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XL8 Inc.
XL8 Inc. was founded in 2019 by Tim Jung and Jeff Shih, both engineers shaped by the competitive South Korean technology sector, with the explicit aim of...
XL8 Inc.
XL8 Inc. was founded in 2019 by Tim Jung and Jeff Shih, both engineers shaped by the competitive South Korean technology sector, with the explicit aim of reengineering how video content crosses language barriers. The firm operates from San Jose, California, with deep Seoul-based engineering roots that define its cost structure and R&D cadence. Rather than selling a broad enterprise AI suite, XL8 focused on a single, high-volume pain point: media localization at scale. The firm's core product, EventCAT, is a proprietary machine translation engine trained specifically on subtitling and closed-caption data, covering over 80 languages. XL8's technology pipeline targets three interlocking asset classes—pure-play AI/ML intellectual property, enterprise SaaS via its MediaCAT subtitling platform, and a data licensing business built on its curated parallel corpora. Publicly confirmed integrations include a long-running supply agreement with Iyuno, the world's largest dubbing and subtitling vendor, and a 2021 deployment inside Cineverse's Matchpoint platform. The firm operates across North America and East Asia, with engineering in Seoul and go-to-market in San Jose. The company's dual-country structure mimics that of several successful AI-translation exits, housing code in South Korea while selling to US entertainment giants. XL8 landed a $5.6 million Series A in November 2020 led by KB Investment and MY Social Company, bringing total disclosed funding to roughly $8 million by that date (per TechCrunch, 2020). Recent activity includes an expansion of the Cineverse partnership announced in late 2023 to automate Spanish-language metadata tagging across a library of tens of thousands of titles. XL8's structural differentiator is its refusal to generalize. While competitors like DeepL and Google Translate optimize for broad consumer and business text, XL8's models are trained exclusively on the format and cadence of spoken dialogue in film and television. This means the firm does not compete on general-purpose translation quality—it competes on timecode accuracy, reading-speed compliance, and character limits that broadcasting standards demand. A general-purpose model is a tool; XL8 is infrastructure embedded inside the post-production pipeline.
General information
Firm type
Asset Manager
Year founded
—
AUM
Undisclosed
Location
Region
North America
Country
United States
City
San Jose
Corporate office
San Jose, CA, United States
Sector focus
Frequently asked questions
What is XL8's core technology and how is it different from general-purpose machine translation?
XL8 builds machine translation models trained exclusively on subtitling and closed-caption data. Its EventCAT engine is optimized for timecoded dialogue, not prose. This means it handles reading-speed limits, character-per-line constraints, and colloquial speech patterns that general-purpose models like Google Translate routinely fail on. The firm has also built a proprietary curated parallel corpus for media content, which feeds its data licensing business.
Who are XL8's known enterprise customers or partners?
Publicly disclosed partners include Iyuno, the largest dubbing and subtitling vendor globally, and Cineverse, the publicly traded streaming technology company. XL8 has also stated that its technology serves five of the top ten streaming platforms, though specific names are redacted in its marketing under NDAs—a standard practice in entertainment-technology vendor relationships.
How does XL8 monetize its technology?
XL8 operates a hybrid model: an enterprise SaaS platform called MediaCAT for subtitling and localization workflows, a data licensing stream built on its proprietary training corpora, and professional services for large studio deployments. The MediaCAT platform charges on a per-minute or subscription basis, while data licensing is structured as a recurring revenue line for AI training datasets.
What is XL8's geographic and operational structure?
XL8 is headquartered in San Jose, California, but maintains its core engineering operations in Seoul, South Korea. Both co-founders, Tim Jung and Jeff Shih, have deep ties to the Korean technology ecosystem. This dual-country setup provides US go-to-market presence alongside access to South Korea's dense AI engineering talent pool and lower operating costs.
Has XL8 raised institutional venture capital, and from whom?
Yes. The firm closed a $5.6 million Series A round in November 2020 led by KB Investment and MY Social Company (per TechCrunch, 2020). Earlier investors include Kakao Ventures, bringing total disclosed funding to approximately $8 million by the close of that round. No subsequent funding events have been publicly reported.
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