ZeroGen

The AI-Powered DNA for Next-Gen Content Production

TRUSTED GENERATIVE PRODUCTION FOR THE WORLD'S BIGGEST BRANDS

ZeroSpace

Leading Tech Innovation in M&E

We have been trusted by the biggest brands and studios in the world to help them leverage emerging technologies to tell their stories in new and innovative ways.

Adidas
Chanel
Arcteryx
Showtime
Disney
ABC
Star Wars
Canon
Vice Media
Hermes
Dove
Vox Media
Amazon Studios
Moment Factory
Mercedes-Benz
AWS Partner
Maybelline
T-Mobile
Pepsi
Netflix
Sony
Hersheys
A&E
NVIDIA Inception
MSC Cruises
Cartier
Intel
CBS
P&G
Justin Bieber
Tidal
Runway
Ford
GAP
Cadillac
FedEx
LOreal
Unilever
Reeses
WSA
Bulgari
Smuggler
HBO
Warner Bros
Fortnite
Marc Jacobs
Marvel
HP
H&M
KITH
Red Bull
RTFKT
Puma
Nike
Calvin Klein
Epic Games
Old Navy
Macys
Meta
Universal Music
Apple TV
A24
Adobe
Unreal Authorized
ESPN
Columbia Pictures

THE ZEROSPACE ADVANTAGE

CONTENT & CREATIVE IP PRODUCTION & STUDIO TECH, R+D & TECHNICAL IP ZS INTERNAL ZS EXTERNAL
A MULTI-DISCIPLINARY

IMMERSIVE TECHNOLOGY &
INNOVATION STUDIO

AI TECHNOLOGIES · ICVFX / VP · xR / AR
3D/4D/VOLUMETRIC · PHOTOGRAMMETRY
MOTION CAPTURE · REAL-TIME GAME ENGINES ·
PIPELINE DEVELOPMENT & ENGINEERING

ZeroSpace ➜ ZeroGen

FROM SERVICE > PRODUCT

Brands are spending billions on AI they cannot legally trust with their most valuable assets.

Why Now

The AI content revolution is happening. The infrastructure to support it doesn't exist yet.

$255+ billion is spent annually on global content production. Studios spend tens of billions more. AI is beginning to compress those costs dramatically — and every major brand, studio, and agency knows it.

1
Generative AI has crossed the quality threshold.
AI-produced content is commercially viable. Enterprise adoption has moved from experimental to infrastructural.
2
Legal and regulatory pressure has reached a breaking point.
SAG-AFTRA AI agreements, emerging state-level likeness laws, and the EU AI Act are creating compliance obligations that brands and studios have no infrastructure to meet.
3
Enterprise platform decisions are being made now.
The companies embedded in these workflows in the next 18 months will be extraordinarily difficult to displace.

BUT THE TOOLS ARE MOVING FASTER THAN THE TRUST.

The Problem

No Memory. No Control. No Scale.

The Tools Don't Know Your Brand.

The Outputs Can't Be Trusted.

The Liability Lands on You.

A global brand. Forty agencies. Twenty-three AI tools running simultaneously across a campaign. Nobody knows which tools are training on proprietary product imagery and brand assets. Nobody knows which talent agreements cover AI-generated likeness. Legal blocks campaigns from shipping.

This is not a hypothetical. This is the current state of enterprise AI production.

The Problem

AI content tools have crossed the quality threshold. They haven't crossed the usability threshold.

Context

Every generation starts blind. No institutional memory, no brand grounding, no connection to the asset library that defines what your output is supposed to look like.

Control

Directors and brand creative teams don't work with slot machines. The unpredictability that makes these tools exciting for experimentation makes them unusable for production at scale.

Consistency

Likeness doesn't hold. Product accuracy drifts. Workflows don't learn. You cannot build a repeatable production pipeline on an inconsistent foundation.

Compliance

Legal landmines at every step: licensing ambiguity, training data exposure, NIL violations. Data leakage, No industry infrastructure. No clear leadership. Until now.

These aren't tool problems. They're infrastructure problems. And they require an infrastructure solution.

Competitive Landscape

Every obvious solution has a fatal flaw.

