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Zenvyq Labs

Case study · Native AI Application

Multimodal macOS AI Assistant

A native macOS assistant combining voice, camera vision and screen context.

AssistantText foundVoiceVoiceCameraScreenCombined into one context

Illustrative interface, not a screenshot.

Type
Founder-built project, in development
Role
Developer
Status
In development
Technology
Swift, SwiftUI, Gemini, Apple Vision

Overview

A native macOS AI assistant integrating voice, camera vision and screen intelligence through a modular Swift architecture. Work is ongoing.

The problem

Most assistants work from typed text alone and lack context about what the user sees and says.

Our approach

Voice, camera and screen inputs are processed and combined into one context, which the AI uses to respond.

What was built

  • Voice interaction with speech recognition and synthesis
  • Camera and screen context using Apple Vision and OCR
  • Multimodal context fusion
  • Modular Swift architecture with a capability registry

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