FortressIQ develops software that uses computer vision and AI to discover, capture and analyze internal workflows and process data. The product began as a computer-vision tool for process discovery in the automation space but has shifted toward enabling broader internal transformations. Customers are leveraging the platform’s data and analytics to drive transformation strategies, improve training, and enhance experiences—often replacing costly consulting engagements. CEO Pankaj Chowdhry says automation frequently ends up being a small component of the improvements customers pursue with FortressIQ data. The company has 65 employees and recently closed a $30M Series B; PitchBook notes total capital raised is now almost $65M. Hiring plans are being reevaluated frequently due to economic uncertainty as the company focuses on building customer relationships and agility. FortressIQ builds an AI-driven process automation platform centered on imitation learning to replicate human behavior by observing desktop interactions. The product captures a low-bandwidth movie of a user's Windows desktop (not via a camera) through an agent that integrates into the video card and creates virtual processors. FortressIQ's computer-vision models transcribe those movies into sequences of software interactions. A data-mining layer identifies and filters out activities that are not part of the target process (for example, checking email or Slack). The company positions the product as a way to replace high-cost time-and-motion consultants and to augment RPA-style automation. The product will be offered as a cloud service; the company has raised $12M in a Series A and $16M in total funding to date.

Total raised

$42M

Funding rounds

2

Latest round

Series B

Latest activity

May 2020