INVESTMENT OPPORTUNITY

The only on-premise AI pipeline
that keeps IP safe and characters consistent.

NovelForge is an end-to-end local AI system that generates illustrated novels — text, images, HTML reader, web publishing — with zero external API calls. The Character Consistency Engine ensures faces match across every chapter. Enterprise-ready. GPU-native. Zero API cost.

INVESTMENT THESIS

The AI-generated content market has produced $70M ARR companies. But every player relies on cloud APIs — leaking customer IP and breaking character consistency. NovelForge is the only vertically integrated, on-premise pipeline that solves both. This is the infrastructure layer the market is missing.

Schedule a Call → Read the Thesis
Local AI Pipeline On-Premise AI Zero API Cost IP-Safe Generation Character Consistency Engine End-to-End Automation GPU-Native Workflow Enterprise-Ready
THE PROBLEM
Every AI content company has the same three fatal flaws.
FLAW 01
IP Leakage by Design
Cloud-based AI tools require sending character designs, world-building, and proprietary IP to third-party APIs. Every prompt is a potential training data point for someone else's model.
Publishers and game studios won't send their crown-jewel IPs to OpenAI's servers. They need an alternative.
FLAW 02
Character Consistency Is Unsolved
Generate a 10-chapter novel with any existing tool and the protagonist's face changes every chapter. For IP-driven content, this is a dealbreaker. No current solution guarantees visual consistency at scale.
HOLYWATER hit $70M ARR but faces criticism for quality inconsistency across AI-generated content.
FLAW 03
No Vertical Integration
Today's workflow: ChatGPT for text → Midjourney for images → manual HTML → manual publishing. Four disconnected tools, four failure points, zero automation. The pipeline doesn't exist — until now.
Content teams spend 70%+ of their time on assembly, not creation.
OUR SOLUTION
One YAML config in.
Illustrated novel out.
NovelForge is a GPU-native, end-to-end automation pipeline that turns a single YAML configuration file into a complete illustrated novel — published to the web — with zero external API calls.
  • ✓IP-Safe Generation — Fully on-premise. No data leaves the network. Ever.
  • ✓Character Consistency Engine — YAML-defined SD appearance tags auto-applied to every chapter. Age/attribute inference prevents visual drift.
  • ✓Long-Form Coherence — Plot thread tracking, character state management, chapter-summary handoff across 50+ episodes.
  • ✓Auto Quality Control — Repetition loop detection, language contamination removal, auto-retry with fallback.
  • ✓One-Click Sequel — Feed finished work → LLM summarizes → auto-generates sequel config. Series at scale.
  • ✓Zero API Cost — Ollama (local LLM) + Stable Diffusion WebUI. Running cost = electricity only.

TECHNICAL ARCHITECTURE

Total Codebase9,774 lines Python
Core Modules9 integrated
Text EngineOllama (local LLM)
Image EngineStable Diffusion WebUI
Memory SystemJSON state tracking
Quality ControlLoop + language detection
OutputHTML reader + TTS + Git
External API CallsZero
Min. Hardware1× RTX 4090 GPU
DependenciesPyYAML, Flask, Rich, Requests
WHY WE WIN
Three structural moats that can't be replicated overnight.
These aren't features — they're architectural decisions that compound over time.
MOAT 01
On-Premise Architecture
Every competitor is built on cloud APIs. Retrofitting a SaaS product for on-premise deployment requires a full architectural rewrite. We started local-first. This is a structural advantage, not a feature toggle.
MOAT 02
Character Consistency Engine
YAML-defined SD prompt tags + age/attribute inference + auto-application across all chapters. This isn't prompt engineering — it's a pipeline-level system spanning 9,800 lines of integrated code. Deep, not wide.
MOAT 03
Vertical Integration
Text generation → quality control → illustration → HTML packaging → Git publishing — one system, one config, one execution. Point solutions (text-only, image-only) can't replicate the integrated value without rebuilding from scratch.
MARKET OPPORTUNITY
The market has validated demand. The infrastructure hasn't caught up.
$4.5B+
TAM: AI Content Generation (2026)
Web novels, light novels, visual novels, novelization, media mix — global addressable market for AI-assisted content creation.
$300M+
SAM: Enterprise IP Expansion
Publishers, game studios, film production — companies with existing IP seeking AI-powered content expansion.
$80M+
SOM: JP Enterprise (Year 3)
Japan-first go-to-market targeting 50+ content companies, expanding to APAC and Western markets.
Inkitt
$300M
Valuation
HOLYWATER
$70M
ARR
Holoworld AI
$90M+
Market Cap
Sudowrite
~$3M
Est. ARR

