--- title: "Unique Friend | VMEG's Song Kaifa: Taking Audio and Video Across Borders, From Content to Voice" author: "Unique Research" sourcePublication: "Unique Research Substack" originalPublishedAt: "2025-11-14T08:00:49+00:00" canonical: "https://ffcap.cn/en/research/src-20251114-02html" source: "https://uniqueresearch.substack.com/p/src-20251114-02html" language: "en" --- # Unique Friend | VMEG's Song Kaifa: Taking Audio and Video Across Borders, From Content to Voice _Original · Unique Research · 2025-11-14_ Editorial note: This is a complete English edition of the historical article and interview. The reported 170-language capability, 39-language creator example, 13 regional versions, customer outcomes, voice characteristics and compliance statements reflect the source’s reporting and Song Kaifa’s account, not independently verified current results or guarantees. The article’s voice-cloning examples concern retaining creators’ own voices; this edition does not establish permissions for other voices. “Sudong Technology” is a transliteration-based rendering of 素动科技, which the source identifies with VMEG. Relative time references retain their historical meaning. Unless we pay deliberate attention, the short videos we scroll through each day are quietly held back by an invisible border: language. There is no shortage of good content, yet very little truly travels beyond its native-language world. Subtitles are barely adequate, while mechanical-sounding multilingual dubbing makes viewers want to swipe away after two sentences. Most creators are effectively calling out from separate camps within the same ocean of information. Song Kaifa and his team have set their sights on this invisible boundary. From the outset, Sudong Technology (素动科技, identified in the source as VMEG), the company he works for, positioned itself in a niche that sounds narrow but is remarkably deep: AI + video + marketing. In its previous phase, the team worked on AI video editing. Today, it is concentrating its efforts on something more specific: taking audio and video truly across borders, from the content itself to the voice that delivers it. From Announcer-Like Delivery to the Creator's Own Voice Traditional multilingual video solutions either provide subtitles only, apply the same synthetic voice to every piece of content, or, at the high end, hire local voice actors to record it. The problem is that translators often cannot perform voice-over, while voice actors may not preserve the original personality and emotion, let alone clone the original voice. VMEG chose to approach the problem from the opposite direction. Its end-to-end system can translate audio and video directly among 170 languages and then produce cloned dubbing in the original speaker's own voice. Instead of a cold, generic announcer, the result is another-language version that retains the creator's voice, emotion and breathing patterns. The audience no longer hears a stranger reading the words; it hears you speaking to them in another language. The significance of this change goes far beyond sounding more natural. A creator's voice is part of what makes them recognisable. Editing styles and cover designs can change, but for many people, familiarity returns the moment they begin to speak. In the past, that identity was almost inevitably erased when content crossed language boundaries. Voice cloning restores it, allowing creators to remain themselves in a multilingual world. Apply this capability to film and television production, educational courses, short dramas expanding overseas, multilingual YouTube channels or brand advertising, and it becomes clear that this is not merely a small tool. It is foundational infrastructure for globalising content. Tangible Value in Vertical Use Cases AI products can easily fall into a trap: the technology is dazzling and the Demo looks impressive, but users still do not know why they should pay for it. Song Kaifa's approach is straightforward: focus only on vertical use cases, and only on commercial value that can be standardised, quantified and clearly felt. In other words, customers should be able to calculate the benefit as soon as they start using the product: how much labour it saves, how much time it cuts and how many new markets it opens. If they cannot calculate it, the product is not yet good enough. AI video translation and cloned dubbing meet precisely this standard. Consider a brand expanding abroad that needs video marketing across Latin America, Southeast Asia and Europe. Previously, it had to coordinate local teams for translation, recording and mixing—a slow, expensive process that could also produce inconsistent brand messaging. Now a creator can perfect one piece of content, hand it to VMEG.AI for multilingual expansion, cover more than a dozen countries at once and retain a consistent brand voice. This is not a nice-to-have. It is infrastructure with ROI that can be calculated clearly. The phrase “AI makes software services simpler” may sound like industry boilerplate, but in VMEG's journey