Keet integrates QVAC SDK for local AI call features

Keet: Keet is a peer-to-peer messaging application focused on privacy and direct device-to-device communication without centralized servers or data collection. It emphasizes end-to-end encryption and metadata protection for chats, calls, and file sharing. In this development, Keet incorporated the QVAC SDK to enable on-device transcription and AI-generated summaries of calls while preserving its core privacy model. QVAC: QVAC is an open-source SDK developed under the Tether ecosystem for building local-first, cross-platform AI applications that run inference entirely on user devices. It provides a unified JavaScript interface supporting capabilities such as LLM completion, speech transcription, translation, and embeddings with optional P2P model sharing. Keet adopted the QVAC SDK to power its new call transcription and summarization features locally, aligning with QVAC's design for privacy-sensitive integrations. Privacy Focus: A privacy-centric messenger requires on-device AI processing for features like call transcription to avoid sending sensitive audio data to external cloud services. SDK Integration: QVAC's unified API allows apps like Keet to add multiple local AI functions such as transcription and summarization through a single integration point. Ecosystem Backing: QVAC originates from the same development group behind Keet's P2P infrastructure, facilitating seamless adoption for privacy-preserving AI enhancements.