Gaia operates a subscription streaming service in 185 countries built on a modern web and mobile stack (React, Node.js, PostgreSQL, GraphQL). The company is actively adopting LLM infrastructure (LangChain, LangGraph, LlamaIndex, Semantic Kernel) while building RAG pipelines and agentic systems — a signal they're moving toward AI-driven content discovery and recommendation. Hiring accelerated across marketing and product in the past month, with notable open roles in media strategy and language engineering, suggesting both content distribution and AI personalization are strategic priorities.
Notable leadership hires: Media Strategy Director, Language Lead
Gaia is a member-supported streaming platform offering over 10,000 ad-free films, documentaries, and original series focused on wellness, consciousness, and human transformation. The service is available across web, mobile (iOS/Android), and major streaming platforms including Apple TV, Roku, Amazon Prime Video, and others, with a global subscriber base spanning 185 countries. The platform handles both in-house content production (using Adobe Premiere Pro, After Effects) and technical streaming infrastructure. Recent project activity and hiring patterns show focus on audience segmentation, engagement optimization, paid media strategy, and emerging AI-assisted content discovery.
Gaia's primary tech stack includes React and Node.js for frontend/backend, PostgreSQL for data, GraphQL for APIs, and New Relic for monitoring. They also use Terraform and OpenShift for infrastructure, and are actively adopting LLM tools (LangChain, LangGraph, LlamaIndex) for content-discovery features.
Gaia is headquartered in Louisville, Colorado, and is a public company with 51–200 employees. Current hiring is focused in the United States.
Gaia, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.