it describes something very concrete: turning complex audio-video localisation from project-based outsourcing into an online service that runs to completion with a single click. The Super-Individuals Are the Ones Who Start Using It First The theme of this conference is “Pioneering Intelligence | The Individual Era.” Many people instinctively wonder whether AI will replace individuals. Song Kaifa starts from the opposite premise: AI is amplifying individuals, especially those willing to experiment before everyone else. One representative example is a Brazilian creator served by VMEG. The creator publishes a 20-minute curiosity video every day, originally for a local audience. With AI translation and cloned dubbing, the same content can now be played worldwide in 39 languages. It is hard to imagine a single creator opening 39 distribution paths for one piece of work, yet today it can be done at the touch of a button. Another story comes from a photography studio in Akita Prefecture, Japan. The studio produced a tourism video starring an Akita dog. Once circulated mainly within Japan, the film can now speak naturally in multiple languages through cloned dubbing and address potential visitors around the world. For a small studio, it resembles a global public-relations experiment conducted without intermediaries. These cases share one defining feature: AI did not write their scripts or shoot their footage. It took over the most time-consuming and least creative repetitive work: translation and dubbing. Creators still decide what story to tell and what experiment to run; AI simply amplifies the ripples of each experiment across languages and cultures. Song Kaifa made an observation worth considering: In many cases, the real-world adoption and commercialisation of AI are led by the demonstration effect of super-individuals. In other words, the people who truly push AI to its limits are often not large institutions but individuals and small teams willing to try. They lack huge budgets, but they have the agility to make decisions and iterate quickly. The Hardest Part of Taking Software Global Is Not Compute, but Winning Hearts From the beginning, VMEG has defined its main direction clearly: software globalisation + AI innovation. The opportunity stems from differences in labour costs, language distribution and content-consumption habits around the world. Europe, India, Japan, Thailand, Brazil and other markets have specific, rapidly growing needs for translation and dubbing. It is a market naturally suited to AI products. Yet the real difficulty lies not in algorithms, but in winning people's trust. How do you build a global brand that people remember overseas? How do you ensure users see you not merely as a tool, but as a partner they want to return to? VMEG has addressed this through several measures that may sound less technically glamorous: It handles user data strictly according to regional compliance requirements such as GDPR; localises the product for 13 regions—not merely translating the interface, but respecting local usage habits; and maintains real-time communication and feedback channels so users can tell the team what they genuinely think at any time. These measures may not sound technically hardcore, but they are the foundation of brand loyalty. Song Kaifa stresses that Chinese AI companies going global must learn to tell brand stories, turn authentic user testimonials into an external voice for the company, earn endorsements from influential figures around the world wherever possible, and gradually build a loyal community through frequent interaction with users. Technology can iterate quickly; relationships can only be cultivated over time. Many Chinese teams are accustomed to filling out the feature set first. In global markets, however, clearly explaining who we are, why we do what we do and who benefits from it is also part of the moat. How Should Individuals and Small Teams Prepare Ahead of Time? Returning the focus to individual creators and entrepreneurs, several preparations may be particularly valuable for capturing the window AI will create over the next one to three years. First, proactively understand the boundaries of AI's capabilities. This means more than simply learning a particular tool. It means gradually developing a clear mental model of which repetitive tasks can safely be handed to AI and which judgements and creative decisions must remain your own. Only by knowing the boundary can you avoid both overestimating AI and underestimating yourself. Second, manage your voice and IP as genuine assets. In a multilingual world, people remember more than a name and profile image. They remember a recognisable voice, narrative style and set of values. Tools such as VMEG.AI can replicate and amplify these qualities across more languages. Third, build a creative production line designed to scale. A steady topic cadence, reusable programme structure and clear brand tone may sound industrial, but these are precisely the elements AI amplifies best. The more structured the