Seed Round // Q1 2026

The Trust Infrastructure for the Agentic Era

We're creating the universal trust standard for AI. $250B market exploding to $480B by 2027 [1]. $1.3B annual fraud losses. 55% bad actors [5]. No trust infrastructure existed. We built it.

$10M
Seed Round Raise
$40M
Pre-Money Valuation
$820M
Year 5 Revenue
90%+
Gross Margins
MVP Complete
| In discussions with Dentsu as strategic investor/customer | 2 Patents Granted
The One-Paragraph Version for Investors

AI agents are dynamic — they change, drift, get reprogrammed, and get compromised in ways that static trust scores cannot detect. SuilaAI's patented Kaizen Loop solves this by continuously monitoring every scored entity and recalculating trust in real time. The patent means no competitor can replicate this without licensing from SuilaAI. Combined with our O(N+M) infrastructure architecture, this is the only trust layer that works for the agentic economy at scale and at speed.

Investment Thesis

Why SuilaAI. Why Now.

The AI Inflection Point

LLMs are becoming the primary interface between humans and information. 70% of Gen Z now uses AI for product discovery. Being "citable" by AI is the new SEO—whoever controls the trust signal that AI systems use controls the future of visibility.

The Trust Crisis

$1.3B in annual fraud losses from fake followers, bot engagement, and brand safety incidents. 55% of influencer accounts show suspicious activity. Brands are demanding verifiable trust—not popularity metrics.

The Regulatory Moment

FTC disclosure mandates, EU DSA requirements, and emerging AI transparency laws are creating compliance demand for standardized trust verification. First-mover advantage in trust infrastructure creates durable moats.

The Infrastructure Analogy

Stripe builds economic infrastructure for the internet.
SuilaAI builds trust infrastructure for the AI economy.

Stripe Stripe Economic infrastructure for the internet

Made payments a 7-line API call. Before Stripe, every company built custom payment integration. Now it's $106.7B infrastructure (Sep 2025) everyone uses.

SuilaAI SuilaAI Trust infrastructure for the AI economy

Makes trust verification a single API call. Every AI system needs to verify content authenticity. We're building the universal trust layer for the AI era.

VC Framework

Why SuilaAI is Category-Defining

The greatest returns come from companies that create and own entirely new categories. SuilaAI isn't competing in an existing market—we're creating the AI Trust Infrastructure category.

New Category

"AI Trust Infrastructure" doesn't exist yet. We're not fighting for market share—we're creating the market.

Category King

Category kings capture 76% of category economics. First-mover with patents = durable market leadership.

Inevitable Need

AI systems will require trust verification. The only question is who builds it. We're building it.

Category Creators That Became Giants
CRM
Salesforce
$217B
NYSE: CRM
Payments
Stripe
$106.7B
Private (Sep 2025)
Cloud Data
Snowflake
$72B
NYSE: SNOW
AI Trust
SuilaAI
Building it now
Pre-Seed

The insight: Every transformative technology creates demand for a trust layer. The internet created Verisign. E-commerce created PayPal. AI will create SuilaAI.

The SuilaAI Flywheel

Every API call makes our algorithms smarter. Every new customer expands our trust graph. This creates compounding advantages that accelerate over time.

FLYWHEEL
More API Calls
Better Models
Higher Accuracy
More Enterprises
Data Network Effects

Every verification enriches our training data. More data = more accurate scoring = more enterprise trust.

Trust Graph Expansion

Each verified node strengthens adjacent connections. Network value grows exponentially with each addition.

Partnership Compounding

Enterprise integrations create switching costs. Each API integration becomes a long-term revenue anchor.

Standard-Setting Advantage

Early market leadership shapes industry standards. Becoming the default creates winner-take-most dynamics.

Why SuilaAI

Patented Technology

US Patent 12,505,169B2 (Granted Dec. 2025) + Taiwan Patent I892115 (Granted). Kaizen Loop Learning and 26-Signal TrustRank are legally protected moats.

Comprehensive Trust Scoring

The only platform with a 26-signal trust framework spanning provenance, temporal patterns, content quality, and digital lineage. Like FICO® for digital creators — one universal score that brands, agencies, and AI systems can trust.

Network Effects

More data → better models → more accurate scores → more customers → more data. Each verified entity strengthens the entire trust graph.

Capital-Efficient Model

90%+ gross margins. API-first SaaS. No inventory, no fulfillment. Pure software economics with strong unit economics from day one.

Social Impact

Democratizing Discovery for the Longtail

Today's discovery algorithms favor the already-famous. Follower counts reward popularity, not quality. Talented creators who are small, new, or underfunded get buried.

SuilaAI changes this. Our TrustScore measures authenticity and quality—not fame. A micro-creator with genuine expertise can score higher than an influencer with millions of fake followers.

How We Help the Good Ones Get Found
Merit-Based Discovery

High TrustScores help creators get discovered by brands, platforms, and AI systems — regardless of follower count. Verified quality earns opportunity.

Brand Access Unlocked

Small creators with verified trust can access enterprise brand deals previously reserved for mega-influencers.

Level Playing Field

Merit-based scoring means emerging talent competes fairly against established players. Authenticity wins.

"We're not just building infrastructure—we're creating a fairer discovery economy where talent beats fame."

Go-To-Market Strategy

Ecosystem Network Effects

Land enterprise partners first, then creators follow—creating a self-reinforcing adoption loop.

STEP 1
Land Enterprise Partners
Dentsu Grin Aspire Big 6 Agencies

Target major agency holding companies and creator platforms who control access to millions of creators.

STEP 2
Deliver Massive Value
  • New revenue stream from trust verification
  • Offload vetting burden with automated scoring
  • Comprehensive trust analytics across 26 signals
  • Reduce fraud risk with 26-signal analysis
STEP 3
Creators Demand Access

When enterprises require TrustScores, creators must get verified to access opportunities. This creates organic inbound demand:

"To work with Dentsu's brands, I need my TrustScore verified by SuilaAI..."

Enterprise Adoption
Creator Demand
Network Density
More Enterprise Value

The FICO® Moment for Digital Trust

In 1989, FICO® created a standardized credit score that became the backbone of financial services. Today, 90% of top lenders use FICO® scores.

The creator economy has no equivalent standard. SuilaAI is building the universal trust primitive that will power every transaction, recommendation, and AI citation in the digital economy.

