CineGen takes a single sentence and delivers a complete professional production — script, video, voices, lipsync, score, and 4K assembly. Automated. End-to-end. On GPU.
23 Formats9 Stages18 AI AgentsZero intervention15-second ads to 90-minute films
18 async agents run 9 production stages simultaneously across 5 GPU pods. A one-line idea becomes a 4K production — no crew, no waiting, no compromise.
1
Concept
One sentence in
2
Script
NarrativeArchitectAgent · DeepSeek + Claude + Gemini
3
Storyboard
SceneCards · StoryBible · character memory
4
Camera
Shot angles · lens · motion paths
5
Continuity
Inference-Time Locks · CLIP scorer
6
Video
H3 · WAN 2.2 · HunyuanVideo
7
Audio
ElevenLabs · FoleyCrafter · MiniMax Music
8
Lipsync
MuseTalk · CodeFormer
9
Assembly
Real-ESRGAN 4K · NVENC H.265
Technical Moat
Built different. By design.
Not an API wrapper. Not a prompt chain. A production-grade engine built for the hardest problem in AI video — long-form narrative consistency at scale.
01 · Narrative Intelligence
18-Agent Orchestration
DeepSeek · Claude · Gemini via Vertex AI
NarrativeArchitectAgent coordinates 18 async agents to plan complete 3-act films or multi-episode series. Per-scene SceneCards and a shared StoryBible maintain character state, location history, and narrative arc from scene one to the final frame — without a single human decision.
02 · Consistency Engine
Inference-Time Locks
Proprietary Character, Location, and Object Locks injected directly into generation prompts. Zero LoRA. Zero fine-tuning. A CLIP Consistency Scorer on Vertex AI validates every shot before it joins the timeline — character drift is rejected automatically.
Vertex AI · CLIP · Zero fine-tuning
03 · Audio-First Design
Dialogue drives the edit.
ElevenLabs word-level timestamps lock shot duration before any video is generated. Per-shot lipsync via MuseTalk and CodeFormer, plus diegetic audio via FoleyCrafter, are committed before assembly. The audio defines the cut — not the reverse.
MuseTalk · CodeFormer · FoleyCrafter
04 · Multi-Model Routing
Right model. Every shot.
An intelligent router assigns each shot to the optimal model: close-ups to MiniMax H3, cinematic wides to HunyuanVideo with TeaCache, bulk generation to WAN 2.2. Five GPU pods execute concurrently — no sequential bottleneck, no idle compute.
H3 · WAN 2.2 · HunyuanVideo 1.5
05 · Automated Quality Gates
Self-healing pipeline.
A motion detector flags static shots. The CLIP scorer flags character drift. Both trigger automatic re-generation with a refined prompt — before any human review. The system does not move forward until every shot passes. No exceptions.
Motion QC · CLIP · Auto-retry loop
GPU Infrastructure
Engineered for high-performance compute.
Every model optimized for its specific GPU VRAM profile. Five concurrent pods. Zero idle compute. Tested on NVIDIA A100 — production target is H200, B200, and B300.
NVLink bandwidth enables multi-GPU single-inference. Production scale, sub-60s shot generation.
<$60 / 90-min film
Market Opportunity
Every video format. One engine.
CineGen is not a film tool — it is a universal video engine whose 23 formats compete across every professional video vertical simultaneously from a single infrastructure.
$590B+
Total Addressable Market · global professional video production 2026
Traditional studios, ad agencies, and streaming platforms spend billions producing video that CineGen generates in hours — at 5,000× lower cost. The market is not niche. It is every screen, everywhere.
Advertising video
$220B
Corporate video
$150B
Film & series
$120B
Short-form content
$100B+
Business Model
Three tiers. One infrastructure.
From solo creators to global studios — the same engine at every price point in the market.
Tier 1 · Self-serve API
Pay per minute
Creators and small studios access the full pipeline via API. Pay per minute of generated video — no infrastructure, no upfront cost. Scales from a 30-second ad to a feature film with the same call.
Usage-based · per video minute
Tier 2 · Enterprise SaaS
Unlimited production
Monthly subscription for media agencies and streaming platforms. Dedicated GPU allocation, custom format configuration, and priority throughput on next-generation GPU infrastructure.
Monthly SaaS · dedicated capacity
Tier 3 · White-label
Embedded engine
Full CineGen pipeline deployed inside the client's own infrastructure. Custom branding, private model weights, and on-premise GPU cluster integration for broadcast networks and major studios.
Enterprise license · custom deployment
Cost Breakthrough
$100. A complete film.
Traditional production costs $150,000+. CineGen on B200 costs $100. Same runtime. Same quality. 5,000× cheaper — voices, lipsync, score, and 4K included.
Traditional Film
$150,000+
Stock + Editor
$5,000+
Basic AI Wrappers
$500+
CineGen on B200
$100
Per 90-minute feature film · full quality · all costs included
$100
per 90-min feature film on B200 ~$300 on A100 today
Video generation (GPU compute)~$40
Lipsync — SCAIL-2 + H3~$12
4K upscale — Real-ESRGAN + NVENC~$8
ElevenLabs TTS (voices)~$16
FoleyCrafter + MiniMax Music~$8
LLMs — DeepSeek + Claude + Gemini<$1
Quality gates + automatic retries~$13
Total — B200 target~$100
With B300 compute and production-scale volume, our target drops below $60 per 90-minute film.
Traction & Validation
Proven in production. Not a demo.
Every number below was produced by the live system running on real GPU infrastructure. No simulations. No cherry-picking.
Pipeline Status
9-Stage, End-to-End
Concept to final MP4 — fully automated with zero human intervention required at any stage.
Character, Location, and Object Locks across 800+ shots per production. Zero fine-tuning required.
Last End-to-End Production Test
800+
Shots Generated
41
Scenes Produced
33 min
Video Runtime
Gemini
Wrote all scenes via Vertex AI
Full pipeline · real creative brief · NVIDIA A100 fleet · Gemini Pro via Vertex AI · zero manual intervention
Startup Program Memberships
✓
Google for Startups
Active member · $2,000 GPU credits · Gemini and Vertex AI validated in production pipeline
✓
Anthropic for Startups
Active member · Claude powers NarrativeArchitectAgent for all script and scene generation
✓
MongoDB for Startups
Active member · async production state and agent data via MongoDB Atlas
Ready to partner.
The pipeline is proven. The cost model is clear. We are looking for compute, capital, or strategic partnership to take a working system to commercial scale.