Vaya pairs Vedic astrology expertise with AI agents to serve Indian users seeking cultural and spiritual guidance. The tech stack—React Native, Next.js, Node.js, PostgreSQL, Redis, Kafka, RAG, and LLM fine-tuning—reveals a company building stateful agent infrastructure and mobile-first experiences. Active projects center on agent reliability (sounding human, meeting user expectations, handling Indic languages), production model integration, and SEO discovery, indicating early-stage product-market fit work rather than infrastructure maturity.
Vaya is a two-month-old AI-assisted astrology consultation service built by Anuvaya Labs, a product studio focused on culturally resonant consumer applications for India and the Indian diaspora. The company operates as a small, engineering-forward team (10 active roles, 5 posted in the last 30 days) split across engineering, product, design, marketing, and research. All hiring is based in India. The core offering lets users chat with Vedic astrologers augmented by AI; the underlying challenge is training models that sound human, maintain domain expertise, and work reliably across Indic language inputs.
React Native, Next.js, Node.js, PostgreSQL, Redis, Kafka, Python, Elixir, Go, GCP, Kubernetes, RAG, and LLM fine-tuning for conversational AI. Mobile codebases span Swift, Objective-C, and Kotlin.
Stateful agent runtime, LLM fine-tuning for conversational AI, mobile app development, SEO discovery, data pipeline optimization for dataset creation, and native iOS/Android code integration to improve agent quality and Indic language accuracy.
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