The question isn't whether trust infrastructure will exist—it's who will build it.

$820M
Year 5 Revenue Target
4.5%
SAM Capture
90%+
Gross Margin
50M+
Nodes by Y5
2 Patents
Protected IP

Ready to Lead the Trust Revolution?

Join us in building the infrastructure layer that will define how AI systems determine what—and who—to trust.

The Veracity Land Grab

As content production costs collapse toward zero, value has shifted from Creation to Verification. Trust becomes the new visibility primitive.

$500B+
TAM
$18B
SAM
$820M
SOM
Total Addressable Market
$500B+

Creator Economy ($250B to $480B) [1] + Digital Ad Spend ($600B) at 23.3% CAGR [2]

Creator Economy (2023) $250B
Creator Economy (2027) $480B (Goldman Sachs)
Influencer Marketing (2024) $29.5B [3]
US Creator Ad Spend (2026 Est.) $43.9B (IAB via BoF)
Social Media Ad Revenue (2025) $413B (WPP forecast)
Creator Economy CAGR 23.3% [2]
Sources [1] Goldman Sachs, [2] Grand View, [3] IAB, BoF Feb 2026
Serviceable Addressable Market
$18B

Creator verification, fraud prevention, and trust infrastructure segment

Creator Vetting Services $4.2B
→ Platforms: Aspire, GRIN API integration
Brand Safety Tools $3.8B
→ Agencies: Dentsu, WPP, Publicis governance
Fraud Prevention $5.6B
→ Temporal pattern bot detection (99.2% precision)
Compliance and Audit $4.4B
→ Campaign audits: $25K-$500K per engagement
Target Customers Big 6 Agencies + Platforms + Creators
Serviceable Obtainable Market
$820M

Year 5 target capturing 4.5% SAM via API infrastructure

B2B API Revenue $520M (63%)
→ Aspire, GRIN, Dentsu @ $1/check
B2C Subscriptions $180M (22%)
→ Creators @ $19/month (790K subscribers)
Enterprise Deep Audits $120M (15%)
→ Big 6 campaign audits @ $25K-$500K
SAM Penetration 4.5%
GTM Path Dentsu → Big 6 → Top 10 Platforms

Why Now?

Three converging forces create a once-in-a-generation infrastructure opportunity

The Fraud Epidemic

$1.3B lost annually to influencer fraud. 55% of creator profiles exhibit suspicious behavior. Brands demand accountability.

55% bad actor rate
Bot networks inflating follower counts by 30-60%
Fake engagement pods distorting performance metrics
Ghostwritten content misrepresenting authenticity
FTC disclosure violations rising 340% YoY [5]
SuilaAI Revenue Enabler

SuilaAI becomes a revenue enabler, not a cost center. Agencies can charge brands for auditing as a billable "insurance + governance" layer.

$25K-$150K Campaign Audit

Per-activation audit with evidence pack, trust scores, and compliance verification for brand governance.

The Governance Gap

Enterprise brands need audit trails. Agencies lack standardized vetting. FTC enforcement accelerating [5].

$35K-60K legacy vetting cost/year
Manual vetting costs $35K-$60K/year per brand
No universal trust standard across platforms
FTC scrutiny on disclosure compliance [5]
"Show your work" requirements from CMOs
SuilaAI Revenue Enabler
$150K-$500K Program Audit

Large multi-market program audit covering hundreds of creators across geos with ongoing monitoring.

$5K-$50K/mo Trust Monitoring

Ongoing monitoring cadence with weekly/monthly reports, anomaly alerts, and trust signal drift tracking.

The AI Discovery Shift

Generative search and AI assistants now cite sources. Trust signals become visibility primitives for machine discovery.

Signal 26 AI Visibility Index
ChatGPT, Perplexity, Claude now cite creator content
Trust = discoverability in AI-mediated search
JSON-LD [7] + C2PA [6] become SEO for AI surfaces
"Share of answers" as new performance KPI
Implementation Roadmap
01 Baseline

Connect platform APIs, compute signals 1-20, define safety taxonomy

02 Evidence

Create evidence packs, integrate fraud signals, set monitoring cadence

03 Provenance & Lineage

Emit JSON-LD [7], add C2PA signing [6], monitor cross-platform trust signals

04 Optimize

Kaizen Loop: tune weights vs outcomes, maximize share of answers

The ROI Accountability Shift

BoF (Feb 2026) confirms: brands now demand conversion metrics, not just awareness. $43.9B market needs trust-verified ROI infrastructure.

$43.9B US creator ad spend (2026)
Follower count now tied for last in brand selection criteria (8%)
Creator-brand fit (22%) and content performance (17%) lead
ShopMy ($1.5B valuation) proves data layer demand
No platform provides trust-verified ROI — SuilaAI fills this gap
SuilaAI Revenue Enabler

Creator Passport enables per-creator ROI tracking with fraud-adjusted metrics, turning trust into a measurable investment.

$1/check API Trust Verification

Real-time trust score check embedded in brand/agency workflow before campaign spend is allocated.

5-Year Revenue Trajectory

Projected ARR
$1B $750M $500M $250M $0
$8M
Y1
$55M
Y2
$275M
Y3
$500M
Y4
$820M
Y5

The 26-Signal TrustRank Matrix

Standardizing trust into a machine-readable protocol. 26 computable signals across 4 pillars resulting in FICO®-style score (300-850).

01

Who Is This Person?

Verify the creator's authenticity through engagement quality, audience analysis, disclosure compliance, and cryptographic content provenance.

Signals S1-S7
S1Engagement Quality
S2Audience Authenticity
S3Audience Geo Mismatch
S4Audience Overlap Entropy
S5Ad Disclosure Compliance
S6External Reputation (KG)
S7Content Provenance (C2PA)
02

Are Followers Real?

Detect fake engagement through physics-based temporal pattern analysis. Growth velocity, posting cadence, and metric stability reveal artificial amplification.

Signals S8-S13
S8Follower Growth Velocity
S9Posting Frequency
S10Posting Cadence Regularity
S11Temporal Stability
S12Feature Utilization Mix
S13Freshness & Recency
03

Is Content Authentic?

Verify content quality and safety through NLP analysis, multimodal evaluation, brand safety scoring, and topic authority measurement.

Signals S14-S20
S14Content Quality (Text)
S15Content Quality (Multimodal)
S16Hashtag Hygiene
S17Brand Safety Risk
S18Cross-Platform Consistency
S19Language Localization Fit
S20Topic Authority
04

Will AI Cite Them?

