, and industrial process analytics to help engineers investigate operational data and improve efficiency, quality, and sustainability. | |||
| Positioning | Advanced analytics, ML & AI for time-series data | |||
| Key facts | ||||
| HQ location | Seattle, WA, USA | |||
| Founded | 2013 | |||
| Employee range | 201-500 | |||
| Company type | Private | |||
| Pricing model | custom quote, licensing open source, subscription | |||
| Last updated | Jun 21, 2026 | |||
| Financials | ||||
| Revenue estimate | Unknown / undisclosed | |||
| Valuation estimate | Unknown | |||
| Investments | Unknown / undisclosed | |||
| Relationships | ||||
| Target customers | Process engineers, reliability teams, data scientists, and industrial operations teams | |||
| Key competitors | AspenTech, TrendMiner, C3 AI, Databricks, AVEVA, Braincube | |||
| Known customers | Industrial, energy, chemicals, pharma, and manufacturing customers; named logos vary by region | |||
| Segments & Industries | ||||
| Segments | AI Workflows, AI Agents, AI Developer Tools, LLM Deployment, Traditional ML, AI Governance & Risk, Analytics & BI | |||
| Industries | Industrial / Manufacturing | |||