Campaign-grade video, hero images, and editorial assets — produced in hours not weeks. Real footage + AI generation + frontier model orchestration, optimised for cost, speed, and creative quality.
See the output ↓30-second campaign asset for a political intelligence platform. Conceptual clips, no faces, text overlays, cinematic score. Built in a single session using Sora-2 and Veo 3.1 for generation, ffmpeg for compositing and transitions.
Photorealistic editorial portraits and campaign environments generated with GPT-Image-2. B&W profile formula consistently scores 8.5–9/10 for realism. Production-ready for landing pages, pitch decks, and campaign collateral.
The most cost-effective production strategy is a hybrid: AI generation for conceptual and abstract content where it excels, real photography for human subjects where AI still has limits. The result is broadcast-quality output at a fraction of traditional production cost.
Abstract and environmental clips — war rooms, data visualisations, electoral maps — generated entirely by AI. No crew, no location, no post-production house. Sora-2 and Veo 3.1 for cinematic quality at ~$2–5 per clip.
GPT-Image-2 for editorial portraits and campaign environments. The B&W profile + single-light-source formula produces 8.5–9/10 photorealism. Used for landing pages, decks, and social assets where a real shoot would cost $5,000+.
ffmpeg-based pipeline for clip assembly, crossfade transitions, text overlays, and audio scoring. Programmatic progress bars, animated text, and color grading — no Adobe suite required, fully reproducible.
Cinematic scores synthesised or sourced from royalty-free libraries. AI music generation via Suno/Udio for custom tracks. Audio fade curves, hit sync, and voice-over integration all handled in the same pipeline.
Full creative brief → final video in a single working session. Clip replacement, timing adjustments, and text changes take minutes not days. Multiple variants for A/B testing at near-zero marginal cost.
Programmatically generated maps, charts, and data overlays. Australian electoral maps with accurate geography, party-coloured electorate divisions, and real margin data — embedded directly into video assets.
Audience, tone, messaging, duration, visual language
Clip sequence, text overlays, data points, tagline
AI video + image generation, parallel where possible
Clip assembly, transitions, text, audio, colour grade
MP4, stills, and variants in one session
No single model is best at everything. The pipeline selects the right model for each task — Sora-2 for cinematic video, GPT-Image-2 for portraits, Veo 3.1 for conceptual footage, and local ffmpeg for compositing. Provider fallbacks and direct API routing keep costs minimal and output quality maximal.