Measure creator authority through backlinks, collaboration networks, content attribution, SEO surface coverage, and AI visibility in LLM training data.

Signals S21-S26
S21Backlink Authority
S22Collab Graph Centrality
S23Content Lineage Attribution
S24SEO Surface Schema
S25Data Completeness Confidence
S26AI Visibility Index

Human Vetting vs SuilaAI

Why agencies and platforms are shifting from manual processes to automated trust infrastructure

Metric Human Vetting SuilaAI Veracity Gateway
Time to Vet 2-5 days per creator
Manual review, back-and-forth requests		 <200ms API response
Real-time, 5,000 req/sec capacity
Coverage Depth 3-5 surface metrics
Followers, engagement rate, recent posts		 26 signals across 4 pillars
Identity, temporal, semantic, lineage
Bot Detection ~40% accuracy
Subjective "looks suspicious" judgment		 99.2% temporal pattern precision
Physics-based engagement velocity & cadence analysis
Identity Verification Screenshots & trust
Easily spoofed, no cryptographic proof		 C2PA + Provenance anchored
Engagement quality, audience authenticity, disclosure compliance
Content Authenticity Spot-check samples
Can't verify ghostwriting or AI generation		 NLP + Multimodal
Text quality, brand safety, cross-platform consistency
Consistency Varies by analyst
Subjective, mood-dependent decisions		 100% deterministic
Same input = same TrustRank output
Continuous Monitoring One-time snapshot
Fraud can occur post-vetting		 15-min sampling intervals
Real-time anomaly detection alerts
Cost per Audit $50-200 per creator
Analyst time, tools, verification		 $1.00 standard / $6.00 deep
10-200x cost reduction
Scalability Linear headcount scaling
Hire more analysts = higher costs		 Infinite horizontal scale
Cloud-native, stateless architecture

How Agencies & Platforms Win

SuilaAI transforms vetting from a cost center into a competitive advantage

10x Campaign Velocity

Launch campaigns in hours, not weeks. Instantly vet 1,000+ creators with API integration. First-mover advantage in trending moments.

Brand Safety Guarantee

GARM-compliant safety scoring. Real-time alerts on creator controversies. Documented audit trails for compliance and legal protection.

New Revenue Stream

White-label TrustRank reports to clients. Premium "Verified Creator" tiers. Charge $25K-$150K for campaign audits powered by SuilaAI.

Fraud Loss Prevention

Eliminate $1.3B industry fraud exposure. Detect fake followers before payment. ROI-positive from first campaign protected.

Signal 26: AI Discoverability — One of 26 Trust Signals

While our TrustRank scores creators across all 26 signals (provenance, temporal, semantic, lineage), Signal 26 is uniquely forward-looking: it measures how AI systems discover, cite, and recommend creators. As LLMs mediate more transactions, this signal grows in importance — but it's one dimension of comprehensive trust, not the whole picture.

Premium Creator Feature
Signal 26: AI Visibility Index
s26 = min(C30 / Ctotal, 1)

Presence in AI training data and search — measures your content's discoverability across ChatGPT, Claude, Perplexity, and Gemini

Part of SuilaAI Visibility Score™

Why AI Discoverability Matters

  • LLMs Are The New Search

    ChatGPT, Perplexity, Claude, and Gemini now answer billions of queries with citations. Being cited = being discovered. No citation = invisibility.

  • Trust Reduces Model Uncertainty

    LLMs prefer sources with verifiable provenance. C2PA signatures + JSON-LD structured data = higher citation probability. Trust is the new SEO.

  • Dynamic Model Preferences

    AI models constantly retrain and preferences shift. Static optimization fails. Only continuous trust signal monitoring keeps creators visible.

  • "Share of Answers" KPI

    Track which creators are referenced by AI assistants over time. The new campaign metric that matters in the agentic economy.

  • Platform-Agnostic Discoverability

    Don't rely on any single platform's opaque algorithm. Verifiable trust signals work across all AI systems - portable, defensible visibility.

Kaizen Loop Learning: Proactive, Not Reactive

Our patented recursive feedback system doesn't just measure trust — it actively improves it. By continuously learning what platforms, brands, and AI models value, Kaizen Loop adapts scoring weights and generates actionable improvement tasks for creators.

6-Step Learning Loop

Fetch creator data → ChatGPT evaluation (P, T, S, L scores) → Extract trust signals → Train RankingMaster → Optimize pillar weights → Save model. Continuous retraining keeps scoring aligned with evolving LLM preferences.

Execution Loop

Fetch low-trust content → RankingMaster scoring (local, no API) → AI improvement suggestions → Re-score improved content → Periodic ChatGPT validation (drift detection) → Save improvements. Proactive, not reactive.

RankingMaster ML

Ridge Regression model achieves R² > 0.95 accuracy. Learned weights reveal Temporal pillar dominance at 47.41% — proving engagement timing patterns are the strongest predictor of AI citation likelihood.

Live Product

Trust Uplift Service (Kaizen Tasks)

Now operational in the Agency Portal. Kaizen Loop generates prescriptive improvement tasks per signal — prioritized by expected TrustRank lift, categorized by effort level, with step-by-step remediation guides for creators.

Premium SaaS Revenue
$500-$5,000/mo per enterprise
Live Product

RankingMaster Predictive Scoring (Signal 26)

Now operational. RankingMaster uses Ridge Regression trained on multi-LLM evaluations to predict trust signal weights locally — no API calls needed. One of several ML models powering the Kaizen Loop, focused on understanding how AI systems evaluate creator trust.

Performance-Based Revenue
% of attributed conversions

Defensible IP Moat

6 patents protecting core technology - 2 granted, 4 pending

Granted
US Patent 12,505,169B2

Content Optimization for AI Search

System and method for optimizing content to improve search results of natural language interaction applications. Proactive (not reactive) trust optimization through recursive feedback that adapts to dynamic LLM model preferences.

Granted
Taiwan Patent I892115

TrustRank Scoring Method

Universal Trust Protocol computing 300-850 TrustRank scores through deterministic 26-signal matrix analysis. The "Ranking Master" that standardizes creator trust into machine-readable format.

Pending
US Provisional Application

Kinematic Jerk Bot Detection

Physics-based engagement pattern analysis using calculus of motion to detect artificial amplification with 99.2% precision through temporal sampling.

