Seeq

What it does

Seeq is an advanced analytics platform for process industries - enabling engineers, data scientists, and reliability teams to analyze time-series operational data from historians, IoT sensors, and process systems to drive efficiency, quality, and sustainability improvements. AI capabilities include ML-powered anomaly detection that identifies process deviations and equipment abnormalities from historical operational patterns, AI correlation analysis that surfaces relationships between process variables and quality or efficiency outcomes, intelligent pattern recognition that finds recurring operational signatures associated with failures or suboptimal performance, predictive quality models that forecast product quality from process conditions before lab results arrive, automated root cause analysis that traces process deviations to upstream causes, and AI-generated investigation summaries that explain identified anomalies in plain language.

Strengths

• Mid-market process manufacturers and energy companies use Seeq for operational analytics - AI anomaly detection enabling engineers to find efficiency improvements without data science expertise.
• Large oil and gas, chemical, and power companies use Seeq for enterprise process analytics - AI insights across massive historian data enabling continuous improvement programs.
• Seeq is an advanced analytics platform for process industries - enabling engineers, data scientists, and reliability teams to analyze time-series operational data from historians, IoT sensors, and process systems to drive efficiency, quality, and sustainability improvements.

Watch-outs

• AspenTech and OSIsoft PI Analytics compete for process analytics market: AspenTech and OSIsoft (AVEVA) offer competing process industry analytics — process manufacturers should compare integration with existing historian infrastructure and AI analytics depth.
• Requires time-series historian data infrastructure: Seeq delivers most value from well-connected process historian data — plants with fragmented or poor-quality historian data need data infrastructure investment before analytics value is realized.
• Process analytics expertise still required for complex analyses: Seeq accelerates process analysis but complex root cause analysis and model building still require domain expertise — the platform reduces but does not eliminate the need for experienced process engineers.

Pricing

Seeq pricing based on server connections and users. Not published. Mid-market and enterprise contracts negotiated. Annual contracts.