# AI Video Generation Pipelines Engineer AI video generation pipelines into your product: model orchestration, templating, brand and policy checks, render queuing, and cost controls. Canonical: https://www.metaborong.com/services/ai/ai-video-generation Service: ai/ai-video-generation ## Overview AI video generation is the engineering of pipelines that produce video programmatically - scripted, templated, and API-driven - inside your product or content operation. We build the pipeline, not one-off clips: prompt and asset orchestration across generation models, render queuing, brand and policy checks, and the backend that serves it at volume. You leave with a production pipeline, cost controls, and review hooks. Senior engineers own the build. ## What is it? AI video generation is the engineering of pipelines that produce video programmatically with generative models, inside a product or content operation. Metaborong builds the pipeline end to end - model orchestration, templating, brand and policy checks, render queuing, and cost controls - so video is generated to a consistent spec at volume, not as manual one-offs. Senior engineers own the build. ## What we deliver - Video generation pipeline integrated into your product or content stack - Model orchestration across text-to-video and asset generation providers - Templated, scripted, and API-driven generation, not manual one-offs - Brand, safety, and policy checks on every render before publish - Render queue with cost controls and per-job tracking ## How we work 1. **Pipeline scoping** We define the generation task: formats, durations, aspect ratios, brand constraints, and the volume the pipeline must sustain. We map which steps are model-generated and which are templated or composited, and fix the output spec so the pipeline produces consistent, on-brand video rather than unpredictable clips. 2. **Generation and assembly** We build the pipeline: prompt and asset orchestration across text-to-video, image, and voice models, with templating and compositing for the deterministic parts. Render jobs queue and scale, and partial failures retry without restarting a whole batch. The output is engineered to a fixed spec, not a one-off experiment. 3. **Review and policy** Every render passes brand, safety, and policy checks before it is eligible to publish: rights, content rules, and quality thresholds enforced in the pipeline, not by eye. A human approval hook fires where stakes are high. Rejected renders route back with a reason rather than silently shipping. 4. **Rollout and cost control** The pipeline rolls out behind flags with per-job cost ceilings and provider routing tuned to format and budget. Generation cost, render time, and approval rate are tracked in production. We hand over with a runbook so your team adds templates and swaps models without re-engineering the pipeline. ## Tech stack OpenAI (Models), Runway (Video models), ElevenLabs (Voice), FFmpeg (Compositing), Temporal (Render queue), Python (Pipeline), Vercel Blob (Asset store), Sentry (Observability) ## When this fits ### Fits when - You need video produced at volume, on a repeatable spec, not bespoke one-offs. - Generation should run inside your product or content pipeline, via an API. - You have brand and policy rules that every output must pass before publish. ### Does not fit when - You want a single marketing video made for you - that is a creative studio, not us. - You need real-time, live video synthesis - that is a different latency problem. - You expect us to train a novel video model - we orchestrate existing providers. ## FAQ ### What is AI video generation? AI video generation is producing video with generative models - text-to-video, image, and voice synthesis - assembled programmatically. At Metaborong it means an engineered pipeline rather than manual clips: prompt orchestration, templating, brand and policy checks, render queuing, and cost controls, so your product or content team generates video to a consistent spec and at volume. ### Do you make videos for us, or build the system that makes them? We build the system. Metaborong engineers the generation pipeline your product or content operation runs, integrated via API, not a creative studio producing finished clips by hand. If you need a one-off branded film, a video agency is the better fit. If you need video at volume on a spec, we build that capability. ### How do you keep generated video on-brand and safe to publish? Brand, safety, and policy checks run in the pipeline before any render is eligible to publish: rights, content rules, aspect ratios, and quality thresholds enforced automatically, with a human approval hook where stakes are high. Renders that fail a check route back with a reason instead of shipping, so nothing reaches an audience unreviewed. ### Which video models do you use? We orchestrate existing providers - text-to-video, image, and voice models - routed per format and budget rather than locked to one vendor. As the available models change, the pipeline swaps providers without a rebuild. We do not train novel video models; we engineer the orchestration, templating, and controls that make existing ones production-usable.