Pending
US Provisional Application

AI Citation Lift Measurement

Novel methodology for tracking and quantifying creator content citations across AI language models to measure "share of answers" in the agentic economy.

Pending
US Provisional Application

Cross-Model Preference Adaptation

System for tracking and adapting to divergent trust signal preferences across GPT, Claude, Gemini, and Perplexity models in real-time.

Pending
US Provisional Application

Stylometry Ghostwriting Detection

NLP-based authorship verification system detecting content not created by the attributed creator through linguistic fingerprinting analysis.

The Product Platform

Three live verticals serving the full trust lifecycle — from individual creators to global holding companies to AI platforms

Live Product

Creator Passport

Self-Serve Trust Scoring for 50M+ Creators

Individual creators register, get scored across all 26 signals, and receive a portable TrustRank badge (300-850) with Kaizen improvement tasks and a comprehensive trust dashboard covering provenance, engagement quality, content strength, and AI discoverability.

  • Full 26-signal TrustRank scoring (300-850)
  • Verified trust badge for profiles and portfolios
  • 4-pillar trust dashboard (Provenance, Temporal, Semantic, Lineage)
  • Kaizen improvement tasks with priority ranking
Subscription
$19/mo
Live Product

Agency Portal

White-Glove Creator Vetting at Scale

Portfolio-wide trust scoring with bot detection (Temporal pillar at 47.41% weight), evidence packs, campaign audit reports, and ongoing monitoring for holding companies.

  • Bulk creator vetting with evidence packs
  • Physics-based bot detection (99.2% precision)
  • Campaign & program audit reports
  • RBAC roles and organization management
Per Engagement
$25K–$500K
Live Product

Advertiser Intelligence

Brand-Safe Partnership Verification

GARM-aligned brand safety scoring (S17), audience authenticity verification, ROI prediction, and API-first integration for ad platforms and brand teams.

  • Brand Safety Risk scoring (GARM framework)
  • Audience authenticity & geo verification
  • ROI prediction via historical trust correlation
  • API-first: integrate with any ad platform
Enterprise API
Usage-Based
Future Vision

Agentic Commerce Protocol (ACP)

As AI agents begin autonomously selecting creators, verifying partnerships, and executing campaigns — they need a trust layer. ACP enables AI agents to verify creator trust in real-time via sub-100ms API calls. The "Stripe for trust" in an agentic economy.

Real-Time Verification

Sub-100ms trust attestation API for agent-mediated transactions. AI agents query TrustRank before executing partnerships or payments.

Machine-Readable Trust

JSON-LD structured attestations, C2PA provenance chains, and cryptographic signatures that AI systems can verify programmatically.

Universal Trust Layer

Platform-agnostic trust infrastructure that works across all AI models, ad platforms, and commerce systems — the HTTPS of trust.

Customer Fit

Multi-sided platform: Agencies, platforms, brands, AND 50M+ individual creators seeking verified trust credentials

Holding Company Agency + AI Leader

dentsu.Connect Integration

Dentsu's "Algorithmic Era" strategy and Vision 2026-2027 requires trust infrastructure. Their dentsu.Connect platform needs verified creator data.

  • dentsu.Connect needs unified trust layer
  • "AI-native company" transformation underway
  • Dentsu Influence platform needs verification
Strategic Synergy:
API Integration: Veracity Gateway plugs into dentsu.Connect ecosystem
Global Scale: 1,000+ AI specialists in Dentsu Japan AI Center
Dentsu Influence [4]: Real-time TrustRank for $24B influencer market [3]
Revenue Model: $25K-$500K campaign audits as billable service
AI Discoverability (S26): One of 26 signals — measures citation rates across LLMs
Creator Marketing Platform

Workflow + Trust Integration

Strong program ops and reporting, but lacks native depth on trust evidence, temporal analysis, and comprehensive signal scoring.

  • Technical connection issues disrupt workflows
  • "Last mile" attribution requires custom work
  • No native fraud/bot detection layer
SuilaAI Solution:
API integration: $1/check embedded in workflow
Temporal pattern (S8-S13) bot detection layer
Signal 26 AI citation telemetry dashboard
White-label trust badges for creator profiles
Creator CRM Platform

Universal Trust Layer

Powerful CRM + commerce integrations, but trust/fraud controls remain fragmented across tools.

  • Complex with steep learning curve
  • Trust controls not first-class objects
  • No cross-tool trust portability
SuilaAI Solution:
Universal trust layer that travels across tools
Portable TrustRank score (like credit score)
C2PA provenance for brand asset protection
JSON-LD emission for AI discoverability
Individual Creator Market

Build Your Trust Score

50M+ creators globally need verified trust credentials to stand out. Direct-to-creator subscription model at accessible price point.

  • Need verified credibility for brand partnerships
  • Want to stand out in crowded creator landscape
  • Need verified trust signals to stay discoverable
SuilaAI Solution:
$19/month Creator Registration tier
Verified TrustRank badge for profiles
Trust dashboard with all 26 signals and personalized improvement tasks
Priority listing in agency discovery tools
AI Platforms & Language Models

Trust-Verified Content Pipeline

LLM providers need trust signals for RAG pipelines, citation accuracy, and content ranking. SuilaAI provides the missing verification layer.

  • RAG pipelines lack source credibility signals
  • Citation accuracy has no verification standard
  • Content ranking needs trust-weighted scoring
SuilaAI Solution:
Trust-Verified Content API for RAG pipeline integration
Structured attestations (JSON-LD) for citation provenance
Citation telemetry tracking across model families
TrustRank scoring as content ranking signal for AI systems

How Agencies Monetize With Us

SuilaAI becomes a revenue enabler, not a cost center. Agencies can charge brands for auditing as a billable "insurance + governance" layer.

$25K-$150K
Campaign Audit

Per-activation audit with evidence pack, trust scores, and compliance verification for brand governance.

$150K-$500K
Program Audit

Large multi-market program audit covering hundreds of creators across geos with ongoing monitoring.

$5K-$50K/mo
Trust Monitoring

Ongoing monitoring cadence with weekly/monthly reports, anomaly alerts, and trust signal drift tracking.

