Pricing
Pricing for serious channel production.
Start self-serve with one channel. Move to sales-led Studio when you are running multiple channels, need higher throughput, or want launch support.
Production
The full autonomous production cockpit for one serious channel.
- One persistent channel memory: voice, topic map, visual identity
- Daily research backlog with fit, novelty, angle, and sources
- Agentic script desk: dossier, outline, draft, critique, fact-check
- Human VO ingest, word timing, storyboard, image generation, render handoff
- Provider cost estimate and confirmation before expensive batches
- 1 active channel workspace
- Unlimited idea and script drafts within fair use
- 1080p MP4 exports through the cloud render pipeline
- Media provider spend is estimated before generation and is separate from the subscription.
- Generated images are cached by prompt, seed, model, and visual identity so reruns do not rebuy the same shots.
Studio
For operators running several channels or a managed content room.
- Multiple channel workspaces and identity systems
- Higher render throughput and batch production planning
- Operator handoff for script review, shot review, and exports
- Provider setup review across OpenAI, Deepgram, R2, Trigger, and Modal
- Roadmap input for studio-grade controls before self-serve rollout
- Multi-channel workspace architecture
- Volume render planning and provider capacity review
- Priority support for launch-critical production runs
- Commercial terms are scoped around channel count, provider volume, and workflow support.
- Studio is sales-led until hard team limits and pooled media credits are enforced in-product.
Production is the self-serve cockpit for one active channel. It unlocks channel memory, research, scripting, VO timing, storyboard, visuals, render, and export workflows.
OpenAI image batches, ASR, storage, and render work are estimated before expensive runs. Cost gates and image caching prevent surprise reruns.
Multi-channel work stays sales-led until usage pools, team seats, and throughput limits are enforced directly inside Narra.
Launch Concierge
A guided setup sprint for the first channel and first finished video.
- Channel memory import from existing scripts and positioning
- Visual identity calibration for consistent generated stills
- Provider configuration and cost-control review
- First video workflow validation from idea to export
- One launch sprint
- One primary channel
- First finished workflow validated end to end
- Concierge setup does not replace the Production subscription for ongoing self-serve use.
- Provider accounts, paid API usage, and any third-party media costs remain separate.
Polar handles the subscription. OpenAI image batches, ASR, storage, and render work are estimated inside the project before costly runs.
That keeps the public promise honest while still giving serious teams a path to higher throughput and implementation support.