
Tasq is a developer of an intelligent work management system that leverages machine learning and user feedback to automate work assignment and optimize workflows. The platform ingests various data types to identify work without manual exploration, enabling organizations to make informed decisions based on analytics and user inputs. Tasq's tools, such as Signal Search and Mass Classification, help prioritize tasks and eliminate operational bottlenecks, making it easier for teams to collaborate effectively. With a focus on performance tracking and decision intelligence, Tasq positions itself as a leader in the work management space, catering to organizations looking to enhance efficiency and productivity.

Tasq is a developer of an intelligent work management system that leverages machine learning and user feedback to automate work assignment and optimize workflows. The platform ingests various data types to identify work without manual exploration, enabling organizations to make informed decisions based on analytics and user inputs. Tasq's tools, such as Signal Search and Mass Classification, help prioritize tasks and eliminate operational bottlenecks, making it easier for teams to collaborate effectively. With a focus on performance tracking and decision intelligence, Tasq positions itself as a leader in the work management space, catering to organizations looking to enhance efficiency and productivity.
Core product: AI-driven work/task management and workflow automation platform
Industry focus: Oil & gas operations (time-series / operational data)
Founded: 2018 or 2019 (sources list both)
Headquarters: Denver, Colorado, United States
Total funding (public): 490,000 USD (last public figure)
Operational efficiency and decision intelligence for oil & gas field and engineering teams working with SCADA, artificial lift, production accounting, downtime, and well data.
Data and Analytics
490000
Last public funding date and total funding amount reported in company snapshot.