For this Company Spotlight, we interviewed Tasq’s Co-Founder and Chief Executive Officer (Wes Hamer). Tasq connects machine learning & user feedback to automate work identification, create decision intelligence, and optimize workflow across all roles to level up industry operations. For more information on Tasq, please visit www.tasq.io.

Background: Before co-founding Tasq in 2019, Wes Hamer spent over a decade working in oil and gas production operations where he developed, evaluated, and implemented technologies to optimize production. During that time, most of the products available were point solutions that were difficult to implement and integrate, which made it hard to get buy-in from end users since they were spending more time inputting/recording data into multiple platforms. Tasq was founded because the industry needed an intelligent task management system that ties those various datasets and workflows together.

Value Proposition: Tasq’s “operating system for operations” provides the following unique features and benefits to its customers:

Ease of Integration: Tasq’s holistic platform is typically implemented across an organization in days rather than weeks/months. It transforms into SCADA and/or other time series data streams and displaces multiple verticals/systems by embedding intelligence across verticals.
Automated Work Distribution: Tasq’s intelligent system applies asset specific models to automate the distribution of daily work across multiple roles, enabling tasks to be routed to the best person/team in the organization to execute them.
Seamless Reporting: Rather than asking end users to input data, Tasq documents and tracks work automatically while learning from users’ behaviors, which enables end users to spend most of their time solving problems.
Intelligent Recommendations: Tasq makes better recommendations based on user input learnings, whether its setpoint adjustments or preventative maintenance. Over the last few years, Tasq has helped customers achieve ~90% success rate of identifying underperforming wells that once incorporating Tasq’s recommendations increased baseline production by at least 10-20%.

Closing Thoughts: Artificial intelligence technologies will need to play a larger role in operations to drive increased profitability for the industry. Planning to launch a prompted, generative AI feature in the coming months, Tasq is continuing to push the industry towards more intelligent and automated operations and its vision for an eventual production-as-a-service model.

Company Spotlights

May 2023