Pinch is a real-time AI voice translation video conferencing platform designed to enable seamless multilingual communication during online meetings. Pinch uses artificial intelligence to provide instant voice translation, allowing participants to speak and understand each other in their preferred languages without delays or manual interpretation.
The platform is tailored for businesses and organizations that operate internationally or have teams and clients who speak different languages. Pinch addresses the challenges of language barriers in video conferencing by delivering real-time translation directly within the call—making global collaboration more accessible and productive.
How Does Pinch Work?
Pinch integrates AI-driven translation technology into video conferencing, translating spoken language in real time. This eliminates the need for human interpreters or post-meeting translation, helping teams communicate naturally regardless of language differences. The platform can be used for:
- Virtual meetings and webinars
- Remote hiring and onboarding
- International client calls
- Cross-border team collaboration
Who Uses Pinch?
Pinch serves a diverse set of business customers across industries that require multilingual communication. Notable companies using Pinch include:
- Microsoft
- JustPaid
- PageFly
- TrustBridge
- WingMate
- Conbello Textile
- MABE
- BraveBits
These organizations leverage Pinch to connect teams, clients, and partners worldwide, particularly when language could be a barrier to effective collaboration.
What Makes Pinch Different?
Pinch stands out by offering real-time, AI-powered voice translation built directly into video conferencing. This approach provides a seamless user experience and eliminates the lag associated with traditional translation methods. The platform is especially valuable for companies looking to:
- Hire international talent without language constraints
- Expand into new markets
- Foster inclusive, multilingual work environments
A recent example highlighted how Pinch helped a company scale its engineering team by enabling collaboration with non-English speaking developers, demonstrating its practical impact in overcoming language limitations.
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