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Language built in. Not bolted on.

Every Qorden product runs on a single shared language engine. The same translation, transcription, and voice AI works underneath all of them. Consistent, fast, and always improving.

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How Qorden works.

One engine

Every product draws from the same language core. Meetings, dubbing, voice translation, and speech analytics all run on it. No fragmentation across the suite.

One standard

Accuracy, speed, and language support are the same everywhere. What works in Qordenate works exactly the same way in QSAP.

One roadmap

Every improvement to the language engine reaches every product at the same time. No separate per-product updates. No waiting

One layer powering every language experience

Just like your phone runs every app on a single ecosystem, Qorden runs every product on one shared language engine. A unified foundation beneath everything so every feature, workflow, and tool builds on the same core.

Real-time translation, transcription, voice processing, and analytics work as one—no silos, no duplication. Updates in one place improve everything, keeping quality consistent.

One engine. Every product, powered on top.

Qorden Product Suite

  • Live meetings
  • Voice translation
  • Video dubbing
  • Speech analytics

Foundation 

One engine powers every product.
  • Real-time translation
  • Transcription
  • Speaker identification
  • Voice cloning
  • Language detection
  • Sentiment analysis
  • Multilingual Summarization

Four products. One language core.

Each product serves a different use case. All of them run on the same language infrastructure underneath.

Live multilingual meetings

Real-time translation and transcription for video calls. Every participant hears the meeting in their own language as it happens.

Explore Qordenate

AI video dubbing

Localise recorded video into multiple languages with lip-sync AI dubbing. Built for content creators, studios, and media teams.

Explore Dubbix

Real-time voice translation

Translate spoken audio into another language as it happens. Works for calls, live streams, broadcasts, and any live audio feed.

Explore QDub

Contact centre speech analytics

Analyse customer conversations across languages to surface insights, compliance signals, and service quality data automatically.

Explore QSAP

How Qorden works.

Qorden Ecosystem

Built in

Context-aware accuracy

Meeting speech, dubbed audio, and contact centre calls each use models tuned for that context. Not a generic engine applied to everything.

Low latency by design

The language layer sits inside the product. Speed is structural, not something fixed after the fact.

Every product improves together

A better translation model means better meetings, better dubbing, and better analytics. All at once.

Translation as a feature

Bolted on

One model for everything

The same translation API that handles emails handles live speech. No context awareness. Inconsistent results across the platform.

Latency added at every step

Every translation is a separate round trip. In live audio this is noticeable. In real-time meetings it breaks the experience.

Updates are per product

Improving language in one area does not improve the rest. Each product moves separately on its own timeline.

Questions contact centre teams are usually asked

Every product in the Qorden platform - Qordenate, Dubbix, QDub, and QSAP, runs on the same underlying translation, transcription, voice processing, and analytics infrastructure. This means the accuracy standard, language support, and speed that apply in a live meeting are exactly the same as those that apply in video dubbing, voice translation, and contact centre speech analytics. There is no fragmentation across the suite, no inconsistent results between products, and no separate per-product update cycles; an improvement to the engine reaches every product simultaneously.
When translation is a separate API added to a product, the same generic model handles email translation, live speech, and pre-recorded audio with no context awareness. Each translation call is a separate round trip, adding noticeable latency in live audio environments. Qorden's approach is the opposite: the language layer sits inside each product, with models tuned specifically for meeting speech, dubbed audio, and contact centre calls. The result is context-aware accuracy and speed that is structural rather than patched in.
Each product works fully as a standalone solution. Qordenate for meetings, Dubbix for video localisation, QDub for voice translation, and QSAP for contact centre analytics can each be deployed independently. The shared language engine means that using more than one product delivers compounded value, the same language infrastructure carries context, consistency, and accuracy across every touchpoint, but it is not a requirement to use the full suite
The foundation layer covers real-time translation, transcription, speaker identification, voice cloning, language detection, sentiment analysis, and multilingual summarisation. Every product in the ecosystem builds on this foundation. This means capabilities like sentiment analysis, which surfaces in QSAP's contact centre analytics, and voice cloning, which powers Dubbix dubbing, drawn from the same core and improved together as the engine develops.
An organisation that starts with Qordenate for meetings is already running on the same language infrastructure that will power their contact centre monitoring with QSAP or their content localisation with Dubbix. There is no re-integration, no separate accuracy calibration, and no new vendor relationship required to add a product. The ecosystem expands with the organisation's needs while maintaining a single standard of accuracy, speed, and language support across every deployment.
Yes. The ecosystem is built with ISO 27001 and ISO 27018 certifications, point-to-point encryption, and deployment options that include private cloud, sovereign cloud, and on-premises. For regulated industries and government agencies that cannot use shared cloud infrastructure, the full language engine, translation, transcription, voice processing, analytics, runs entirely within their own secured environment. Security is part of the platform architecture, not applied as an afterthought.

Language is the infrastructure.
Everything else runs on top.

Start with Qordenate and see what it means to have language truly built in. Or explore the full range of use cases across teams, industries, and languages.
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