OpenAI Runway Midjourney
MODEL COMPANIES
HeyGen InVideo
CREATIVE TOOLS
Adobe
ADOBE / FIREFLY 		INTERNAL BUILDS
Conflict of InterestTrain on YOUR DataNo IP ProtectionContractual OnlyNone
Enterprise ReadyPartialMinimalCreative Cloud OnlySlow & Costly
Model AgnosticN/APartialNeverNo
Rights ManagementN/ANoNoLimited
Domain CredibilityTech, not M&ECreators, Not EnterpriseDesign, Not ProductionFragmented

No existing player is incentivized to build neutral, model-agnostic governance infrastructure. That's the white space. That's ZeroGen.

Competitive Landscape

HIGH CONTEXT & CONTROL LOW
Google Adobe
WHITE SPACE ZeroGen ZEROGEN
OpenAI Midjourney Runway HeyGen InVideo Higgsfield Luma
LOW STAKES PRODUCTION HIGH STAKES
MODEL AGNOSTIC = FLEXIBILITY
DEEP CONTEXT FOCUS
ENTERPRISE GRADE COMPLIANCE
HOLLYWOOD GRADE TOOLING

The Solution — Enterprise Infrastructure Layer

Making AI content tools legally safe and creatively viable for professional production.

Context

Brand Intelligence

Your entire brand archive lives inside ZeroGen's walled garden. Every generation starts knowing your brand.

Control

Workflow Orchestration Engine

Custom production workflows delivering character likeness, camera control, and style direction. Directors get repeatability. Creatives get precision.

Consistency

Learning Infrastructure

What works well is captured and repeated. Pipelines get more reliable over time. Repeatable workflows with validated brand parameters, and automated quality checks.

Compliance

Governance and Rights Management

Every model operates under enterprise DPAs. NIL management built in. Leverages pre-approved asset library. Every output carries a complete audit trail.

Why Us

  • 6+ years as leaders in technology innovation in production
  • Hybrid identity : creative agency + production studio + tech lab + development
  • Trusted partner to the biggest brands, studios, and directors in the world.
  • Product and solutions development experience (NVIDIA, Unreal, Disguise (The Sphere) etc.)
  • Own unique datasets and workflows (volumetric, mocap, photogrammetry) + VP integration

We Are Already in the Rooms Where This Decision Gets Made.

We have been trusted by the biggest brands and studios in the world to help them leverage emerging technologies to tell their stories in new and innovative ways.

Adidas
Chanel
Arcteryx
Showtime
Disney
ABC
Star Wars
Canon
Vice Media
Hermes
Dove
Vox Media
Amazon Studios
Moment Factory
Mercedes-Benz
AWS Partner
Maybelline
T-Mobile
Pepsi
Netflix
Sony
Hersheys
A&E
NVIDIA Inception
MSC Cruises
Cartier
Intel
CBS
P&G
Justin Bieber
Tidal
Runway
Ford
GAP
Cadillac
FedEx
LOreal
Unilever
Reeses
WSA
Bulgari
Smuggler
HBO
Warner Bros
Fortnite
Marc Jacobs
Marvel
HP
H&M
KITH
Red Bull
RTFKT
Puma
Nike
Calvin Klein
Epic Games
Old Navy
Macys
Meta
Universal Music
Apple TV
A24
Adobe
Unreal Authorized
ESPN
Columbia Pictures

Traction

AWS

AWS Awarded Grant

We have been awarded a co-development grant from AWS, allowing us to streamline the POC MVP backend for the image and video intelligence layer; preferred statuses.

Chanel

Chanel

We have led multiple AI production and R&D projects for Chanel, and are positioned as their goto partner for all AI tooling and production needs.

NVIDIA

NVIDIA Inception Program

We are part of the NVIDIA accelerator program built for AI startups. Inception program members have access to the latest developer tools and training, preferred pricing on NVIDIA hardware and software, exclusive offers from partners, and exposure to a global ecosystem of investors, and six figures in processing credits.

CAA

CAA / 300 Entertainment

We are currently engaged in a project with CAA to standardize digital NIL formats and protocols positioning us to be the goto for the biggest talent pools in the world as digital avatars become increasingly popular.

Community & Education

Machine Cinema Comfy Alibaba Shopify GDG
DONNY Macys Runway

TAM

Built from the bottom up — not the top down.

We're not going after the entire AI market. We're going after the specific, high-value slice where AI adoption is accelerating fastest and the governance gap is most acute.

