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Top 2 Process Mining Software Companies With $10M–$100M Revenue (November 2026)

As of November 2026, Latka tracks 2 process mining software companies with $10M–$100M in annual revenue. They have combined revenues of $66.8M and employ 607 people.

Every company below sells process mining software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Process Mining Software Companies do

Process mining software is a specialized tool that provides organizations with the ability to visualize, analyze, and optimize their business processes based on real data. By extracting event logs from various IT systems, these tools reconstruct workflows and identify inefficiencies or bottlenecks within them. This data-driven approach allows businesses to gain insight into their operations, leading to improved decision-making and process transparency. Typical use cases for process mining software span multiple industries and include applications for process improvement, compliance management, and performance monitoring. Common features include process visualization, conformance checking, root cause analysis, and predictive analytics. The primary users of this software often encompass roles in operations, IT, and business analysis, looking to enhance productivity and streamline workflows while ensuring adherence to standards and regulations.

Companies
2
Revenue
$66.8M
Funding
-
Employees
607

Filters

Sorting: Highest -> Lowest

Filters

Top Process Mining Software Companies With $10M–$100M Revenue

Showing 2 of 2 companies ranked by annual revenue.

1Soroco logo
Soroco

Boston, Massachusetts, United States

Soroco is on a mission to change how the world gets work done. Powered by multiple patents, its flagship product, the Scout AI model, generates a work graph - a map of hidden pains teams experience at work and their impact on business outcomes. Today, this graph drives productivity improvements in 100s of organizations globally, including several Fortune 500 companies. Soroco has been featured in Harvard Business Review, Forbes, Fortune, and was listed on Bloomberg’s list of ideas that defined 2022. With operations spanning Boston, London, and Bangalore, Soroco was founded by alumni of Harvard, MIT, and Carnegie Mellon. Visit www.soroco.com to learn more.

Revenue
$44.6M
Year founded
2014
Team size
405
2Skan AI logo
Skan AI

Menlo Park, California, United States

Skan AI is the enterprise system of record for work intelligence, powering AI agents trained on operational reality, not documentation, system logs, or assumptions. We capture how work actually happens across your entire application stack, translating human intelligence and intent into the ground truth data AI agents need to handle your unique enterprise complexity autonomously.

Revenue
$22.2M
Year founded
2018
Team size
202

Frequently asked questions about Process Mining Software Companies With $10M–$100M Revenue

How many process mining software companies with $10M–$100M in annual revenue are there?

Latka tracks 2 process mining software companies with $10M–$100M in annual revenue. Together they generate $66.8M in annual revenue and employ 607 people.

Which process mining software company with $10M–$100M in annual revenue is the largest?

Soroco is the largest, with $44.6M in annual revenue, founded in 2014.

How much revenue does a typical process mining software company with $10M–$100M in annual revenue make?

The average process mining software company in this list makes $33.4M a year, across 2 companies with reported revenue.

Who are the leading Process Mining software vendors with $10M–$100M in annual revenue?

Ranked by annual revenue, the leaders are Soroco and Skan AI.

Related IT Management Software categories

Inclusion Criteria

- Products must analyze event logs from IT systems to reconstruct business processes. - Must offer visualization tools to represent processes graphically. - Products should include features for identifying process bottlenecks and inefficiencies. - Must provide analytics capabilities for continuous process improvement. - Not just data storage solutions; must actively analyze and provide insights into process performance.