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Automated Advertising Content Generation
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Stellitron
Automated Quality Assurance for the Generative AI Advertising Era
Contact listed in the concept
contact@stellitron.com
Tagline
Seed+ / Pre-Series A Deck | Powered by Stellitron
Proposed funding ask
$1,500,000
Proposed value
T2AV-Compass: Benchmarking AI Video/Audio Sync
Automated Instruction Following Evaluation
Reducing Manual Agency Review Time by 85%
The Generative Quality Bottleneck
The challenge
While 90% of advertisers will adopt GenAI for video by 2025, agencies are drowning in high-volume, low-fidelity outputs that fail to meet brand standards.
Pain points
Multimodal Drift: Audio and video often lose synchronization in long-form AI generations.
Instruction Drift: AI models frequently ignore specific marketing brief constraints (Instruction Following).
Manual Overhead: Creative Directors spend 10+ hours/week manually vetting AI drafts for brand safety.
Research claim
- Label
Potential reduction in manual review time with automated QA gating
- Value
85%+
- Source
Stellitron Internal Agency Pilot Study
Generated impact claims
- Value
35-50%
- Metric
AI Ad Failure Rate
- Context
Creatives failing brand safety or sync benchmarks in initial generation
- Citation
- Field
AI Ad Failure Rate
- Source
IAB 2025 Video Ad Spend Report
- Generated confidence label
high
T2AV-Compass by Stellitron
Steps
- Desc
Upload AI-generated video/audio assets and the original marketing brief.
- Title
Ingest
- Desc
T2AV-Compass analyzes temporal audio cues against visual frames.
- Title
Evaluate
- Desc
Receive an 'Ad-Ready' score and automated feedback for model refinement.
- Title
Certify
Description
A specialized evaluation layer that acts as an automated QA gate for AI-generated ads, scoring outputs on synchronization, instruction following, and conversion readiness.
Architecture
- Inputs
Raw Video/Audio Files
JSON Marketing Briefs
Brand Guidelines
- Outputs
Compass Quality Score
Sync Error Heatmaps
Refinement Metadata
- Processing layers
Multimodal Alignment Transformer
Instruction Compliance Engine
Brand Safety Guardrails
- Integration points
Adobe Firefly API
AWS Nova
Custom Agency Workflows
Defensibility
- Moat over time
Network effect: Benchmarks become the industry standard for 'Ad-Ready' certification.
Data compounding: Each evaluation improves our proprietary 'Conversion-Ready' prediction model.
High switching costs: Deep integration into agency-side CI/CD pipelines for creative assets.
- Technical moat
Zero-shot evaluation of temporal audio-visual synchronization specifically for commercial lengths (15s/30s/60s).
- Why hard to copy
Proprietary benchmark dataset of 500k+ high-performing vs. low-performing commercial creatives.
- Platform advantages
Agnostic 'Switzerland' strategy; we evaluate outputs from Adobe, Amazon, and Luma without ecosystem bias.
Market Opportunity
Serviceable market
$30 Billion (Digital Video & AI Creative Services)
Obtainable market
$1.2 Billion (Target Automated QA Niche)
Total addressable market
$2.4 Trillion (Global E&M Market 2025-2029)
Quote
The sector's shift to digital-first models is driving an 8.1% surge in ad revenues, necessitating automated scale.
Bottom up analysis
- Pricing model
SaaS Platform Fee + Usage-based API credits per minute of video analyzed
- Customer segments
Generated market-sizing assumptions · unverified Segment Customer count Avg contract value Total addressable Tier-1 Global Ad Agencies
200 holding groups
$250k/year
$50M
Mid-Market Performance Agencies
5,000 firms
$45k/year
$225M
Competitive Landscape
Features
| Feature | Adobe Sensei | Superside | Stellitron |
|---|---|---|---|
| AV Sync Evaluation | Low | None | High |
| Instruction Benchmarking | Medium | High | High |
| Platform Agnostic | Low | High | High |
Competitors
Adobe Sensei
Superside
Stellitron
Big tech players
- Company
Amazon (Nova)
- Threat level
medium
- Generated competitive assessment
Primarily focused on retail ad generation within AWS ecosystem, not third-party quality benchmarking.
- Company
Adobe (Firefly)
- Threat level
high
- Generated competitive assessment
Focuses on their own creative suite; agencies use multiple tools and need a neutral evaluation layer.