$255B+
Global content spend projected by 2026
$317B
Projected Social Media Advertising Spending 2026
$1.14T
The advertising ecosystem sitting on top of it

These numbers represent the spend that ZeroGen's clients are directly responsible for. Every dollar requires content to be created — and none of it has the governance infrastructure to use AI safely at scale.

Market Opportunity

Beachhead TIER 1

~200 organizations globally: major studio groups, brand holding companies, and agency networks.

Avg Contract
$500K–$2M
Expansion TIER 2

~2,000 organizations: large independent brands, production companies, and mid-size agencies.

Avg Contract
$150K–$500K

6 TIER 1 CLIENTS (15 MONTHS) = $3M+ ARR

And we're starting with warm relationships across our Tier 1 target list.

Business Model

01

Platform Access

Annual contract. Walled garden infrastructure, compliance tooling, audit dashboard, model integration access.

$150K - $500K
Per Year
02

Usage Consumption

Scales automatically with production volume. Generation volume, model orchestration, asset library size, active users. Grows as client AI adoption scales, no new sales cycle required.

03

Premium Modules

High-margin add-ons for highest-value, highest-liability use cases.

Talent Likeness Management: $75K - $200K/yr
Brand Accuracy & Consistency: $50K - $150K/yr
Compliance & Legal Reporting: $50K - $100K/yr

TOTAL - $2M+
GROSS MARGIN TARGET: 75%+

Use of Funds

45% Engineering & Platform 25% Enterprise Sales & Client Success 15% Legal, Compliance & Security 15% Operations & Reserve

Priorities

  • Core team build-out, Platform v1 & infrastructure, Integrations (DAM/MRM, APIs)
  • VP Sales, enterprise AEs, client success function
  • SOC 2 Type II, IP transfer, AI regulatory counsel
  • G&A, partnership development, runway buffer

The Ask

Raising $10M Seed

18-Month Milestones This Round Funds

✓ Platform v1 in production — Month 9

✓ 3 paying enterprise clients signed — Month 12

✓ $3M ARR established — Month 15

✓ Series A ready — Month 18

What We're Coming In With

• Deployed AI workflows in production for enterprise clients

• Warm relationships across the majority of our Tier 1 target list

• Active enterprise conversations converting to ZeroGen contracts

• Proprietary data assets and ecosystem partnerships already in place

What We're Asking Investors to Bring Beyond Capital

Media and entertainment industry relationships. Enterprise SaaS scaling expertise. Strategic introductions to Tier 1 prospects not yet in our network.

The Team

Jon Kreutzer

Jon Kreutzer

CEO / ZeroSpace Founder

Multidisciplinary entrepreneur with a track record in immersive media, live events, e-commerce, and creative production. Produced experiences attended by over 100,000 people and led campaigns seen by tens of millions. Work has ranged from building award-winning entertainment spaces in Manhattan to delivering productions for brands like Disney, Netflix, Amazon, Meta, and Nike.

Hal Lovemelt

Hal Lovemelt

Strategy, Creative, Marketing, Product

Pioneering creative technologist, AI specialist, and performance capture innovator. Held patents in camera and compositing workflows, founded award-winning interactive studios, and helped define the language of generative imagery before most knew what a prompt was.

Xuelong Mu

Xuelong Mu

Technical Lead

Builds systems at the intersection of storytelling, real-time engines, and generative production. Foundation in mechanical engineering spanning volumetric capture, AR/VR, Unreal Engine development, and AI-enhanced pipelines. Led technical efforts for Nike, Cesium, and large-scale live experiences.

Josh Davis

Josh Davis

Senior AI / ML Developer

Veteran designer, coder and hardware specialist working in visual arts for 20+ years. TED speaker and technological art influencer. Best known as the creator of praystation.com, winner of the Prix Ars Electronica 2001 Golden Nica for "Net Vision / Net Excellence".

DC

Derek Chan

Technical Artist
YZ

Yilin Zhang

Technical Artist

Creative production has crossed three eras—traditional, then virtual, and now fully generative. ZeroSpace led the virtual wave; ZeroGen will lead the generative era.

●

Appendix

The Shift Is Happening Now

  • Three months ago: 'We don't want AI touching our brand.'
  • Today: 'How fast can you get us a compliant AI production pipeline?'

How ZeroGen Solves the 4 C's

Context

Problem: Every generation starts blind.
Solution: Your entire brand archive lives inside ZeroGen's walled garden. Every generation is grounded in institutional memory — style guides, product imagery, campaign history.

