PerformaMatch Launches Data-Driven Casting Platform to Expand Opportunities for Performing Artists

England, UK, July 17th, 2026, FinanceWire

PerformaMatch is modernizing the discovery process for new talent through an integrated ecosystem that leverages matching technology and career development tools.

PerformaMatch has introduced a new data-driven platform to modernize how performing artists and casting directors connect online. The platform matches artists with opportunities by analyzing both their professional skills and performance videos, while automated workflows streamline discovery and applications.

It represents a major shift away from the old-school, manual, often inefficient approaches that have historically caused the industry to struggle. 

How It Works

PerformaMatch consolidates the discovery process through the use of recommendation systems, intelligent image analysis, and automated matching, thus acting as a singular digital platform that aims to solve a pain point that has challenged the entertainment industry for decades: the fragmentation that actors, dancers, and other industry professionals often face when they seek to connect with opportunities. 

In the past, the casting industry has relied on manual submission processes prone to delays and oversight. PerformaMatch takes a different approach, pairing personalized matching that reads both an artist’s skills and performance videos with an automation layer that handles the repetitive work of discovery and applications. The result surfaces talent for roles that genuinely fit their craft, rather than whoever happens to submit first.

Where the platform departs most sharply from traditional tools is in what happens after the match. Conventional job boards stop at the listing, offering little help with the material that actually wins roles. PerformaMatch provides self-tape support, headshot guidance, and audition-specific coaching followed by professional training recommendations, giving artists practical assistance at the exact points where opportunities are usually won or lost. Together, these capabilities streamline administrative work on both sides of the casting table while building a more focused environment for talent and professional growth, one that aims to level the playing field for artists who have historically lacked access.

PerformaMatch was founded by Nuoya Li, a technology leader and performing artist who designed the platform around frictions she experienced firsthand in the casting process. A graduate of Brown and Columbia, she is driven by a belief in using data science for good, finding creative and meaningful ways to support fellow artists.

A Multitude of Resources for Better Career Development

One of the most important components of the new platform is a suite of tools intended to help artists manage their professional career development. This includes analytical insights that highlight market trends, as well as profile assessments built into the platform to help performers sharpen their online presence. 

The platform also provides access to personalized audition coaching and career guidance, offering a more comprehensive approach to professional advancement than relying solely on traditional job boards. 

The various enhancements are built on the idea that the entertainment landscape should be more level and generate better discovery. And by offering data-driven matching, PerformaMatch seeks to elevate talent while lowering the traditional barriers that can often limit access for otherwise qualified performers.

Founder Nuoya’s Latest Dance Shakira-inspired Performance, “Algo Tu”

Company Operation and Advisory Oversight

Currently, PerformaMatch is scaling its operations to meet its users’ needs, while also establishing a board of advisors to oversee its product strategy and platform infrastructure. Its advisory board consists of professionals with backgrounds in advanced technology and management consulting, including several from both Meta and McKinsey & Company. 

The company has also entered an official partnership with the Data Science Institute at Brown University, bringing academic research expertise to bear on its matching technology and platform development.

Along with the new platform release, the company is currently in discussions with various entities across the performing arts community to expand the range of roles and creative collaborations available on the platform. Its early partnerships reflect that broader mission. PerformaMatch has partnered with Fred Astaire Dance Studios and American Liberty Ballet, relationships that point to the company’s interest in serving art forms that often sit outside the commercial mainstream. 

While many casting platforms focus on the highest-volume or most commercially visible corners of the entertainment industry, PerformaMatch is also building for classical dance, ballet, independent film, and other disciplines that have historically received less support from technology platforms and funding networks. By extending data-driven matching tools and visibility to those communities, the company aims to broaden access to discovery opportunities and support the long-term sustainability of less commercially driven art forms.

Ultimately, the company aims to create a steady stream of diverse opportunities for its registered users. The focus will remain on better serving artists, expanding opportunities, and, ultimately, improving casting efficiency. 

For more information about PerformaMatch, users can visit www.performamatch.com. 

About PerformaMatch:

PerformaMatch is a data-driven casting and opportunity-matching platform that helps performing artists find auditions, gigs, and creative collaborations suited to their craft, experience, and aspirations. Serving actors, dancers, singers, and multidisciplinary performers, it pairs intelligent matching with career-building tools in a single ecosystem. Smart insights guide each artist toward the right opportunities, while automated workflows handle the manual work of discovery and applications. The company’s mission is to make casting more equitable, so talent is discovered on merit.

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