OpusClip builds AI tooling that cuts long-form video into social-ready short clips, running a media pipeline on FFmpeg, C++, Python, Celery and Temporal over GCP and Kubernetes. LangChain plus the Milvus vector database point to LLM and retrieval layers in the product, with an agent product (Agent Opus) in the works. Design-heavy hiring and pains around AI output consistency and enterprise deals suggest a push upmarket alongside a brand refresh.
OpusClip is a Mountain View, California-based software company founded in 2022 that offers an AI-driven video clipping and editing tool. The product takes long recordings and automatically produces short clips formatted for social platforms, serving both individual creators and businesses. The company is privately held and employs between 51 and 200 people. Its stack spans Python and Django backends, TypeScript, React and Next.js frontends, MongoDB and Redis data stores, and product analytics through Mixpanel, Statsig and Superset. Hiring is concentrated in the United States.
OpusClip uses Python, Django, TypeScript, React, Next.js, FFmpeg, C++, LangChain, Milvus, MongoDB, Redis, Celery, Temporal, Docker and Kubernetes on GCP, with Datadog, Mixpanel and Statsig for monitoring and analytics.
Yes, hiring is accelerating, led by design and engineering with additional product, data, marketing, sales and HR roles, mostly at senior level and based in the United States.
Current initiatives include Agent Opus, an AI-native go-to-market motion, prompting frameworks for generation workflows, retention and LTV analytics, a brand upgrade and a new web experience launch.
Other companies in the same industry, closest in size
OpusClip'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.
