Professional AI Video Generation - Automated Video Creation Services

Using Runway manually means one human per video: paste the script, generate, download, hand off to narration, edit, upload to CMS. An agentic pipeline automates all steps between brief submission and published asset. The same team that manually produced 35 videos per week can review and approve 220+ per week with a pipeline — because the pipeline handles everything in between. The value is in the orchestration, not the individual model.

Each model has a distinct optimal use case in 2026. Google Veo 3.1: photorealistic product hero content and narrative video with strong audio-visual sync. Runway Gen-4: character-consistent cinematic production with granular creative control and integration into editorial workflows. Kling 3.0 (Omni): longer-form content up to 2 minutes at the best cost-to-quality ratio for storytelling. Pika 2.5: social-optimised Reels, TikTok, and Shorts with specialised short-form features. We build model-agnostic pipelines that route each job to the right model.

C2PA (Coalition for Content Provenance and Authenticity) is a technical standard for embedding a cryptographically signed manifest into media files declaring: which AI models generated the content, the organisation's identity, the generation timestamp, and a content hash. Enterprise legal teams, ad platforms (Google, Meta), and EU AI Act regulators increasingly require C2PA provenance labelling on AI-generated video to protect against deepfakes and ensure synthetic media disclosure. We implement C2PA signing in every enterprise video pipeline we build.

A single campaign brief is submitted to the pipeline. The LLM generates N segment-specific scripts (one per audience persona, region, product, or purchase stage). Each script is passed to the video generation model, which produces a corresponding clip. ElevenLabs generates matching narration in the appropriate language for each variant. All N variants complete in a single parallel pipeline run overnight and are uploaded to the ad platform with A/B testing metadata pre-populated. No N separate production runs.

Brand consistency in AI video requires two layers: prompt engineering (scene prompts that reliably produce the correct visual style, lighting, and composition across different content types) and vision model guardrail checks (automated verification that generated clips meet brand standards before distribution). We test prompt templates across 50+ generated clips and tune them until on-brand output is reliable, then layer automated vision model checks as a safety net for every production run.

Generation time varies by model and clip length. Short clips (5-15 seconds): 2-8 minutes with Pika 2.5/Kling. Long clips (60-120 seconds): 10-30 minutes with Kling 3.0/Runway. Photorealistic product clips: 8-20 minutes with Veo 3. We design pipelines for overnight batch generation of high-volume jobs and near-real-time generation (30-60 minutes) for lower-volume, time-sensitive jobs. Real-time generation for interactive applications requires different, specialised architecture.

A focused single-use-case pipeline (e.g., product video generation for e-commerce, or social clip generation from articles) with one model, ElevenLabs narration, brand guardrails, and CMS integration typically takes 8-12 weeks to production readiness. A full multi-model pipeline with personalisation at scale, C2PA implementation, vision model guardrails, multi-platform distribution, and pipeline observability typically takes 14-20 weeks.

Yes. ElevenLabs provides narration synthesis in 29 languages with prosody adapted to video timing. The agentic pipeline routes each language variant to the correct ElevenLabs voice configuration, generates localised narration in sync with the video duration and scene timing, and adds auto-generated captions in the target language. A single master brief produces fully narrated videos for all regional markets in a single pipeline run without a translation service or voice studio.

We design all production pipelines for resilience: exponential backoff retry logic for transient API failures, fallback model routing (if Veo 3 API is degraded, route to Runway Gen-4 for the same job), queue management with priority tiers, and partial failure recovery (completed clips in a batch are preserved; only failed clips are retried). Pipelines are load-tested at 3x expected peak volume before launch to validate these failure modes.

Healthcare video requires clinical grounding (RAG over approved guidelines), no unverified medical claims (guardrail classifier), mandatory regulatory disclosures, and clinician sign-off documented in the C2PA manifest. Financial services requires FCA/SEBI/SEC-compliant language guardrails and disclaimer insertion. All industries must consider the EU AI Act's synthetic media disclosure requirements and C2PA implementation for enterprise ad platform compliance (Google's and Meta's 2026 AI content labelling policies).