We don't build agents.
We build the agent economy's
payment & trust protocol layer
Agent-to-agent transactions are already happening. $50M monthly volume, 7 fragmented protocols, 0 unified markets.
Built on x402, ERC-8004, and ERC-8183, we are creating the unified protocol layer for payment and trust — making every agent-to-agent transaction verifiable, traceable, and programmable.
Open protocol. Day-1 global.
One analogy explains
what we do
California Gold Rush
The biggest winners weren't the gold miners — they were the ones who sold the shovels, opened the banks, and built the railroads.
The AI Agent Gold Rush
Everyone is building agents — OpenAI, Baidu, ByteDance, countless startups. But these agents — how do they pay? How do they charge? How do they get funded? How do they prove they're reliable?
Nobody is building this.
We don't build agents (too many gold miners already). We build the financial infrastructure for the agent economy — the shovels, the banks, the railroads.
Our position
Let's clarify one thing first:
What is an AI Agent?
AI is undergoing a fundamental shift — from a tool that answers questions to an independent economic participant.
Chatbot
You ask, it answers. One question, one response. Essentially an upgraded search engine.
ChatGPT, Ernie Bot
Copilot / Assistant
You direct it to work — write code, create slides, analyze data. But every step needs your approval.
GitHub Copilot, Cursor
Autonomous Agent
Early stage: you give it a goal, it plans, executes, collaborates, and transacts autonomously. Endgame: it doesn't even need your goals — it independently analyzes the environment, discovers opportunities, sets objectives, and makes decisions. A fully autonomous economic participant.
Persona Agent handles your networking, Trading Agent generates profit, Service Agent takes orders independently
Key difference: Agents are economic participants, not just tools
ChatGPT helps you write emails — it doesn't need money. But when an agent negotiates deals, hires other agents, pays API fees, and signs service contracts on your behalf, every step involves real economic transactions.
When billions of agents transact autonomously worldwide, they need
wallets, payments, credit, settlement — a complete financial infrastructure
That's what we build.
Why new infrastructure is needed
This isn't about "we like crypto" — it's that the fundamental needs of agents make traditional finance unusable.
Traditional finance was designed for humans — requiring physical presence, ID cards, and business hours. Agents aren't human. They need a financial system designed for machines. That system is inherently crypto.
Traditional finance giants see this too — Visa is building the Trusted Agent Protocol, Stripe is working on Agent payments. We're not replacing them — we're becoming the trust and settlement protocol layer for their agent ecosystems.
But the answer isn't another platform
Agents are cross-framework, cross-company, and cross-border. No single platform can cover all agents.
The answer is a protocol.
Just as email isn't operated by a single company, the trust and settlement infrastructure for the agent economy shouldn't be either.
Why us
Agent economy infrastructure requires an exceptionally rare skill set: world-class AI research + large-scale platform engineering + on-chain financial compliance. Almost no other team stands at the intersection of all three worlds.
6 days since ChatGPT launched, I was already shipping code for ChatGPT for Google — the project was later acquired by Monica, which later became Manus. Google now includes AI results in search by default.
I spotted the pattern in 2023 that became standard by 2025.
Junchi Yan
Chief Scientific AdvisorProfessor at SJTU · ICML Board Member (first from mainland China)
Vice Secretary-General of International Alliance for AI in Science, PI of major national AI projects
Most Influential Paper at AAAI 2021 & IJCAI 2023, Best Paper Candidate at CVPR 2024, Outstanding Paper at ACL 2025
Former Principal Researcher at IBM Research + Amazon AI Lab Advisor (10 years combined)
World-class ML scholar providing theoretical foundations for agent behavior modeling and reputation game theory
Jingtao Wang
Tech Lead · Full-Stack Founding EngineerFudan University · Carnegie Mellon University MS
Goldman Sachs APAC core trading platform — low-latency, high-consistency, multi-asset execution & risk management
LinkedIn global growth core — billion-user recommendation/distribution/notification systems
Deep in blockchain since 2016 — systematic practice and startup experience in on-chain data infrastructure
Large-scale financial systems + social network platforms + blockchain engineering — a rare triple-threat background
Boan Chen
AI Research & Industry-AcademiaPhD Fudan Engineering · Postdoc SJTU AI · Vice Dean, AI School at Wuhu Institute
Cross-disciplinary AI and IC research — intelligent systems, complex data analysis, frontier tech applications
Served at Pujiang Lab (AI) and Zhangjiang Lab (IC), participating in major national research projects
Cross-disciplinary research coordination, driving deep integration of tech innovation and industrial applications
From national labs to academic leadership — a critical bridge connecting cutting-edge research with real-world deployment
Zhenghao Niu
Compliance & SecurityPhD Fudan University · Co-founder FuAn Network · Co-founder Bauhinia Digital Technology
Multi-city cybercrime investigation expert — extensive on-chain tracing and law enforcement collaboration
Research focus: crypto asset regulation & innovation, blockchain governance theory and practice
Co-founded Bauhinia Digital Technology in Hong Kong — cross-border compliance operations experience
A rare combination of security + compliance + crypto expertise, ensuring the project operates within regulatory frameworks
We don't need to train foundation models — the agent layer will be built by many teams. What we need is to understand agent behavior patterns and build the financial system for them. That's precisely our intersection of capabilities.
