The Trust Infrastructure
for Video Evidence in the AI Era
A deterministic video authenticity proof platform that does not rely on any specific AI model
AI-VideoAuth™ is a patent-pending platform that mathematically proves video originality and detects post-registration tampering — verifiable by any third party, even years later.
Contact for Investment DiscussionProblem — Why Now
Why this must be solved now
The Trust Crisis of Video Evidence
- Generative AI and editing AI make it increasingly impossible for humans (and even AI) to determine authenticity after the fact
- Probabilistic AI detection (Real/Fake) is insufficient for legal evidence, journalism, or corporate records
- As long as tampering detection relies on post-hoc judgment, evidence credibility cannot be established
💡 In the AI era, probabilistic detection is no longer enough. What is required is deterministic proof.
Existing Approaches & Their Limits
Limitations of current methods
| Approach | Limitation |
|---|---|
| AI Generation Detection | Probabilistic, model-dependent, not reproducible |
| Digital Signature | Cannot prove differences from the original video over time |
| Blockchain | Poor compatibility with large video files / cost & complexity |
| Hash Only | Cannot detect edit history or semantic alterations |
Our Breakthrough — A Step-Change
A discontinuous solution
Fix the Video State at the Moment of Registration
AI-VideoAuth does not attempt to guess authenticity after the fact.
Instead, it cryptographically fixes the video’s state at registration time.
- Decompose the video
- Fix the features
- Store as an immutable chain structure
- Even if AI models change
- Even years later
- Any third party can re-verify with identical, reproducible results
Core Concept
Immutable Hash-Chain Structure
Original Video Source video file |
| ↓ |
Feature Extraction Extract features & decompose frames |
| ↓ |
Hash-Chain Registration Register to a hash chain |
| ↓ |
Immutable Proof Tamper-proof certification |
| ↓ |
Third-Party Reverification Independent verification |
- Verification depends on structure — not on models
- AI plays a supplementary role (replaceable)
- Deterministic, reproducible results
- Independent of any single AI vendor (no lock-in)
※ Detailed algorithm is confidential (patent filed)
Why This Matters
Why investors should pay attention
Court-admissible
video evidence
Restore trust in
news & media
Corporate compliance
& internal records
Trust infrastructure for
the AI content era
👉 Video authenticity becomes a foundational layer of the next internet.
Traction
Early milestones
Platform Launched
Dec 2025 (MVP → Production)
PR TIMES Distribution
- 150+ PV on day one (earned media)
- 20+ major media reprints
Patent Filed
- Japan domestic (defensibility)
- PCT international application
Global Interest
Inbound interest from overseas VCs and engineers
Business Model
Revenue strategy
Current: SaaS Subscription
- Free tier
- Pro plan
- Business plan
Future Expansion
- API offering
- Enterprise solutions
- Legal / media licensing
Investment Ask
We are raising a $1–3M Pre-Seed / Seed round.
Goal: Establish AI-VideoAuth as the verification layer for AI-era video evidence.
Use of Funds
- Product refinement (verification UX, reliability, speed)
- Enterprise-grade verification (audit logs, access control, SLAs)
- International patent expansion (PCT national phase strategy)
- Strategic partnerships (legal/media/enterprise pilots)
We are currently opening discussions with early-stage investors.
Contact for Investment Discussion👉 Technical Deep Dive / Live Demo available upon request