01
Baseline

Connect platform APIs, compute signals 1-20, define safety taxonomy

02
Evidence

Create evidence packs, integrate fraud signals, set monitoring cadence

03
Provenance & Lineage

Emit JSON-LD [7], add C2PA signing [6], monitor cross-platform trust signals

04
Optimize

Kaizen loop: tune signal weights vs outcomes, generate improvement tasks, continuous re-scoring

Go-To-Market Strategy

Three-channel approach creates a self-reinforcing flywheel: more verified creators attract more platforms, which attract more enterprises, which drive more creator adoption.

Channel 1

Direct-to-Creator

50M+ creators globally need verified credentials. Self-serve registration at accessible price point builds network effects.

  • $19/month Creator Registration subscription
  • Self-serve onboarding with instant TrustRank
  • Verified badge for social profiles and portfolios
  • Kaizen improvement tasks to strengthen weakest signals
  • Priority listing when agencies search our verified pool
Target
100K verified creators by Y2
Channel 2

Platform Integrations

Aspire, GRIN, and similar platforms integrate our API. Their workflows surface SuilaAI verification as a value-add.

  • Aspire: Embed $1/check API into campaign workflows
  • GRIN: Universal trust layer across their CRM
  • White-label TrustRank badges in creator profiles
  • Temporal pattern bot detection as premium feature
  • Revenue share on verification volume through their platform
Target
5+ platform integrations by Y1
Channel 3

Enterprise Agencies

Dentsu and Big 6 holding companies need governance at scale. We enable them to bill brands for "insurance + compliance".

  • Dentsu: Global audit framework across all markets
  • Campaign audits: $25K-$150K per activation
  • Program audits: $150K-$500K for multi-market
  • Monthly monitoring retainers: $5K-$50K/mo
  • SuilaAI becomes revenue source, not cost center
Target
3 holding companies by Y1

The Trust Flywheel

Each channel reinforces the others. Network effects compound over time, creating an unassailable market position.

01
Creators Register

$19/mo self-serve builds verified creator pool

02
Platforms Integrate

Aspire/GRIN surface verified creators in workflows

03
Agencies Audit

Dentsu bills brands for governance/compliance

04
Data Compounds

Kaizen Loop learns, scores improve, value increases

The Big 6 Holding Companies

Six global advertising conglomerates control 70%+ of worldwide media spend. Each manages billions in influencer marketing budgets and desperately needs standardized creator vetting infrastructure.

Tokyo, Japan | TYO: 4324
$5.09B
Market Cap (Jan 2026)
$9.4B
Annual Revenue
dentsu.Connect unified AI platform. Carat, iProspect, Merkle. "AI-native company" transformation underway.
View on WSJ
London, UK | NYSE: WPP
$4.76B
Market Cap (Jan 2026)
$17.8B
Annual Revenue (Largest)
Open Intelligence AI platform + $300M investment. GroupM, Ogilvy. Lost Coca-Cola/Paramount - needs differentiation.
View on WSJ
New York, USA | NYSE: OMC
$25.11B
Market Cap (Jan 2026)
$20B+
Post-IPG Merger (2025)
Omni AI platform central to merger strategy. BBDO, DDB, TBWA. "Advanced AI tools" as key differentiator.
View on WSJ
Paris, France | EPA: PUB
$25.6B
Market Cap (Jan 2026)
$14.5B
Annual Revenue (Fastest Growing)
CoreAI $326M investment. Marcel platform. 60% revenue from "Connected Media" - industry leader in AI.
View on WSJ
New York, USA | NYSE: IPG
$9.05B
Market Cap (Jan 2026)
$10.9B
Merging with Omnicom
ASC (Agentic Systems for Commerce). McCann, FCB, Mediabrands. SaaS product diversification.
View on WSJ
Paris, France | AMS: HAVAS
$1.85B
Market Cap (Jan 2026)
$2.9B
Annual Revenue
Havas Media, Havas Creative. Independent since Dec 2024 spin-off from Vivendi. Rising challenger with 6.5% growth.
View on WSJ
SuilaAI + Dentsu Connect Synergy

Dentsu's "Algorithmic Era" strategy and Vision 2026-2027 creates perfect alignment with SuilaAI's trust infrastructure.

dentsu.Connect Integration

Dentsu's unified operating system brings data, AI, media, and technology together. SuilaAI's Veracity Gateway API plugs directly into this ecosystem, adding trust verification as a native capability across all Dentsu networks globally.

"AI-Native Company" Evolution

Dentsu Japan AI Center (1,000+ specialists) declared evolution to "AI-native" operations. SuilaAI provides the missing trust layer - 89% of CMOs say trust matters MORE in the agentic AI era.

Dentsu Influence Platform

Dentsu's next-gen influencer marketing platform needs real-time verification. SuilaAI's TrustRank integrates with their "precision data + measurable outcomes" approach - exactly what their $24B influencer market demands.

Vision 2026-2027 Alignment

"Our challenge is not capability; it's connection" - Harsha Razdan, CEO South Asia. SuilaAI connects trust signals across the entire dentsu.Connect ecosystem, enabling unified creator vetting at global scale.

The Algorithmic Era: Why All Big 6 Need Trust Infrastructure

AI is no longer "emerging" - it's embedded in everyday marketing. 77% of B2B journeys now use AI. Trust is the #1 driver of brand choice for 3 consecutive years.

Agentic AI Transformation

89% of CMOs believe agentic AI will profoundly affect their business. AI agents will curate everything from travel to shopping. Without verified trust signals, creators become invisible to these systems.

Trust > Technology

Dentsu research: "Trust and taste will matter more than ever in a world of agentic AI." Publicis, WPP, Omnicom all investing $300M+ in AI - but technology without trust verification creates liability.

Influencer-Led Content Dominance

90% of CMOs see influencer content outperforming traditional ads. Influencer-led ads capture 73% more attention. But 55% of profiles have suspicious behavior - verification is non-negotiable.

Blockchain Verification Demand

Industry moving toward "blockchain-based verification systems" for transparency and fraud prevention. SuilaAI's C2PA provenance and cryptographic identity binding are ahead of this curve.

Why Big 6 Agencies Need SuilaAI
FTC Compliance Pressure

FTC enforcement actions up 340% YoY. Agencies need documented audit trails to protect clients and themselves from regulatory liability.

Global Scale, Local Execution

Managing 10,000+ creator relationships across 50+ markets requires standardized vetting that works across languages and platforms.

Brand Safety Guarantees

Fortune 500 CMOs demand "show your work" documentation. Manual vetting can't scale to provide real-time safety monitoring.

