The Sensory Bridge

Enterprise-grade engineering, with a human purpose.

ReadVC is not just a transcriber. It's a complex Artificial Intelligence architecture operating entirely on your device (Edge AI), guaranteeing fluid, delay-free, and 100% private communications.

The Three Pillars of ReadVC

We designed technology built for resilience. A failure during a critical call is not an option.

Ultra-Low Latency

In a phone conversation, every millisecond counts. We achieve latencies under 200ms in STT/TTS conversion thanks to optimized local AI models, allowing for a truly natural chat.

Privacy by Design

Zero-Knowledge Architecture. Audio never travels to cloud servers. All processing happens in your phone's sandbox, protected with AES-256 encryption.

Network Agnostic

Works on the native cellular network (GSM) or Wi-Fi. By not requiring a data plan to process audio (100% Offline), it guarantees functionality in rural or low-connectivity areas.

4-Layer Tech Stack

We've developed a hybrid engine combining the best Android user experience with the brutal performance of low-level AI languages.

UI & OS (Kotlin)

Operating system interaction

Native call management in Android using InCallService without relying on third-party libraries or external clouds. The UI is built in Jetpack Compose for flawless 60fps performance.

InCallService APIJetpack ComposeAudioRouting
The Core of Performance

Why use Rust in the Mobile Backend?

Processing audio and running live AI inside a cell phone requires low-level engineering. Rust is the only reasonable choice.

Memory Safety without pauses

Rust guarantees memory safety at compile time. There is no Garbage Collector (GC) pausing execution, which is crucial to avoid frame or audio drops during long calls.

C/C++ Performance

Metal-level performance for real-time AI inference, allowing us to achieve <200ms latencies on the device itself.

Native Cross-Platform

70% of the core code (the AI engine and audio logic) will be directly reused in our future iOS version (Swift) thanks to Rust's cross-compilation capabilities.

Solid ML Ecosystem

Modern, secure, and mature support for local machine learning thanks to powerful crates like Burn, Candle, and ndarray.

We decentralize accessibility.

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