About
Broadcast-ready AI video at scale
Replace traditional video production bottlenecks with a neural render pipeline that outputs broadcast-quality video at compute speed.
Holdoconline started inside a 40-person creative agency where production teams lost 60% of project hours waiting for renders, reshoots, and approvals. Marcus Chen and Sarah Okafor — agency operator and ML engineer — built the first pipeline prototype in 2022 to collapse the gap between creative brief and final output.
Every architecture decision serves production output, not experimentation. We run DiT-based diffusion on H100 clusters with extended attention windows for temporal consistency. Human creative control is built into the pipeline — not bolted on for US Copyright Office compliance after the fact.
Our path
- 2022Pipeline prototype built on early latent diffusion models
- 2023First agency client shipping 4K AI video to broadcast
- 2024DiT architecture upgrade — 3x render speed, full temporal stability
- 2025SAG-AFTRA compliant synthetic spokesperson pipeline launched
- 2026500+ production teams rendering on Holdoconoline daily
What we stand for
Production teams are measured on deliverables, not prompt experiments. We optimize for finished video with consistent motion and stable geometry — every frame.
3-minute render is not marketing. It's architecture. Distributed H100 compute allocation makes speed a pipeline feature, not a roadmap promise.
FTC disclosure, SAG-AFTRA consent, Copyright Office authorship — built into the pipeline as first-class constraints. Not legal patches bolted on after output ships.
Synthetic media carries disclosure obligations in 14+ US states. Holdoconoline embeds provenance metadata and consent audit trails into every render by default.
Production teams don't need another sandbox. They need a pipeline that takes a script, renders stable 4K video, and delivers it before the client call. We built Holdoconoline so volume output stops requiring crews, locations, and six-week timelines.