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AI Video Platform

HubContent.ai

Six-stage AI video pipeline from brand brief to 4K deliverable. Multi-model orchestration routes each task to the right model. Product-fidelity layer cleans photos and generates missing angles. Brand library, client review links, credit billing.

6-stage pipeline
Brief to 4K video
Multi-model routing
SaaS / Video AIGlobalhubcontent.ai ->
Automation architecture
Inputtrigger
Automationorchestration
AIintelligence
Supabasedelivery
24/7, no humans
The problem

Brands need a constant flow of video content at spec, but a single foundation model does not produce consistent results across brief interpretation, storyboard, scene generation, product fidelity, and final cut. Agencies burn time coordinating tools. Small brands cannot afford the coordination.

What we built

HubContent is a six-stage pipeline from brand brief to 4K video. Each stage uses the model best at that task - brief interpretation, storyboard, scene, motion, product fidelity, upscale. A product-fidelity layer cleans provided photos and generates the missing angles so the product stays recognisable across scenes. A brand library keeps voice, palette, and reference assets scoped per client. Client review links let stakeholders comment inline. Credit billing meters usage against generation cost.

Results
01Single pipeline from brand brief to a 4K-ready deliverable
02Multi-model orchestration - each stage runs on the model that owns that step
03Product-fidelity layer cleans photos and generates missing angles automatically
04Brand library scopes voice, palette, and references per client
05Client review links replace slack-and-email approval chains
06Credit billing meters generation cost against subscription
Tech stack
Next.jsTypeScriptLLM orchestrationVercelSupabase

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