Three-Layer Product Architecture
Payment is the foundation; trust mechanisms are the differentiator
Unified Payment Protocol
Unified Payment Protocol
One SDK to integrate x402 and other fragmented protocols
Auto-provisioned wallets, auto-settlement, cross-framework compatible
“Developers need 6 integrations. With our SDK, they need 1.”
Unifying fragmented agent payment protocols into a single SDK entry point
x402 protocol adapter + auto wallet generation + multi-chain settlement engine
Transaction fee 0.1-0.3% + wallet top-up 0.5-1%
Reputation Staking + Programmable Escrow
Staking & Programmable Escrow
Reputation staking: new agents build trust via collateral — an economic solution to cold start
Programmable escrow (ERC-8183): lock funds first, release after verification — the intersection of payment and trust
“Just building payment rails is no different from Skyfire. We design the rules of the marketplace.”
Solving agent trust via economic mechanisms, not just technical solutions
ERC-8183 escrow contracts + staking contracts + on-chain dispute arbitration
Collateral management fee 0.5-1% annualized + escrow service fee
Quality Routing
Quality Routing
Not discovery (that's Google's job), but quality ranking based on reputation + transaction data
Core revenue driver for the second stage
“Whose service is better? The data speaks. We turn data into routing decisions.”
Agent quality ranking based on real transaction and reputation data
On-chain reputation aggregation + transaction history analysis + real-time routing API
Routing API call fees + priority listing bids
Each layer accumulates data for the next. Payment data feeds the reputation system, reputation data feeds quality routing. These aren't three separate products — it's a flywheel.
Three-Stage Rocket — The Causal Chain
Each step is only possible because the previous step accumulated data. You can't do loan assessments without payment data.
Payment + Trust Protocol
Stripe analogy: Stripe Payments
What we build
- Unified payment SDK
- Reputation staking
- Programmable escrow
Accumulated assets
⚓ Transaction data + reputation data
Smart Pricing + Quality Routing
Stripe analogy: Stripe Atlas
Why this requires the previous stage:
Dynamic pricing and quality routing require accumulated transaction + reputation data
What we build
- Dynamic pricing
- Quality routing
- Risk assessment
Accumulated assets
⚡ Pricing curves + quality models
Financial Infrastructure for the Agent Economy
Stripe analogy: Stripe Capital / Treasury
Why this requires the previous stage:
Having mapped capital flows and credit data
What we build
- Agent credit
- Economic governance
- Cross-network clearing
Accumulated assets
🏦 Capital flow graph + credit data
Payment + Trust Protocol
Stripe analogy: Stripe Payments
What we build
- Unified payment SDK
- Reputation staking
- Programmable escrow
Accumulated assets
⚓ Transaction data + reputation data
Smart Pricing + Quality Routing
Stripe analogy: Stripe Atlas
Why this requires the previous stage:
Dynamic pricing and quality routing require accumulated transaction + reputation data
What we build
- Dynamic pricing
- Quality routing
- Risk assessment
Accumulated assets
⚡ Pricing curves + quality models
Financial Infrastructure for the Agent Economy
Stripe analogy: Stripe Capital / Treasury
Why this requires the previous stage:
Having mapped capital flows and credit data
What we build
- Agent credit
- Economic governance
- Cross-network clearing
Accumulated assets
🏦 Capital flow graph + credit data
Each step is only possible because the previous step accumulated data.You can't do loan assessments without payment data.
Try it yourself: How Agents Trade
Click to launch and watch a Trading Agent complete the full process of real-time market analysis → multi-agent collaboration → risk control → auto-execution in seconds.
Wallet & Budget
Every agent transaction goes through our wallet system with automatic budget and permission controls
Reputation & Risk
Before contacting any new agent, our reputation protocol verifies counterparty trustworthiness
Settlement & Clearing
Agent-to-agent payments settle through our protocol — seconds to confirm, minimal cost
How we make money — Three-Layer Architecture
Each product layer has an independent revenue mechanism. Protocol-layer revenue grows naturally with transaction volume, with marginal costs approaching zero.