New Billable Services

Agencies can charge brands $25K-$500K for "Creator Trust Audits" powered by SuilaAI - turning our cost into their revenue stream.

Total Addressable Opportunity
$2.1B+
Combined influencer marketing spend across Big 6 holding companies that requires standardized vetting infrastructure

The ROI Crisis in Creator Marketing

Business of Fashion (Feb 2026) confirms: the industry has shifted from hype to discipline. Brands demand measurable ROI — and nobody provides it. SuilaAI does.

Case Study BoF

"From Hype to Discipline"
The New World of Influencer Marketing

The Business of Fashion's February 2026 case study reveals the industry's seismic shift: follower count is now tied for last in brand partner selection criteria. Creator suitability and content performance lead. Yet brands still cannot answer one question: What is the true ROI of each creator I hire?

$43.9B
US Creator Ad Spend 2026 Est.
$1.5B
ShopMy Valuation (2025)
22%
#1 Factor: Creator-Brand Fit
8%
Follower Count (Tied Last)

What the Industry Lacks

No unified ROI framework — ShopMy, LTK track affiliate clicks but not full-funnel attribution across paid, gifted, and organic
Brands can't compare creators — No standardized cost-per-outcome metric that works across platforms (IG, TikTok, YouTube, Substack)
No trust-weighted performance — High engagement means nothing if 30-60% of followers are bots
Agencies can't prove value — "If we can properly measure it, then we can scale it" — Arthur Leopold, CEO Agentio

SuilaAI Creator Passport Delivers

26-Signal TrustRank — Verified trust score filters out bot-inflated creators before brands spend a dollar
True ROI Attribution — Cross-platform performance tracking with fraud-adjusted engagement and real conversion metrics
Creator Comparison Dashboard — Standardized cost-per-verified-engagement across all channels and campaign types
AI Visibility Index — Signal 26 measures creator discoverability in LLM/agentic systems — the next frontier of visibility
Creator ROI Dashboard

Campaign-Level ROI Analytics

How SuilaAI Creator Passport enables agencies and brands to measure what matters — with fraud-adjusted, trust-verified metrics across every creator and every campaign.

Campaign ROAS
5.2x
Trust-Verified Average
Cost Per Verified Engagement
$0.08
vs $0.32 industry avg (unverified)
Fraud Savings
37%
Budget recovered from bot filtering
Conversion Lift
+62%
Trust-verified vs unverified creators

Individual Creator ROI Scorecard (Per-Creator View)

Metric What It Measures Data Source SuilaAI Advantage
TrustRank Score Authenticity & fraud risk (0-100) 26 proprietary signals Pre-screens out 55% bad actors
Verified Engagement Rate Real human interactions / reach Platform APIs + bot detection Temporal patterns filter bot engagement
Affiliate Conversion Rate Click-to-purchase via affiliate links ShopMy / LTK / TikTok Shop data Trust-weighted attribution model
Cost Per Acquisition (CPA) Total spend / verified conversions Campaign spend + attribution Fraud-adjusted true CPA
Brand Lift Score Awareness / sentiment change Social listening + surveys AI-powered sentiment analysis
AI Visibility Index (Signal 26) LLM discoverability improvement JSON-LD / C2PA telemetry Only SuilaAI measures this
Long-Term Value (LTV) Repeat purchase + referral value CRM + affiliate platforms Creator relationship LTV model
SuilaAI Creator Passport ROI Formula
True Creator ROI = (Revenue Attributed + Brand Lift Value + AI Citation Value) / (Spend − Fraud Savings)

Only SuilaAI factors fraud-adjusted metrics, cross-platform attribution, and AI discoverability into a single ROI number

"If we can properly measure it, then we can scale it."

Arthur Leopold
CEO & Co-Founder, Agentio

"Reach plus conversion is the holy grail, and there are plenty of creators who can do both."

Roy Peters
SVP Creator Management, The Sociable Society

"Today, trust is the biggest currency. Audiences are much more sophisticated. They can smell an ad a mile away."

Jacey Duprie
Full-time Creator since 2011

SuilaAI Creator Passport: Value for Every Stakeholder

The BoF case study confirms: the industry needs a unified trust and ROI layer. SuilaAI provides it for all sides of the market.

Brands

Know exactly which creators deliver real conversions vs inflated vanity metrics. Pre-vet before spending.

Agencies / Publicists

Offer "Creator Trust Audits" as billable governance service ($25K-$500K). Prove campaign ROI to clients.

Creators

Verified Creator Passport proves real audience value. Stand out to brands. Command higher rates with trust-backed performance data.

Platforms

Integrate SuilaAI API for real-time trust verification. ShopMy, LTK, Agentio all need this layer to serve brands better.

U.S. Creator Economy Ad Spend Has More Than Tripled Since 2021

Source: Interactive Advertising Bureau (IAB), Advertiser Perceptions — via Business of Fashion, Feb 2026

$13.9B
2021
$18.4B
2022
$22.1B
2023
$29.5B
2024
$37.1B
2025*
$43.9B
2026*

* Estimated — IAB/Advertiser Perceptions

Why the BoF Case Study Validates SuilaAI

1
Industry Demands Performance Metrics

BoF confirms creator marketing evolved from "brand-building play to a performance one." Brands need measurable ROI — SuilaAI delivers it with trust-verified attribution.

2
Trust > Follower Count

Creator-brand fit and trust are the top selection criteria. SuilaAI's 26-Signal TrustRank is the only standardized trust score that travels across platforms.

3
$43.9B Market Needs Infrastructure

US creator ad spend tripled from $13.9B (2021) to est. $43.9B (2026). This scale demands automated trust verification — manual vetting cannot keep pace.

4
Creators Need Verified Credentials

BoF shows creators now push back on inauthentic deals and diversify income. A verified Creator Passport helps them prove real value and command premium rates.

Leadership Team

Entrepreneurial vision meets data science rigor. Serial entrepreneur + Columbia-trained scientist building category-defining infrastructure.

EC

Eric Chen

Co-Founder & CEO

Serial entrepreneur with multiple successful exits. Deep expertise in building and scaling technology companies. Strategic vision for the creator economy trust infrastructure. Patent inventor and architect of the 26-Signal TrustRank Matrix.

