ProcessMiner AI Platform

Organization
ProcessMiner · United States
Solution Type
Platform
Collaboration
Business Collaboration (Joint Venture)

1. Technology overview

ProcessMiner is an Atlanta-based provider of AI for continuous manufacturing, according to an April 2026 funding announcement. It addresses quality variation, waste and energy use in process lines such as paper and pulp.

The platform predicts quality every 30 seconds from existing plant data and recommends setpoint adjustments, with modules for a PM AI Agent, PM Studio, TrialMiner, root cause analysis and autonomous optimization. It connects read-only to plant data, accepts lab results from LIMS, spreadsheets or paper logs, and the AI agent can run on-premises. Customers shown include International Paper, Smurfit Westrock and Georgia-Pacific.

2. Highlighted features & specifications

  • Real-time prediction: predicts quality every 30 seconds from plant data.
  • PM AI Agent: recommends setpoint adjustments and can run on-premises.
  • Root cause analysis: identifies drivers of quality variation.
  • TrialMiner: supports analysis of process trials.
  • PM Studio: lets teams build and manage models.
  • Autonomous optimization: moves from recommendations to closed-loop setpoint control.

3. Potential application

Vietnamese paper and packaging mills could reduce chemical usage and quality variation. Food and beverage or wastewater operators could apply setpoint optimization to cut energy cost.

4. Benefits

Predicts quality continuously from existing plant data without new sensors on the data side. A paper-line case study on the site cites 25% less chemistry, 23% less quality variation and about USD 1M savings over 12 months (vendor-reported). Free data health assessment and first pilot conversation. Supports on-premises operation of the AI agent.

6. Other information

Atlanta-based. First external seed round announced 28 April 2026 led by Titanium Innovation Investments (amount undisclosed). CEO Karim Pourak. Plans expansion into food and beverage, non-wovens, chemicals and wastewater.

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