Live production software for video playback, rendering, and presentation control
Renewed Vision builds software for live production environments—churches, broadcast facilities, and event venues—spanning video playback servers, real-time rendering, and presentation control. The stack reveals a graphics-first engineering culture (WPF, OpenGL, DirectX, C/C++, FFmpeg) paired with modern infrastructure tooling (Docker, Terraform, Datadog, Prometheus), while active projects signal a shift toward next-generation platform architecture and developer-facing APIs, moving beyond single-product legacy incumbents.
Renewed Vision designs software for live production workflows across worship, broadcast, and events. The product line includes playback servers, video processing and rendering systems, and presentation software used to manage real-time outputs at scale. Founded in 2000 and based in Alpharetta, Georgia, the company operates at 51–200 employees with engineering-led hiring (nine roles across graphics, systems, and platform work). Current focus areas include infrastructure modernization, low-latency video pipeline optimization, and scaling toward a multi-product developer platform.
Core stack: C#, C++, WPF, OpenGL, DirectX for graphics and rendering; FFmpeg and H.265 for video codec work; Docker, Terraform, Ansible for infrastructure; Datadog and Prometheus for observability; AWS, Fly.io, DigitalOcean for cloud hosting.
Next-generation platform architecture, future rendering systems, video processing pipeline optimization, low-latency streaming, developer-facing APIs, and observability tooling. Also addressing scaling challenges and test infrastructure reliability.
Renewed Vision'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.