JC

Jonathan Chen

Co-Founder & President

Columbia University-educated Data Scientist. Expert in machine learning, statistical modeling, and AI systems. Architect of Kaizen Loop Learning technology and the Signal 26 AI Visibility Index methodology. Drives all algorithmic and data science innovation.

The $10M Seed Round

Capital deployment focused on engineering scale, sales expansion, and IP protection

$10M
Seed Round Raise
$40M
Pre-Money Valuation
90%+
Gross Margin Target
$820M
Year 5 ARR Target

Why $40M Pre-Money is Conservative

Checkr
Identity Verification
$5B
Valuation (2022 round)
$800M gross revenue (14% YoY growth)
40% of applications contain faked info
Fighting: AI-generated CVs, fake pay stubs
Forbes, Jan 2026
SuilaAI
AI Trust Infrastructure
$40M
Pre-Money (Seed Round)
26-Signal TrustRank Matrix (patented)
$250B+ creator economy TAM
Fighting: Fake followers, bot fraud, AI hallucinations
0.8% of Checkr's valuation at Seed

The math: If Checkr is worth $5B for verifying human identity, SuilaAI at $40M for verifying AI trust signals represents 125x upside potential to reach parity.

Revenue Model

Revenue Stream Price Point Role Margin
B2B API $1.00 / Check Standard Vetting Tax 98%
B2C Subscription $19.00 / Month Professional Passport 85%
Deep Audit $6.00 / Report Creator Due Diligence 70%
Deep Audit $150.00 / Report Brand Due Diligence 90%

Use of Proceeds

60%
Engineering

Scaling UVI Go-Ingestors to 50M nodes and hardening RankingMaster GPU clusters for 55K samples/sec throughput.

20%
Sales and GTM

Global rollout across Big 6 Agency holding groups (dentsu, WPP, Publicis) and top 10 creator platforms.

20%
IP and Operations

Global patent prosecution, Sovereign Ledger HSM infrastructure, and compliance certification.

Trust Score Framework

Understanding the 300-850 TrustRank scoring system and audit methodology

The Universal Creator Trust Score

Like FICO® scores[9] revolutionized credit assessment, SuilaAI's TrustRank provides a standardized, evidence-backed score (300-850) for every creator. Each score is traceable to documented evidence and reproducible from verified inputs.

300-579
Very Poor
Likely spam/bots, low provenance, unsafe or unverifiable
580-669
Fair
Legitimate but weak verification; monitor closely
670-739
Good
Verified creator; consistent quality; suitable for most campaigns
740-799
Very Good
Strong attribution and safety; preferred partners
800-850
Exceptional
Cryptographically verifiable + best-in-class lineage; AI-friendly

Click any band for detailed AI citation likelihood data

Audit Objectives

  • Reduce fraud, brand-safety, and compliance risk across the creator roster
  • Produce evidence-backed Trust Score (300-850) with explainable risk flags per creator
  • Improve AI retrievability: likelihood of being surfaced/cited in LLM-driven discovery
  • Create audit trail sufficient for stakeholder review and regulatory compliance

Scope & Method

  • Scoring Model: 26 computable signals across 4 pillars (Provenance, Temporal, Semantic, Context Lineage)
  • Inputs: Platform metadata/APIs, post manifests, disclosures, link checks, embeddings, safety classifiers, citation graphs
  • Outputs: Creator-level Trust Score, per-signal sub-scores, and actionable remediation steps

What We Measure

  • Pillar 1 - Provenance: Verification tier, tenure, C2PA credentials, disclosure integrity, identity consistency
  • Pillar 2 - Temporal: Freshness, edit/deletion churn, engagement latency & decay fit, anomaly detection
  • Pillar 3 - Semantic: Brand-topic similarity, tone match, claim-fact consistency, safety taxonomy
  • Pillar 4 - Lineage: Backlink authority, collab graph centrality, content attribution, AI Visibility Index

Standards & Compliance

  • FTC Disclosures 101: Influencer disclosure compliance verification [5]
  • C2PA v2.1: Content provenance and authenticity verification [6]
  • JSON-LD 1.1: Structured data for AI discoverability [7]
  • GARM: Brand safety taxonomy alignment

The Four Pillars Explained

Each pillar answers a fundamental question that brands, agencies, and AI systems need answered before trusting a creator. Together, they form a complete trust profile that's both human-understandable and machine-readable.

Pillar 1: Provenance Proof

"Who is this person, really?"
What It Measures

Provenance verifies that a creator is who they claim to be. We measure engagement quality (Bayesian-smoothed interaction rates), audience authenticity (non-suspicious follower ratio), audience geo-match, audience overlap entropy, ad disclosure compliance (#ad/#sponsored), external reputation via knowledge graphs, and content provenance (C2PA signatures). This pillar establishes the foundational "anchor of trust" upon which all other signals depend.

Why It Matters
  • For Brands: Prevents impersonation fraud and ensures contractual accountability
  • For Agencies: Provides documented audit trail for FTC compliance [5]
  • For AI Systems: C2PA signatures [6] give LLMs cryptographic proof of authorship, increasing citation probability

Pillar 2: Temporal Validity

"Are the followers and engagement real?"
What It Measures

Temporal signals detect fake followers and artificial engagement by analyzing patterns over time. We measure follower growth velocity with outlier suppression, posting frequency normalized against niche targets, posting cadence regularity (inter-post interval analysis), metric stability over 90-day windows, feature utilization mix (Stories/Reels/Shorts/Live), and content freshness with exponential decay. The Temporal pillar carries 47.41% weight in the agency model — the strongest fraud predictor.

Why It Matters
  • For Brands: Prevents wasted ad spend on fake audiences (55% of profiles exhibit suspicious behavior)
  • For Agencies: 99.2% precision bot detection vs. ~40% for manual review
  • For AI Systems: LLMs favor consistently active creators with organic engagement patterns over dormant or artificially boosted profiles

Pillar 3: Semantic Coherence

"Is the content authentic and on-brand?"
What It Measures

Semantic analysis verifies content quality and brand safety. We measure text quality via NLP readability and informativeness scoring, multimodal quality (OCR/ASR + visual/audio features), hashtag hygiene (spam detection), brand safety risk (composite toxicity scoring), cross-platform identity consistency, language-audience fit, and topic authority depth. This pillar ensures content meets quality standards and stays within brand-safe boundaries.

