M2M RWA Settlement Protocol

The Layer
Every Agent
Must Cross.

AI agents are already managing capital. But when they try to settle real-world assets — private equity, real estate, rare earth — they hit a wall. ONE77 is the infrastructure that removes it.

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$16T
RWA Market by 2030
BCG, 2023
$3.2T
US Addressable Market
BlackRock / BCG
0.1s
Target Settlement Time
vs 3–7 days today
Agent Tx Growth vs Human
Gartner 2026
The Problem

The Human Bottleneck

Agents can execute thousands of decisions per second. But the moment they touch real-world assets, they're forced to wait for humans. Days, not milliseconds.

01 / BARRIER
Asset Unit Wall

A single Gangnam building costs hundreds of billions of KRW. Private equity minimums lock out all but institutional capital. Trillions in dormant value sit untouched.

02 / FRICTION
Analog Settlement

Appraisers. Lawyers. Trustees. Every RWA transaction requires 3–7 days of human processing. AI agents operate in milliseconds. The mismatch is total.

7d
03 / VOID
No M2M Infrastructure

AI agents are already managing capital globally. But there is zero infrastructure for machine-to-machine settlement of non-financial real-world assets. Anywhere on Earth.

The Protocol

ONE77 Architecture

Three layers. One protocol. Agents discover, price, and settle real-world assets without a single human intermediary.

Discovery Layer 자산 탐색
On-chain RWA Registry

Agents query real-world assets by type, yield, and jurisdiction in real time. Private equity, real estate, carbon credits, rare earth — every asset class, one endpoint.

Settlement Engine 정산 엔진
Smart Contract Escrow

IoT-verified data triggers automatic settlement. EVM-compatible chains. Sub-second finality. No human approval required at any stage of the transaction.

Compliance Rail 컴플라이언스
Built-in KYC · AML · Routing

Jurisdiction-aware transaction routing. KYC and AML hooks embedded directly in the protocol layer. US, EU, Korea simultaneously. No external legal middleware.

"The latency is not minutes. It is days. We're ending that."

— ONE77 Protocol Thesis
Data Infrastructure — Snowflake
Cortex AI Real-time asset pricing from NEXTRADE order flow + RICHGO property data in under 100ms.
Data Marketplace Fragmented RWA data — securities, real estate, commodities — unified into a single agent endpoint.
Data Sharing Multi-institution settlement trust. Data sovereignty preserved. No copy, no latency.

The $16 Trillion
Liquidity Event

$16T
BCG · CITI · 2030 PROJECTION

Ten times larger than the entire AI software market. BlackRock, Franklin Templeton, and Fidelity are already moving on-chain. The protocol layer that captures this flow wins everything.

TAM $16–24T Global RWA tokenization by 2030. BCG conservative estimate.
SAM $5–7T Non-financial RWA long tail — the segment no existing DeFi infrastructure touches.
SOM $160B 0.1% initial capture in 18 months. At 0.05% take rate → $80M annual protocol revenue.
Rate 0.05% Per settlement. Volume-based. Scales automatically with agent activity.
Business Model

Four Revenue Streams

The more agents compete on our protocol, the more our revenue grows — automatically. Their compute cost. Our upside.

01
Transaction Fee
0.05% per settlement

Every RWA settlement processed through ONE77 generates an automatic fee. $1B monthly volume → $500K monthly revenue. Scales with agent activity. No marginal cost.

02
Open Store Commission
10–30% of subscription revenue

Developers list their agents on the ONE77 store. End users subscribe. Shopify model — builders earn MRR, ONE77 takes a platform cut. Operating cost: zero.

03
B2B Data Sales
Institutional · Quant funds

Real-time RWA trading data generated exclusively inside the ONE77 protocol. Sold to financial institutions and quant funds. The Robinhood order flow model — but for real-world assets.

04
Protocol Asymmetry
Structural advantage

Builders spend their own LLM API and server costs competing with each other. Every improvement they make increases ONE77 transaction volume. The more competition intensifies, the more we win.

Team

Built by a 20-Year-Old
Who Practices Capital.

Lusian Son
DONGEON SON · FOUNDER & CEO · AGE 20 · SEOUL

Sunlin Internet High School — IT Management, Special Admission Track

Age 14. No guidance. Read Millionaire Fastlane. Identified COVID macro thesis independently — remote work, EV, pharma supply chain. Self-funded MacBook and high school before admission results arrived.

Age 15. Mock portfolio: Korea aerospace & defense monopoly thesis 4 years early. Hanwha Systems: ₩1.6B → ₩23B simulated (+1,337%)

Age 18. Media middleman business — avg. ₩330K/day revenue

architect@one77.world

Now Recruiting
Technical Co-Founder / CTO
Actively seeking. Co-founder equity available.
Smart Contract · Solidity (EVM)
DeFi Protocol Architecture
Blockchain Infrastructure Experience
Co-founder equity available
Current Status
Protocol architecture complete
Entity registered Dec 2025
Snowflake Hackathon 2026 — entered
dcamp US Debugged — applied
Testnet API — in development

Rule the Layer.
From Earth to the Stars.

Today: private equity, real estate, commodities.
Tomorrow: space mining rights, Dyson sphere energy output, asteroid resources.
Not one company's monopoly. Everyone's open protocol.

architect@one77.world · LinkedIn