content, the stronger AI's multiplier effect. Finally, there is one point that is easiest to overlook: Even a one-person company must learn to converse frequently with users. AI can help run workflows, write scripts, dub audio and edit video, but only genuine feedback reveals which content has truly left an impression. The rapid conversations and immediate feedback Song Kaifa emphasises apply equally to every individual creator. The Individual Era will truly begin when AI is no longer just a cold technology stack, but a second skin fitted to a creator's voice, work and ambition. At that point, one person, one computer and one AI workflow may be enough to sustain a small universe spanning languages and cultures. Seizing the opportunity will depend not on the size of the model's parameter count, but on whether you are willing to let your voice travel a little farther first. Selected Interview Q&A Q1: What exactly does VMEG do? Song Kaifa: We do one thing: help audio and video cross language boundaries and reach global markets. We use AI for end-to-end translation + cloned dubbing, enabling one piece of content to speak naturally in 170 languages while retaining the creator's own voice and emotion. Q2: Why did you choose the AI + video + marketing niche from the outset? Song Kaifa: Video is already the main arena for global content, but language has always been an invisible boundary. Through software globalisation and AI innovation, we want to erase that boundary so good content is not confined by its native language. Q3: How would you describe VMEG's core product proposition in one sentence? Song Kaifa: It sounds as though you are speaking another language yourself, rather than an announcer speaking on your behalf. Q4: What core pain point do you solve? Song Kaifa: Translators often cannot perform voice-over, while voice actors cannot clone the original voice. We handle everything with one click: translation, lip-syncing, voice recreation and emotion, while preserving the recognisable quality of the original speaker's voice. Q5: How do you balance technological innovation with commercial execution? Song Kaifa: We focus on vertical use cases instead of trying to be all things to all people. Every feature must be standardisable, quantifiable and visibly valuable. We demonstrate value through KPIs, not flashy demos. Q6: What is the greatest opportunity you see in globalisation? Song Kaifa: Labour costs and language environments vary enormously by region. In Europe, India, Japan, Thailand and Brazil, for example, the need for translation + dubbing is concrete and urgent. This is a market naturally suited to AI. Q7: And what is the greatest challenge? Song Kaifa: Not technology, but brand. Establishing a clear VMEG.AI identity in the minds of global users, and building loyalty and interaction around it, requires time and a well-told brand story. Q8: How do you address compliance and cultural differences when expanding overseas? Song Kaifa: On one hand, we strictly follow each region's data regulations, such as GDPR. On the other, we have built localised versions for 13 regions, adapting product language and usage patterns to local users, alongside real-time communication and rapid-feedback mechanisms. Q9: In your view, what are Chinese AI companies still missing as they go global? Song Kaifa: They lack stories that have been told and user testimonials that have been seen. The technology is strong, but companies need more real cases, endorsements from influential people and frequent user interaction to build genuine global influence. Q10: How do you interpret “Pioneering Intelligence | The Individual Era”? Song Kaifa: AI + creators are the pioneers of this era. Many breakthroughs in AI commercialisation are first tested by super-individuals. AI is amplifying individual talent and output. Q11: Can you share two cases involving individuals or small teams that particularly impressed you? Song Kaifa: One is a Brazilian creator who publishes a 20-minute curiosity video every day and uses our system to distribute it in 39 languages. The other is a photography studio in Akita, Japan, which made a multilingual version of a tourism film featuring an Akita dog and reached visitors around the world. Q12: What do you see as the greatest opportunity and challenge for AI creators today? Song Kaifa: The opportunity is that distinctive content can become global by using audio-video translation and dubbing well. The challenge is sustaining your IP and maintaining a steady stream of content, rather than ending after one or two viral hits. Q13: What should individuals and small teams prepare over the next 1-3 years? Song Kaifa: Three things: use AI tools well and understand the boundaries of AI's capabilities; cultivate your IP and voice seriously; and build a scalable creative production line so every piece of content can be reproduced in multiple languages. --- Original publication: https://uniqueresearch.substack.com/p/src-20251114-02html On-site reading page: https://ffcap.cn/en/research/src-20251114-02html