Build vs buy analysis
Agencies prefer buying Stellitron to avoid the $2M+ R&D cost of building internal multimodal scoring models.
Business Model
Streams
- Desc
Platform access for large ad agency holding groups with custom brand guardrails.
- Title
Enterprise SaaS
- Value
$10k - $50k / mo
- Desc
Usage-based pricing for automated video/audio synchronization analysis.
- Title
API Usage
- Value
$0.50 / min
- Desc
One-time fee for 'Ad-Ready' certification reports provided to brand clients.
- Title
Certification Fees
- Value
$1k / campaign
Traction & Validation
Unverified customer or partner names
Fortune 500 Media Group
Global Retail Brand
Indie Creative Lab
Unverified pilot claims
- Value
$80k
- Status
signed
- Partner
Global Tier-1 Media Agency
- Testimonial
The only tool that catches sync errors before the client does.
Metrics
| Label | Value |
|---|---|
Beta Launch | Q4 2025 |
LTV/CAC | 5.2x |
Committed Pilots | $120k |
Unverified testimonial
Stellitron's T2AV-Compass allowed us to scale our AI creative output by 4x without increasing our QA headcount.
Unverified validation claims
| Metric | Before | After | Improvement |
|---|---|---|---|
QA Efficiency | 45 mins/ad | 6 mins/ad | +86% |
Financial Projections
Projected indicators
- LTV / CAC
5.2x
- Year 5 EBITDA
42%
- CAC payback
11 Months
Revenue projections
| Year | Revenue |
|---|---|
2025 (Y1) | $450k |
2026 (Y2) | $1.85M |
2027 (Y3) | $5.2M |
2028 (Y4) | $14.5M |
2029 (Y5) | $38.0M |
Operating assumptions
- Sales hires
3
- Headcount y1
10
- Headcount y2
18
- Headcount y3
30
- Runway months
18
- Burn to milestone
Series A ready at $1M ARR
- Engineering hires
6
- Avg burn per month
$120k
The Ask
Round
Seed+
Amount
$1,500,000
Runway
18 Months
Milestones
- Metric
$1M ARR
- Milestone
Top 10 Agency Integration
- Timeframe
Q2 2026
- Metric
3 Patents Filed
- Milestone
Multimodal Patent Hub
- Timeframe
Q3 2026
Use Of Funds
| Category | Percentage | Amount |
|---|---|---|
R&D | 50% | $750k |
GTM & Sales | 30% | $450k |
Compute/Infra | 15% | $225k |
Ops/Legal | 5% | $75k |
Runway breakdown
- Months
18
- Key milestones
Product Launch Q1 2026
10 Enterprise Pilots
Positive Unit Economics
Exit Strategy
Scenarios
- Type
Strategic Acquisition
- Timeframe
4-6 years
- Valuation
$190M
- Probability
65%
- Potential Acquirers
Adobe
Salesforce
Publicis Groupe
- Type
IPO
- Timeframe
7-9 years
- Valuation
$450M+
- Probability
10%
Comparable Exits
- Year
2024
- Company
Persado (Growth Stage)
- Exit Type
Private Equity Interest
- Exit Value
N/A
Risk Analysis
Risks
- Risk
Platform lock-in by Adobe/Amazon
- Category
Market
- Mitigation
Maintain neutral 'benchmarking' status as a third-party auditor.
- Risk
Compute costs for video rendering
- Category
Technical
- Mitigation
Implement tiered processing using optimized small models for draft scoring.
- Risk
Copyright on AI Training Data
- Category
Regulatory
- Mitigation
Use only licensed datasets (Adobe Stock) and provide legal indemnification.
Sources & References
Contact listed in the concept
contact@stellitron.com
Sources
- Type
Market Analysis
- Title
PwC Global E&M Outlook 2025-2029
- Type
Industry Statistics
- Title
IAB 2025 Video Ad Spend Report
- Source link
- https://www.ey.com/en_in
- Type
Regional Market Data
- Title
FICCI-EY M&E Report 2025
Disclaimer
This pitch deck is for illustrative purposes. Financial projections are based on current market trends as of December 2025.
Data sources
Exa AI Web Search (Dec 26, 2025)
PwC Financial Projections
Stellitron Internal Pilot Data
Generated by
Stellitron AI
The PDF includes a contact slide and a clickable link to reach us on every page.
stellitron.com/contact