Angel operates a film studio platform where creators fund, produce, and distribute content directly to audiences without traditional studio intermediaries. The tech stack reveals a dual-layer architecture: a creator-facing production and crowdfunding system (Stripe, Shopify, NetSuite) layered atop analytics and discovery infrastructure (Snowflake, dbt, GrowthBook, GraphQL). Active hiring across engineering, ops, and data—with balanced mid/senior representation—signals scaling of discovery algorithms and localization pipelines as core bottlenecks, evidenced by projects spanning A/B testing frameworks, large-scale dubbing, and Spanish translation alongside ongoing work to close the gap between viewer preferences and content recommendations.
Angel is a film studio platform headquartered in Provo, Utah, that enables independent filmmakers and executives to produce and distribute TV and film content directly to viewers. The company operates on a two-sided marketplace: creators use the platform to crowdfund, collaborate, and release projects (theatrical, streaming, and specialty formats), while the platform handles discovery, payment processing (Stripe/Shopify), and analytics. With 51–200 employees, Angel is actively scaling production operations, analytics infrastructure, and international reach—evidenced by concurrent projects in Spanish localization, dubbing, theatrical distribution, and accessibility formats. Pain points center on scaling discovery matching, managing vendor and production workflows, and maintaining profitability while supporting high creative ambition.
Angel's core stack includes Snowflake and dbt for analytics, AWS (Lambda, RDS, ElastiCache) for compute and storage, Stripe and Shopify for payments, React Native and TypeScript for mobile/web clients, Kubernetes for orchestration, and GrowthBook for experimentation. Roku SDK is in use for streaming distribution.
Active projects include a discovery metrics framework and A/B testing pipeline to improve content recommendations, dbt models and data pipelines for analytics, large-scale localization (Spanish translation and dubbing), theatrical distribution workflows, crowdfunding campaign infrastructure, and accessibility format productions.
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Angel'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.