v3.22.2.2
Description of Business and Organization
9 Months Ended
Sep. 30, 2022
Organization, Consolidation and Presentation of Financial Statements [Abstract]  
Description of Business and Organization Description of Business and Organization
TaskUs, Inc. (“TaskUs” and, together with its subsidiaries, the “Company,” “we,” “us” or “our”) was formed by investment funds affiliated with Blackstone Inc. (“Blackstone”) as a vehicle for the acquisition of TaskUs Holdings, Inc. (“TaskUs Holdings”) on October 1, 2018 (the “Blackstone Acquisition”). Prior to the Blackstone Acquisition, TaskUs had no operations and TaskUs Holdings operated as a standalone entity. TaskUs, Inc. was incorporated in Delaware in July 2018, and is headquartered in New Braunfels, Texas.
The Company is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. The Company's global, omni-channel delivery model is focused on providing its clients three key services - Digital Customer Experience, Content Security and Artificial Intelligence (“AI”) Services (formerly known as AI Operations). The Company has designed its platform to enable it to rapidly scale and benefit from its clients’ growth. Through its agile and responsive operational model, the Company delivers services from multiple delivery sites that span globally from the United States, Philippines, and other parts of the world.
The Company’s major service offerings are described in more detail below:
Digital Customer Experience: Principally consists of omni-channel customer care services primarily delivered through digital (non-voice) channels.
Content Security: Principally consists of review and disposition of user and advertiser generated content for purposes which include removal or labeling of policy violating, offensive or misleading content.
AI Services: Principally consists of data labeling, annotation and transcription services performed for the purpose of training and tuning AI algorithms through the process of machine learning.