About Us
Deepdub is a technology company focused on AI driven dubbing and voice localisation for film, television, streaming and other video content. Its core problem space is the time, cost and creative compromise involved in translating dialogue into multiple languages while keeping performances believable. Deepdub’s approach centres on generating dubbed speech that aims to match the original delivery and timing, helping content owners adapt titles for new markets without the long lead times of traditional dubbing workflows.
The company appears to serve organisations that distribute or monetise video at scale, such as studios, streaming platforms, broadcasters and content producers that need high quality localisation across many languages. In practice, that means customers who care about audience experience and brand consistency, and who may be managing large catalogues where speed and repeatability matter. The product sits at the intersection of media production tooling and enterprise AI, supporting localisation teams and post production partners rather than individual consumers.
Within the wider SaaS ecosystem, Deepdub looks like a specialist vertical platform, applying machine learning to a well defined industry workflow. It is likely to combine cloud software with human review processes, because media localisation typically requires quality control, rights management and careful handling of voices and performances. For job seekers, that usually translates into a company that has to balance research and engineering with real world production constraints, security expectations and customer delivery.
People who tend to thrive in this kind of environment include machine learning engineers and applied researchers working on speech, audio and generative models, as well as backend and platform engineers building reliable pipelines for large media files and high throughput processing. There is also room for product managers who can translate creative industry needs into software requirements, plus customer facing roles such as solutions engineers, localisation specialists and account teams who can work closely with studios and production partners. Given the domain, experience with audio processing, MLOps, cloud infrastructure, data governance and quality assurance is likely to be valuable.
What may appeal about working at Deepdub is the clarity of the mission, making global storytelling more accessible by reducing friction in language localisation, and the chance to work on applied AI with visible outcomes in entertainment and media. It is the sort of company where cross functional collaboration matters, because success depends not only on model performance but also on workflow design, customer trust and consistent delivery. If you enjoy building products that sit between cutting edge AI and demanding production use cases, Deepdub is likely to offer a mix of technical challenge and real customer impact.