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Gaia, Inc. Tech Stack

Streaming platform for consciousness exploration and personal transformation content

Consumer Services Louisville, CO 51–200 employees Public Company

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.

Tech Stack 58 technologies

Core StackFigma Google Ads Adobe Premiere Pro After Effects JavaScript React Redux Node.js Python Tableau Power BI Zoom GraphQL Cursor PostgreSQL New Relic Terraform OpenShift Meta Ads WordPress Optimizely AppsFlyer iOS Android Photoshop Sequelize Google Analytics 4 Hotjar ContentSquare Looker Studio+19 more
AdoptingLangChain LangGraph LlamaIndex Semantic Kernel

What Gaia, Inc. Is Building

Challenges

  • Supporting monthly close process
  • Traffic discrepancies
  • Streaming and fast channel business model evolution
  • Budget reporting accuracy
  • Balancing acquisition cost with brand equity
  • Optimizing ltv:cac ratio
  • Optimizing llm inference cost
  • Ensuring reliability of autonomous agents
  • Integration of financial and operational data
  • Delivery issues

Active Projects

  • Landing page a/b testing
  • Community and social experiences
  • Performance forecasts and scaling roadmaps
  • User flows for engagement
  • Developing new approaches to producing esoteric and conscious content
  • Audience segmentation framework development
  • Integrated media strategy across paid channels
  • Brand health and performance growth initiatives
  • Develop robust rag pipelines for content ecosystem
  • Design autonomy loops for agentic systems

Hiring Activity

Accelerating25 roles · 25 in 30d

Department

Marketing
6
Product
4
Engineering
3
Executive
3
Finance
2
Legal
2
Ops
2
Design
1

Seniority

Senior
10
Mid
7
Director
3
Intern
1
Lead
1
Manager
1
VP
1

Notable leadership hires: Media Strategy Director, Language Lead

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About Gaia, Inc.

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.

HeadquartersLouisville, CO
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Gaia use for streaming?

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.

Where is Gaia headquartered?

Gaia is headquartered in Louisville, Colorado, and is a public company with 51–200 employees. Current hiring is focused in the United States.

How this profile is built

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.