Control

Problem: AI output is unpredictable.
Solution: Custom production workflows delivering character likeness, camera control, and scene fidelity. Directors direct. AI executes.

Consistency

Problem: You cannot scale what you cannot repeat.
Solution: What works well is captured and repeated. Pipelines get more reliable over time. Repeatable workflows with validated brand parameters.

Compliance

Problem: Legal landmines at every step.
Solution: Every model operates under enterprise DPAs. NIL management built in. Production-grade rights management from day one.

Future-Proof Your Data and Workflows

Model and tool agnostic by design. ZeroGen's orchestration layer means your brand context, production workflows, and compliance framework persist regardless of which AI models come and go. Be primed and ready for what comes next.

ZeroGen Product Overview

An AI-driven central nervous system for enterprise content production. Deep context orchestration layer powering generative production tools.

  • Data Onboarding: Image/video archive, social media, style guides, brand assets ingested into a secure walled garden
  • Orchestration Engine: Context-aware workflow routing across models and tools
  • Generative Production Tools: Image, video, 3D — all grounded in brand truth
  • Governance Layer: Rights management, audit trails, compliance automation

Product Capabilities

[ICON]

Contextual Intelligence

Brand DNA injection into every generation. Style, product, likeness grounding.

[ICON]

Multimodal Production

Image, video, 3D asset generation with professional-grade control.

[ICON]

Greybox Scene Design

3D previs to generative output. Pose, depth, camera control.

[ICON]

Video-to-Video (LoRA)

Fine-tuned likeness and style transfer for video content.

[ICON]

Volumetric + AI

Volumetric capture feeding AI likeness models. Camera recreation, background replacement.

[ICON]

Workflow Automation

Auto-captioning, vision steps, quality checks. Pipelines that improve with every run.

Data Moat Economics: Why Clients Stay

While competitors offer surface-level tool access, ZeroGen builds a compounding data moat around each client. Every campaign, every approved output, every workflow refinement deepens the platform's understanding of the brand. Switching costs grow with every successful production.

Virtual Production - ICVFX

MSC Cruises Super Bowl Commercial

For MSC Cruises' high-profile Super Bowl commercial, ZeroSpace delivered end-to-end virtual production with ICVFX and 3D environment creation.

MSC Cruises 1 MSC Cruises 2 MSC Cruises 3
Virtual Production - ICVFX

Netflix - Mike Tyson x Jake Paul

In anticipation of the upcoming Mike Tyson vs Jake Paul fight, ZeroSpace provided virtual production and ICVFX services for the Netflix production.

Netflix Tyson 1 Netflix Tyson 2
Virtual Production - ICVFX

HBO - The Penguin

HBO hit series The Penguin. Our cutting-edge virtual production stages enabled the creation of immersive Gotham environments. By harnessing virtual production, we enabled the production to achieve cinematic quality at speed.

HBO Penguin 1 HBO Penguin 2 HBO Penguin 3

Business Model

Enterprise SaaS (Hybrid)

  • Platform Fees — Access to ZeroGen production tools and orchestration engine
  • Data Onboarding Services — Ingestion, tagging, brand DNA buildout
  • Managed Production — White-glove generative production services for key accounts
  • Compute/Usage — Tiered pools with cost guardrails

Financials & Projections

$4-6M
Year 1 ARR
10-15 clients
$15-22M
Year 2 ARR
25-35 clients
$35-50M
Year 3 ARR
45+ clients
75%+ Target Gross Margin

Next Steps

What We Have

• Production-proven AI workflows deployed for Fortune 500 clients

• AWS co-development partnership & grant

• Deep brand relationships & active pipeline

• 6+ year production track record

• Core technical team in place

What We Need

• $10M seed to productize proven service workflows

• Engineering team scale-up (platform + ML)

• Enterprise sales & GTM build-out

• Legal & compliance infrastructure

• Strategic investor network & introductions

Roadmap

MONTH 0 - 4 CORE INFRASTRUCTURE Data ingestion Orchestration engine Compliance layer MVP deployed MONTH 3 - 6 ORCHESTRATION Workflow builder Model routing Brand grounding v1 GA launch MONTH 4 - 9 CLIENT INTEGRATION Production suite Client-facing UI Enterprise onboarding 8-12 enterprise clients MONTH 9 - 18 GOVERNANCE & SCALE Multi-tenant platform Self-serve onboarding Marketplace Series A metrics