COMPETITIVE LANDSCAPE — DIFFERENTIATION

CompanyScaleStructural Weakness
HOLYWATER$70M ARRCloud-only. IP leakage. Author backlash.
Inkitt$300M val.Cloud-only. Trust erosion with authors.
NovelAISubscriptionNo long-form coherence. No illustration pipeline.
Sudowrite~$3M ARRAPI-dependent. No image generation. No publishing.
NovelForge Pre-revenue Only on-premise, vertically integrated pipeline.
REVENUE MODEL
Three-layer revenue architecture.
High-value enterprise as the anchor, recurring creator subscriptions for scale, education for expansion.
LAYER 01 — HIGH VALUE
Enterprise Deployment
On-premise installation + customization for publishers, game studios, and film production companies. IP-safe novelization and spin-off production at scale.
  • Setup Fee$30K–$70K
  • Monthly Retainer$3K–$7K
  • Target Customers50+ (Japan)
  • ExpansionAPAC → Global
LAYER 02 — RECURRING
Creator SaaS
Monthly subscription for indie authors, web novel writers, and doujin creators. Self-hosted, zero API cost, full ownership of output.
  • Price$65/mo
  • TAM (Japan)100K+ creators
  • Target MRR (Y1)$7K
  • ModelFreemium → Pro
LAYER 03 — EXPANSION
Education & Training
AI literacy workshops for schools, governments, and corporate training. "Write with AI" hands-on programs. Instructor dispatch + Train the Trainer.
  • Per Session$700–$3,500
  • Target40K+ schools (JP)
  • ModelScalable via TtT
  • Side EffectCreator funnel
TRACTION
What's been built.
9,774
Lines of production code
9
Integrated modules
3
Market segments validated
5
Landing pages live
RISK FACTORS
Risks and mitigations.
Local LLM Quality Ceiling
Local models (14B parameters) are weaker than GPT-4 / Claude.
→ Human-in-the-Loop by design. Auto quality control raises the floor. OSS models improve monthly (Qwen, Llama, Gemma).
Solo Founder / Key Person Risk
Currently a one-person development operation.
→ Codebase is modular (9 separated modules), fully documented. Team expansion is immediate upon funding.
Big Tech Entry
OpenAI or Google could build a competing tool.
→ Big Tech is structurally locked into cloud APIs (that's their business model). "On-premise + IP-safe" is the one thing they can't offer without cannibalizing themselves.
AI Regulation
Emerging copyright and disclosure rules for AI-generated content.
→ On-premise + OSS models + Human-in-the-Loop = most regulation-friendly architecture. "Human approves every output" is the safest legal posture.
DEAL STRUCTURE

Acquisition, investment, or partnership — let's talk.

We're open to multiple deal structures. Start with a 30-minute call to see the product in action.

Full Acquisition
Complete technology stack (9,800 lines), documentation, customer pipeline, brand, and domain — turnkey transfer.
Investment / Funding
Seed to Series A. Capital for engineering team, go-to-market acceleration, and multi-language expansion.
Strategic Partnership
Co-development with publishers, game studios, or content platforms. Pipeline customization for existing IPs.
Schedule a Call → ✉ admin@wkjp.net

Direct: admin@wkjp.net

This page does not constitute a solicitation of investment. Market data is based on publicly available estimates and does not guarantee future performance. All investment decisions should be made at your own discretion. Confidential — for qualified investors, acquirers, and strategic partners only.