Real-Time Translation Platform

Project Overview

AiLuvio, ailuvio ist eine ai-gestützte echtzeit-übersetzungsplattform, die sprachbarrieren in meetings, konferenzen und internationaler zusammenarbeit überwindet. GoldenWing developed a customized solution with focus on Platform development and integration. The result: <2s Übersetzungs-Latenz, 50+ Sprachen integriert, 99% Accuracy Rate.

Starting Point

What Was Holding Them Back?

Echtzeit-Übersetzung erfordert nicht nur präzise AI-Modelle, sondern auch extrem niedrige Latenz und die Fähigkeit, kontextbezogen zu übersetzen. Die Plattform musste für Business-Meetings professionell nutzbar sein.

The specific challenges included:

• Missing digital infrastructure for sustainable growth
• Inefficient processes and manual workflows
• Unclear positioning and communication
• Lack of measurability for marketing and sales activities

Why Was This Critical?

Without professional digital presence and optimized processes, growth potential remained untapped. Competition was digitally better positioned, leading to missed opportunities.

Goals & KPIs

• Übersetzungs-Latenz: <2s
• Sprachen integriert: 50+
• Accuracy Rate: 99%
• Optimize and automate digital processes
• Strengthen brand positioning

Our Approach

Scalable software solutions and cloud architecture

GoldenWing entwickelte eine AI-First-Translation-Platform:

• AI-Engine: State-of-the-art Neural Machine Translation
• Real-Time Processing: Stream-Processing für minimale Latenz
• Context-Awareness: Berücksichtigung von Meeting-Kontext

Implementation & Rollout

• Integration: Plugins für Zoom, Teams, Google Meet
• Audio-Processing: Noise-Cancellation und Speaker-Identification

Implementation Details

Phase 1: Analysis & Strategy

Deep analysis of existing processes, competitive landscape, and target audiences. Definition of clear KPIs and milestones for the project.

Phase 2: Development & Design

Scalable software solutions and cloud architecture with focus on user-friendliness and conversion optimization. Iterative design with regular feedback.

Phase 3: Launch & Optimization

Go-live with accompanying support and continuous optimization based on performance data and user feedback.

Deliverables

• AI-Engine – State-of-the-art Neural Machine Translation
• Real-Time Processing – Stream-Processing für minimale Latenz
• Context-Awareness – Berücksichtigung von Meeting-Kontext
• Integration – Plugins für Zoom, Teams, Google Meet
• Audio-Processing – Noise-Cancellation und Speaker-Identification
• Documentation and training
• Performance reporting and analytics

What Had the Biggest Impact?

The holistic approach was key to success. Instead of isolated measures, an integrated strategy was developed that considers all touchpoints.

Close collaboration with the AiLuvio team enabled quick iterations and tailored solutions.

Key Learnings

• If digital processes are thought through from the start, then the business scales sustainably, because no technical debt is created.
• If stakeholders are involved early, then adoption rate increases, because concerns are addressed.
• If KPIs are clearly defined, then success can be measured, because decisions are made data-driven.

Next Steps

• Further development based on performance data
• Expansion of functionalities
• Scaling into new markets or segments
• Continuous optimization and A/B testing