Aive builds a generative AI video platform targeting brands, agencies, and broadcasters. The stack—React, TypeScript, Go, PostgreSQL, PyTorch, YOLO, FFmpeg, Kubernetes, AWS, GCP—reveals a heavy machine-learning and backend foundation optimized for real-time video processing at scale. Active pain points around real-time rendering performance, multi-stream handling, and multicloud orchestration align with their current project focus on a real-time processing backend and global deployment, indicating they're scaling from single-region to distributed infrastructure.
Aive is a generative AI video platform enabling post-production automation and creative iteration for video-first businesses. The product allows brands and creatives to generate multiple video variations, enhance distribution workflows, and collaborate across distributed teams. Founded in 2019 and based in Paris with offices in Montpellier, Aive operates as a self-owned SaaS B2B business targeting mid-to-large organizations in media, advertising, and broadcasting. Current initiatives span storyboard and media library modules, AI analysis capabilities, and video data pipelines—all underpinned by infrastructure work in drift monitoring, model deployment, and multicloud architecture optimization.
React, TypeScript, Go, PostgreSQL, FFmpeg, Python, PyTorch, YOLO, Terraform, Kubernetes, AWS, GCP. Stack emphasizes ML inference (PyTorch, YOLO), real-time video processing (FFmpeg, Go backend), and multicloud orchestration (Terraform, Kubernetes).
Paris, Île-de-France, France. Aive also maintains offices in Montpellier.
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