AI-powered audio platform for voice and sound creation
Vocalbeats builds AI-driven audio products with a dual focus: consumer-facing applications and an AI research division (Vocalbeats.AI). The tech stack reveals a mobile-first, AI-native architecture—Swift, Objective-C, and AVFoundation for iOS; Python and LLMs (GPT, Claude, Qwen) for intelligence; and Kafka + Redis + Kubernetes for real-time, high-concurrency workloads. Active adoption of RAG and LoRA signals progression from basic LLM integration toward retrieval-augmented and fine-tuned models. Hiring velocity is accelerating, with product and marketing roles dominating (11 of 19 open positions), suggesting aggressive go-to-market expansion alongside engineering.
Vocalbeats operates an AI-powered audio ecosystem spanning consumer products and enterprise AI services through its Vocalbeats.AI division. The company is headquartered in Singapore's Downtown Core and employs 51–200 people, distributed across teams in Singapore, the United States, China, and New Zealand. Core capabilities span mobile audio (iOS development with native frameworks), LLM orchestration (multi-model selection including GPT, Claude, and Qwen), distributed systems (Kafka, Kubernetes, Redis), and design infrastructure (Figma-based design system). Current execution priorities include international product strategy, KOL (key opinion leader) partnerships, social media scaling, and model optimization work—indicating a business model that blends consumer reach with AI IP development.
iOS native (Swift, Objective-C, AVFoundation, CocoaPods), backend Python, LLMs (GPT, Claude, Qwen), distributed systems (Kafka, Kubernetes, Redis), design tooling (Figma), and GitHub Copilot for development.
International product strategy and expansion, KOL collaboration programs, global marketing campaigns, RAG and LoRA model experimentation, design system maintenance, and internal prompt engineering knowledge bases.
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