Case study · Communications and privacy

Real-time translated calling and chat app

Voice calls and chat that translate between languages in near real time, combining speech recognition, machine translation, and speech synthesis.

Our role. Our founder worked on this app as a senior engineer.

TODO(verify): confirm role and scope.

Client
A communications start-up
Region
[REGION]
Period
[YEAR]
Services
AI chatbots and voice bots, Mobile apps (Flutter / iOS)

The problem

Two people who do not share a language need to talk naturally. Every step (speech recognition, translation, voice output) adds delay, and delay kills conversation.

The approach

  • Built the calling layer on real-time audio infrastructure.
  • Streamed speech recognition and translation to keep latency low.
  • Designed the chat and call UI so users always know what was said and what was translated.

Technology

  • Real-time audio (WebRTC) [VERIFY]
  • Speech-to-text
  • Machine translation
  • Text-to-speech
  • Mobile app [VERIFY STACK]

The result

  • [RESULT: add a verified outcome, e.g. supported language pairs or median translation latency]

Related case studies

Building something similar?

A 30-minute strategy call with our founder. We will ask sharp questions, tell you honestly whether we are the right team, and outline how we would approach it. NDA available before the call.