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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

From Crowdsourcing to Intelligence: How EPWK Is Rebuilding the Creative Platform with AI

By: Get News

EPWK (NASDAQ: EPWK), a China-based digital creative services platform, is moving beyond traditional crowdsourcing by embedding AI across its service infrastructure. What started as a transaction-driven marketplace is now evolving into a smart, automated ecosystem.

Rethinking Crowdsourcing Through AI

The old model of online creative outsourcing—manual selection, vague briefs, and keyword-based matching—was increasingly inefficient. EPWK identified this bottleneck early and began integrating AI to improve how tasks and talent connect.

With natural language processing and deep learning models at its core, EPWK’s “AI Assistant” helps employers define clear project requirements through multi-turn dialogue, and estimates budgets based on historical data. On the supply side, AI recommends projects to freelancers based on skills, past jobs, and client ratings—effectively acting as a digital agent that boosts visibility for qualified creators.

AI-Driven Tools and Patented Matching Systems

EPWK has built a patented task recommendation system that models relationships between freelancers, tasks, and tags to generate accurate, personalised project matches. A second patent improves cold-start performance, allowing new users to receive meaningful recommendations from day one.

These tools reduce friction, accelerate decision-making, and surface the right opportunities to the right people—making the platform more responsive and efficient at scale.

Invisible Automation at Work

Beyond matching, AI also supports platform-wide operations:

• Risk Monitoring: AI models detect fraud, spam bidding, and other suspicious behaviours by analysing transaction and message data.

• Smart Support: AI-powered bots resolve common user queries, freeing human agents to handle more complex issues.

• Analytics: System-wide data is continuously analysed to inform strategic planning, user training, and product development.

Toward a Smarter Creative Ecosystem

EPWK now operates less like a marketplace and more like a semi-autonomous network—where AI matches tasks, flags risk, refines pricing, and supports creative collaboration at scale. The company is already exploring next-step innovations like AI-based project supervision, on-demand virtual team assembly, and immersive creative environments.

By combining technical infrastructure with applied machine learning, EPWK aims to build the next-generation operating system for the creative economy—one that is scalable, secure, and insight-driven.

P.S.: EPWK is operated by Xiamen EPWK Network Technology Co., Ltd., a national high-tech enterprise in China and a Nasdaq-listed company (EPWK) as of February 6, 2025. It has 179 tech achievements (including 137 software copyrights) and 17 patent applications (9 granted). The company is recognized as a leader in digital crowdsourcing infrastructure and a key player in China’s creative economy.

Media Contact
Company Name: EPWK
Contact Person: Investor Relations
Email: Send Email
Country: China
Website: www.epwk.com

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