Partner
Xingo
A flagship collaboration focused on next-generation interpreter training.
Project
Train smarter, speak better.
Xingo is an iooki project focused on interpreter training, immersive language practice, and adaptive voice-based learning.
Snapshot
Why this project matters.
Generative Voice AI and LLMs are reshaping interpreter training through the Xingo partnership.
Format
Voice AI
Learners practise with natural, adaptive spoken interactions instead of static drills.
Goal
Real-world readiness
Training mirrors pressure, pacing, and multilingual context found in live interpreting work.
Overview
Interpreter training becomes immersive when the practice feels real.
The fusion of generative voice AI and large language models is reshaping how people learn languages and develop practical communication skills. Xingo uses that shift to rethink interpreter training from the ground up.
By partnering with iooki, Xingo can place learners inside simulated conversations that feel closer to the field conditions interpreters actually face. Training moves beyond memorisation and scripted exercises into adaptive role-play, dynamic pacing, and spoken feedback.
That matters because interpreters are rarely tested in calm, predictable scenarios. They work across accents, emotional tones, subject-matter changes, and time pressure, so the learning environment needs to reflect that complexity.
Iooki Labs
Research with a product lens.
These migrated pages preserve the earlier Iooki Labs thinking while using the new public-site system for navigation, presentation, and reuse.
How It Works
Adaptive spoken practice closes the gap between theory and performance.
Iooki's voice stack enables real-time speech generation, recognition, and contextual understanding. That lets Xingo recreate high-pressure interpreting scenarios for diplomacy, disaster response, business, and multilingual services.
Rather than simply scoring answers, the system can respond to learner performance. If a trainee struggles with simultaneous interpretation, the experience can slow down, spotlight missed details, and suggest more targeted repetition.
This style of training helps learners build confidence through guided practice that sounds natural, not robotic. The result is a more engaging experience and a faster path toward professional readiness.
Iooki Labs
Research with a product lens.
These migrated pages preserve the earlier Iooki Labs thinking while using the new public-site system for navigation, presentation, and reuse.
Why It Matters
The same model can expand beyond interpreters into wider skill development.
Xingo demonstrates how immersive, personalised, voice-based learning can extend well beyond interpreter education. The same principles can support language learning, public speaking, negotiation, and other communication-heavy skills.
The bigger idea is not replacing humans. It is giving people richer, more responsive environments for practice, coaching, and iteration so they can improve more quickly and with more confidence.
Related links
Next Step
Want to explore more from Iooki Labs?
Browse the rest of the research archive or talk to the team about the ideas that grew into the current platform.