Annex 5 Product Vision
Overview
Dreamshot is the Visual Operating System for marketing teams. We help brands generate customized visuals for every person, eliminating ad fatigue and transforming the unit economics of content production.
Competitive Position: Jasper for images AND videos - combining quality, scale, and prediction.
Problem We Solve
Market Context
- $680B global digital advertising market
- 7 impressions before ad fatigue sets in
- Analog production can't keep pace with hyper-segmentation demands
The Pain
Marketing teams face an impossible choice:
- Quality at low volume - Human-made content that performs but can't scale
- Volume at low quality - Generic assets that scale but don't convert
The result: brands either overspend on production or underperform on engagement.
Our Solution
AI Creative Engine that delivers quality AND scale:
- x500 content for the same budget
- 3x engagement lift vs human-made ads (validated with KIA)
- Production in hours not weeks
The Agentic Content Loop
Our core product architecture is a closed-loop system that continuously improves creative output:
┌─────────────────────────────────────────────────────────────────────────────┐
│ AGENTIC CONTENT LOOP │
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ BRIEF │───▶│ GENERATE │───▶│ VALIDATE │───▶│ PUBLISH │ │
│ │ (Project)│ │ (Auto) │ │ (Score) │ │(Platforms)│ │
│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
│ ▲ │ │
│ │ ▼ │
│ │ ┌──────────────────────────────────────┐ │
│ └──────────│ LEARN FROM METRICS │ │
│ └──────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────────────────┘
1. Brief
Users create projects with:
- Campaign objectives and brand context
- Platform targets (Meta, TikTok, Google, Shopify)
- Linked assets (products, models, brand elements)
- Output schedule (frequency, formats)
2. Generate
Automatic generation from briefs:
- Context-aware prompting using brand and campaign data
- Multi-format output (images, videos, ads)
- Scheduled production without manual intervention
3. Validate
Quality scoring before publication:
- IQA (Image Quality Assessment): 8 technical and aesthetic metrics
- CTR Prediction: 0.7359 Spearman correlation with real ad performance
- Approval workflows for human oversight
4. Publish
Direct platform integrations:
- Meta Ads: Campaign creation and management
- Shopify: Product image sync
- TikTok: Ad creative delivery
- Google: Display network publishing
5. Learn
Feedback loop that improves over time:
- Collect performance metrics (impressions, CTR, conversions)
- Identify successful patterns
- Auto-adjust generation parameters
Technical Capabilities
Image Quality Assessment (IQA)
8-metric scoring system for every generated image:
- Aesthetic quality
- Technical quality (sharpness, exposure, color)
- Composition analysis
- Brand consistency
CTR Prediction Model
Machine learning model trained on millions of ad impressions:
- 0.7359 Spearman correlation with actual click-through rates
- CLIP + brand embeddings architecture
- Pre-publication performance prediction
- Replaces gut feeling with data-driven selection
Platform Integrations
| Platform | Capability | Status |
|---|---|---|
| Meta Ads | OAuth, campaign creation | Active |
| Shopify | Product sync, image publish | Active |
| TikTok | Ad creative delivery | Planned |
| Display network | Planned |
Current Traction
| Metric | Value |
|---|---|
| ARR | €360k |
| Growth | 9 months with no sales team |
| Gross Margin | 75% |
Enterprise Customers
- Toyota - Global automotive
- KIA - Automotive marketing (3x engagement lift validated)
- Cupra - Performance automotive
- OK Mobility - Mobility services
Related Documents
- Annex 1: Quality Policy - Mission, vision, values