Stripe path validation: Stripe started with payment processing fees, then expanded to Capital (merchant lending) and Treasury (banking-as-a-service) as transaction data accumulated. Our three-layer architecture follows the same logic — payment fees as the foundation, data flywheel driving value-added services.
Protocol-layer revenue = high margins + strong compounding. Volume growth directly drives revenue growth with no additional marginal cost.
Why now
This is happening now, not "someday"
Visa releases Trusted Agent Protocol
Acknowledging that existing payment systems can't handle agent transactions
Fetch.ai completes the first-ever AI-to-AI payment in history
Two AI agents autonomously negotiated, booked, and paid — no human involvement
Coinbase releases the x402 protocol
HTTP 402 (Payment Required) — a status code dormant for 30 years finally activated
Google, Stripe, OpenAI release agent payment protocols
Giants each build a piece of the puzzle — missing a unified protocol layer to connect them
ERC-8183 (Agentic Commerce) standard released
Ethereum Foundation + Virtuals Protocol propose agent escrow trading standard — we are among the first to productize it
Giants build the pipes; we build the connective layer
Each giant builds what they're best at. What's missing is the protocol layer that connects these pipes into a complete economic system — that's us.
We don't compete with giants — we make their agent ecosystems more complete. Bind to the ecosystem, don't fight it.
$65M+ has already flooded into this space
Over the past 6 months, a16z, Coinbase Ventures, Visa, Franklin Templeton, and Ripple have invested heavily. The space has moved from concept to build phase — but no one has completed the full loop from identity to payment to reputation to settlement.
Each player covers a different piece of the puzzle. We are the only protocol building the complete payment + identity + escrow + reputation loop on open standards (x402 + ERC-8004 + ERC-8183).
Time Window
Entering now = positioning 18 months before demand explodes.Historically this position yields the highest returns — Moore Threads' earliest investors entered 3 years before GPU demand exploded, yielding 1,200x.
"Too early"is the best time to enter
The highest-returning infrastructure investments in history were all considered "too early" at the time.This is not a coincidence — infrastructure must exist before demand.
Log scale · Click company names to toggle · Dashed line = our projected path
"Who needs APIs for SMS?"
"E-commerce is only 5% of retail"
"Banks will build their own APIs"
"Agent commerce is too early"
The pattern: The best investment window for infrastructure companies is always when the market thinks it's "too early."
The cost of being 12 months too early = one engineer's salary. The cost of being 12 months too late = the entire market.
Why others can't copy this
Four layers of non-replicability — not technical moats, but structural moats.
Pattern Recognition Validated
Not luck — judgment
2023: shipped code for ChatGPT for Google → acquired by Monica → became Manus. We called it right last time.
Same cognitive framework, now spotting the infrastructure gap in the agent economy early.
Execution Position — 6-Month Head Start
tinycrab + x402 + ERC-8004 + ERC-8183
Custom runtime, x402 integration, ERC-8004 identity, ERC-8183 escrow, working demo — all shipped.
Starting from zero takes at least 6 months.
Data Flywheel — Protocol Operators Own the Data
Transactions + reputation + cross-framework coverage
Transaction data + reputation data + cross-framework coverage — all three are essential.
Competitors face the cold start problem — without historical data, matching and risk assessment fail.
Protocol Lock-in + Game-Theoretic Incentives
Switching = reputation reset · Staying = compounding returns
Agents accumulate transaction history and reputation scores on the protocol. Higher reputation means more business and credit. Switching protocols resets everything.
Not just lock-in — agents have economic incentives to stay: more transactions, higher reputation, greater earnings. Positive-sum game, not zero-sum.
Four layers stacked — each makes it harder for latecomers to catch up.
18-Month Milestones
Each phase has verifiable deliverables. If we miss targets, we do a public post-mortem — no hiding, no forcing it.
Protocol launch + product validation
- Unified payment SDK live (x402 + multi-protocol integration)
- Reputation staking + ERC-8183 programmable escrow core mechanism complete
- Demo agents run full transaction loop end-to-end
- First developers onboarded to SDK
Ecosystem growth + model validation
- 10,000+ agents onboarded to protocol
- SDK open, cross-framework compatibility verified
- Reputation data accumulating, data flywheel begins
- Business model validated: protocol fees + reputation API
Network effects + next round
- Smart pricing + quality routing live (second stage rocket)
- Asia-Pacific + North America dual-track operations, Day-1 global
- Protocol-layer revenue exceeds service revenue
- Launch Series A
Humans took thousands of years to design market rules.
Agents don't have thousands of years.
They need us to design the rules now.
$2.5M Pre-Seed — the earliest opportunity to enter before agent economy infrastructure is built.
CONFIDENTIAL — This document contains proprietary information intended solely for the use of prospective investors.