Qorden AI on Monday launched Qordenate, a cloud-native videoconferencing platform that translates speech in real time across up to six languages simultaneously per call. The platform draws on 33 supported languages — producing more than a million possible language combinations — and runs on AWS infrastructure with what Qorden describes as near-zero latency and up to 97% accuracy.
The translation engine is built at the foundation level rather than as an English-first overlay with interpretation bolted on afterwards. That distinction shapes how Qordenate handles code-switching: professional environments where speakers move between Tagalog and English, or the structured formality of Gulf Arabic in a business call, sit within the scope the model was trained on rather than edge cases it approximates.
Beyond audio, the platform generates live captions in each participant's chosen language, translates in-meeting chat, and produces a smart recap. A VoiceBridge feature extends the service to participants with speech impairments, providing text-to-speech conversion. The company estimates more than 170 million people worldwide live with speaking disabilities.
Qordenate is available under a freemium model, with Pro, Business, Scale, and Enterprise tiers targeting different organisation sizes. Webinar use is priced by participant count and session duration. Qorden is a member of Nvidia's Inception Programme.
The company's language engine underpins four products: QSAP for contact centre speech analytics, Dubbix for content localisation and dubbing, QDub for real-time voice translation, and Qordenate for live video collaboration. Qorden says the engine is also available as an API layer for developers and enterprise teams building multilingual capabilities into their own applications.
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