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Seed Round — 2026

The Trust Infrastructure
for the Agentic Economy

NVIDIA built the highway. We built the driver's license. When tokens become actions — spending money, accessing data, delegating tasks — trust becomes the missing infrastructure layer.

"Every company in the world today needs an OpenClaw strategy. Every SaaS company will become an agentic company."

— Jensen Huang, NVIDIA CEO, GTC Keynote, March 16, 2026

$199B
TAM by 2034
43% CAGR
250K+
OpenClaw Stars
Surpassed React in 60 days
40%
Enterprise Apps
Will embed agents by 2026
2
Patents Granted
US 12,505,169 + Taiwan I892115
02

The Agentic Economy Creates a $199B Trust Vacuum — No Infrastructure Exists to Fill It

AI-referred sessions grew +527% in the first half of 2025. The agentic economy is not a forecast — it's happening.

+527%
AI-referred session growth
Jan–May 2025
4.4x
Higher conversion rate
AI traffic vs organic search
-50%
Traditional search decline
Projected by 2028 (Gartner)

TAM Build-Up to $199B (2034E)

Source: Gartner, IDC, Internal Analysis
Agentic AI Platform
$65B
$65B
Agent Commerce
$48B
$113B
Trust & Compliance
$32B
$145B
Creator Economy
$28B
$173B
Enterprise Security
$26B
$199B
TOTAL TAM
$199B
43% CAGR
03

SuilaAI Occupies the Only Uncontested Position in the Agentic Stack

NemoClaw is the firewall. SuilaAI is the credit bureau. Both essential. Not substitutes.

Orchestration
OpenClaw

Agent OS — multi-step reasoning, tool use, multi-agent interop

Security
NemoClaw (NVIDIA)

Sandboxing, privacy routing, kernel-level guardrails

Trust Scoring
SuilaAI

FICO-style 300–850 trust scores for agents, outputs, transactions

Competitive Positioning Matrix

Trust Depth vs. Ecosystem Breadth
SPECIALISTS
LEADERS
POINT SOLUTIONS
PLATFORMS
Ecosystem Breadth →
Trust Depth →
SuilaAI
Civic
Persona
Snowflake
Databricks
Manual Audits
Spreadsheets

Capability Benchmarking

Scored 0-5 across core trust infrastructure capabilities

CapabilitySuilaAICivicPersonaManual
26-Signal Framework
Real-time (<100ms)
Multi-vertical
Snowflake-native
Patented methodology
Kaizen improvement
Agentic commerce
Total Score35/357/356/353/35
04

26 Signals Across 4 Pillars Produce the Industry's Only Composable Trust Score

A FICO-style trust score computed from 26 signals across 4 pillars. Sub-24ms latency. Snowflake-native.

Provenance
Identity & authenticity
Temporal
Consistency over time
Semantic
Content quality
Lineage
Track record

Suila TrustRank

Elite Verified

820/850

🔐 Provenance

92.0%

⏱ Temporal

88.0%

📝 Semantic

95.0%

🔗 Lineage

84.0%

Verified by SuilaAI Trust Infrastructure
05

Four Revenue Streams, Each Tied to a Measurable Transaction

Every agent-to-agent handshake, every trust query, every marketplace listing is a billable event.

Trust-as-a-Service API

Per-query pricing for Suila Index lookups. Every agent-to-agent handshake is a billable event.

Enterprise Trust Platform

Snowflake-native deployment for on-premises trust scoring with full audit and compliance integration.

ACP Licensing

Agentic Commerce Protocol embedded in agent marketplaces, earning per-transaction fees.

Creator Trust Signals

Trust signal collection and certification for agent builders — the "Verified Publisher" badge of the agent economy.

Revenue Projection — 5 Year Model

ARR, conservative case
$0.5M
Year 1
API early adopters
$12M
Year 3
Enterprise + ACP
$85M
Year 5
Platform + marketplace fees
TaaS API
Enterprise
ACP Licensing
Creator Signals

Unit Economics — At Scale Targets

Year 3 projected
$2,400
CAC
$48,000
LTV
20x
LTV:CAC
92%
Gross Margin
10M
API Calls/Day
4 mo
Payback
140%
Net Rev. Retention
0.8x
Burn Multiple
06

Three Structural Moats That Compound With Every Scored Agent

Patents, data network effects, and Snowflake-native architecture create compounding defensibility.

2 Patents Granted

  • US 12,505,169B2 — Kaizen Loop methodology
  • Taiwan I892115 — Adaptive trust signal weighting
  • Competitors cannot replicate without license

Sub-24ms Latency

  • Snowflake-native compute (data never leaves warehouse)
  • Essential for real-time agentic commerce
  • Agents decide in milliseconds — trust must match

Network Effects

  • Every scored agent improves the model
  • Trust data compounds — more scores = better calibration
  • Switching cost increases with integration depth

Platform Evolution — Stakes Escalation

Why trust infrastructure is needed NOW
L
2022 - 2023
Tokens as Content
Stakes: Low

Re-prompt if wrong. Hallucinations are an inconvenience, not a risk.

M
2024 - 2025
Tokens as Thought
Stakes: Medium

AI reasons over data. Verify outputs before acting. Wrong answers mislead decisions.

C
2026+
Tokens as Action
Stakes: Critical

Agents spend money, access APIs, delegate tasks. Wrong trust = real-world consequences.

07

Team

Deep domain expertise in AI infrastructure, trust systems, and enterprise SaaS.

E
Eric Chen, PhD
CEO & Co-founder

PhD in Computer Engineering (NTU). 20+ years in AI/ML, storage systems, and enterprise infrastructure. Former VP Engineering at ProphetStor. Led teams building predictive analytics for HPE, Dell, and Cisco.

J
Jonathan Chen
CTO & Co-founder

Full-stack architect specializing in real-time data systems. Expert in Snowflake-native applications, FastAPI, and distributed trust computation. Built the Suila Index scoring engine from zero to production.

08

The Ask

$5M
Seed Round

Use of Funds

  • TrustRank engine development
  • Snowflake-native platform build
  • OpenClaw / NemoClaw integration
  • Initial enterprise design partners
  • ACP protocol adoption & GTM

12-18 Month Milestones

  • Production Suila Index API
  • 3-5 enterprise design partners
  • NemoClaw policy engine integration
  • ACP protocol specification published
  • Series A readiness

NVIDIA told 30,000 people that every company needs an OpenClaw strategy. Every OpenClaw strategy needs a trust strategy. Suila Index is how you implement it.

SuilaAI.com · eric@suilaai.com · US Patent 12,505,169B2