# Productized offers

The founder move is to stop describing Cultshot only as a custom AI service. Package the work into offers buyers can understand, budget, and approve.

## Offer architecture

Cultshot should have three front-door offers:

1. Franchise/keyframe model package.
2. AI production-readiness audit.
3. Visual-bible and dataset package.

These can ladder into larger pilot, season, localization, and managed workflow packages.

## Offer 1: Franchise / keyframe model package

### Buyer

- IP owner.
- Animation producer.
- VFX/post-production company.
- Broadcaster or streamer with owned/controlled IP.
- Marketing/distribution team for a franchise.

### Problem

The buyer wants AI-assisted visuals, keyframes, campaign assets, or image-to-video references, but cannot risk generic tools, rights uncertainty, inconsistent characters, or leaks of confidential material.

### Promise

A controlled project-specific image/keyframe model trained on authorised materials, able to generate franchise-consistent visual outputs for creative review and production handoff.

### Included scope example

- Material ingestion and indexing.
- Training records and visual-bible extraction.
- Image/keyframe model for a defined set of characters, props/gadgets, and locations.
- Representative validation outputs.
- Handoff notes and provenance notes.

### Sample scope bands

| Package | Use case | Indicative price |
| --- | --- | ---: |
| Starter | 1–2 characters, limited props/locations, proof of concept | USD 12,500–20,000 |
| Pilot | broader model for a pilot/campaign package | USD 25,000–35,000 |
| Season / franchise expansion | larger roster, more concepts, deeper asset coverage | USD 50,000–100,000+ |

Prices should be adjusted based on rights, volume, turnaround, compute, and handoff complexity.

### Expansion pricing

- Additional character: USD 1,500–3,000.
- Additional prop/gadget: USD 1,000–1,500.
- Additional location: USD 1,000–1,500.
- Retraining or style expansion: quote separately.

### Why it closes

- Clear deliverable.
- Bounded risk.
- Fits innovation budgets and production/VFX budgets.
- Can become a larger season package if results work.

## Offer 2: AI production-readiness audit

### Buyer

- Film fund.
- Broadcaster.
- Archive owner.
- Studio or production company.
- Media City / institutional partner.
- Rights holder with a large catalogue.

### Problem

The buyer knows AI matters but does not know what assets can be used safely, what rights are missing, or which workflows are realistic.

### Promise

A practical report showing where AI can be used safely with the buyer’s owned/authorised assets, what material is ready, what is missing, and which first pilot makes sense.

### Included scope

- Review of available asset categories.
- Rights/use-case mapping at a high level.
- Production workflow opportunities.
- Risk flags.
- Recommended pilot scope.
- Budget/timeline estimate.

### Indicative price

- USD 5,000–15,000 depending on catalogue size and depth.
- Can be discounted if converting to a model-development package.

### Why it closes

- Low commitment.
- Useful for institutions and cautious buyers.
- Creates trust before model training.
- Produces a roadmap for a paid pilot.

## Offer 3: Visual-bible and dataset package

### Buyer

- Animation studio.
- VFX house.
- Producer with a series/franchise.
- Rights holder preparing AI workflows.

### Problem

The buyer’s creative knowledge is scattered across episodes, design files, scripts, bibles, folders, and people’s memory. Before AI generation is useful, the project needs structured visual knowledge.

### Promise

Convert source material into a structured visual bible and training-ready dataset with character, location, prop, shot, caption, and provenance records.

### Included scope

- Ingest authorised episodes/assets.
- Extract frames and shot metadata.
- Tag characters, props, locations, actions, shot types, and visual attributes.
- Produce structured training records.
- Produce visual-bible and dataset-readiness report.

### Indicative price

- USD 7,500–25,000 depending on volume and complexity.

### Why it closes

- Valuable even before generation.
- Helps producers organize IP libraries.
- Makes later model package easier to approve.

## Later offers

### Managed secure inference

For clients who want Cultshot to host and operate model usage securely.

Potential model:

- setup fee;
- monthly retainer;
- usage/compute pass-through;
- support SLA.

### Localization workflow

For rights-cleared voice and language workflows.

Use carefully because voice rights and performer contracts can be sensitive.

### Derivative marketing content

Shorts, promo stills, key art, social variations, and pitch materials from approved model outputs.

### Rights-first AI production lab

A Qatar/MCQ-facing institutional offer:

- workshops;
- audits;
- pilot design;
- archive activation;
- demo projects;
- producer training.

## Qualification questions for buyers

Before quoting, ask:

1. What IP/project/library do you control?
2. Who owns or can authorise the source materials?
3. What assets are available: episodes, rushes, design packs, scripts, bibles, audio stems?
4. What use case matters first: keyframes, promo stills, VFX references, localization, derivative content, production planning?
5. Are outputs internal review only or external/public-facing?
6. What confidentiality/security constraints apply?
7. Who approves creative quality?
8. What timeline or market/festival deadline matters?
9. Do you need handoff of model weights or managed operation?
10. Are there any union, talent, broadcaster, or legal restrictions?

## Sales positioning

Use this line:

> Cultshot helps rights holders use AI on material they already control, with production-specific outputs and provenance, instead of relying on generic AI tools with unclear rights.

Do not use this as the main line:

> We make production cheaper with AI.

Cost reduction is a benefit. Trust, control, and rights clarity are the wedge.