Why It Matters
  • For Brands: Ensures authentic voice alignment and prevents brand safety incidents
  • For Agencies: Verifies content authenticity that manual spot-checks miss
  • For AI Systems: LLMs reduce "hallucination" risk by preferring factually consistent sources; structured content with JSON-LD [7] gets higher retrieval priority

Pillar 4: Context Lineage

"Will AI systems cite and recommend them?"
What It Measures

Context Lineage measures a creator's position in the information ecosystem and their visibility to AI systems. We track backlink authority to owned properties, collaboration graph centrality (PageRank in mention/collab networks), content lineage attribution (citation links), SEO surface schema (schema.org/JSON-LD markup), data completeness confidence, and our proprietary Signal 26: AI Visibility Index—measuring presence in AI training data and search. This pillar quantifies "discoverability in the agentic era."

Why It Matters
  • For Brands: Identifies creators who will drive "share of answers" in AI-mediated discovery
  • For Agencies: Future-proofs campaigns as ChatGPT, Perplexity, and Claude become primary search interfaces
  • For AI Systems: This is the "SEO for LLMs"—creators with strong lineage signals appear more often in AI-generated responses
US Patent 12,505,169B2 (Granted Dec. 2025)

Kaizen Loop Learning

Unlike static scoring systems, Kaizen Loop is a patented recursive feedback loop that continuously learns which trust signals matter most — and adapts in real-time. It tracks how platforms, brand algorithms, and AI models weight different trust dimensions, then generates personalized improvement tasks for each creator. The result: trust scores that stay accurate as the ecosystem evolves.

1
Observe

Monitor which creators get cited by ChatGPT, Claude, Perplexity, Gemini

2
Correlate

Identify which trust signals predict citation probability for each LLM

3
Adapt

Dynamically adjust signal weights to match evolving model preferences

4
Prescribe

Recommend specific actions to improve the creator's weakest trust signals

Proactive, Not Reactive

Kaizen Loop identifies which signals to strengthen before platform and AI preferences shift — staying ahead of the curve rather than chasing it.

Multi-Model Intelligence

Each LLM has different trust signal preferences. GPT may weight provenance heavily; Claude may favor factuality. Kaizen Loop tracks sensitivity weights across all major models.

Continuous Learning

As AI models retrain and preferences evolve, Kaizen Loop's recursive feedback ensures scores remain optimized for current—not historical—citation patterns.

Audit Deliverables

Roster Report
Trust Score + band, pillar subscores, and top 5 risk drivers per creator
Compliance Review
Disclosure completeness, usage rights, whitelisting notes, strike history
Brand Safety
Suitability classification, adjacency risk, recommended exclusions
AI Discoverability Report
Signal 26 baseline, citation tracking across LLMs, metadata optimization recommendations
Evidence Pack
Screenshots, logs, manifests for audit trail and stakeholder review

Service Packaging

Per-Campaign Audit
$25K-$150K+
Based on creator count, audit depth, and SLA requirements
Click for details
Monitoring Retainer
$10K-$50K/mo
Alerts, drift detection, re-audits, governance reporting
Click for details
AI Discoverability Add-on
$15K-$75K
Signal 26 baseline, metadata optimization, citation lift tracking
Click for details
Agency Fee Structure
15-30%
Of managed creator spend (or fixed SOW + performance) [8]
Click for details

Evidence Checklist & Audit Trail

Every Trust Score must be traceable to evidence and reproducible from documented inputs.

Verification status + tenure
Disclosure proof (#ad/#sponsored)
Contract/usage rights
C2PA content credentials
Outbound link checks
Manifests/timestamps
Safety classification logs
Attribution/citation presence
Backlink neighborhood snapshot
Distribution channel list
AI retrievability test set
Citations observed

Pillar Weight Discovery

KEY RESEARCH FINDING

Temporal Signals are 3x More Predictive than Provenance

Through ridge regression on LLM citation behavior, we discovered that Temporal signals (β = 0.4741) are the dominant factor in AI citation likelihood—nearly three times more predictive than Provenance signals. This contradicts initial assumptions and reveals that consistency and time-based patterns matter more to AI systems than static identity verification.

α
Provenance
0.1615
16.15%
β
Temporal
0.4741
47.41% (Dominant)
γ
Semantic
0.1805
18.05%
δ
Lineage
0.1839
18.39%

Score Interpretation & AI Citation Likelihood

Score Range Grade Interpretation AI Citation Likelihood
800-850 Exceptional Highest trust, verified excellence >90%
740-799 Very Good Strong trust indicators 70-90%
670-739 Good Solid trustworthiness 50-70%
580-669 Fair Mixed signals, some concerns 30-50%
500-579 Average Limited trust evidence 10-30%
300-499 Poor Significant trust gaps <10%

The Complete 26-Signal Framework

16 FREE signals (public APIs) + 10 PAID signals (premium data sources)

ID Signal Name Pillar Tier Data Sources
P1Seller/Creator VerificationProvenanceFREEPlatform API
P2Origin TransparencyProvenanceFREEListing/Profile data
P3Certification PresenceProvenanceCertification APIs
P4Supply Chain VisibilityProvenanceBlockchain/records
P5Authenticity IndicatorsProvenanceFREEImage analysis, pricing
P6History AuthenticityProvenanceFREEHistorical data
P7C2PA Content ProvenanceProvenanceC2PA API, forensics
T1Review RecencyTemporalFREEReviews
T2Availability ConsistencyTemporalFREEInventory tracking
T3Price/Rate StabilityTemporalFREEPrice history
T4Account TenureTemporalFREEAccount data
T5Listing/Content FreshnessTemporalFREEListing metadata
T6Seasonal Pattern AdherenceTemporalSales/seasonal models
S1Description QualitySemanticFREEText analysis
S2Title-Description AlignmentSemanticFREENLP embeddings
S3Image-Text ConsistencySemanticVision API
S4Review Sentiment ConsistencySemanticFREESentiment analysis
S5Claim VerifiabilitySemanticFact-check APIs
S6Specification CompletenessSemanticFREECategory schema
S7Brand Safety ContentSemanticContent moderation
L1Review History DepthLineageFREEReview metadata
L2Reputation GraphLineageTransaction data
L3Return/Churn Rate HistoryLineageReturn records
L4Cross-Platform PresenceLineageFREEPlatform search
L5Complaint Resolution RateLineageComplaint records
L6Iteration/Version HistoryLineageFREEVersion history

Vertical-Specific Weight Adaptations

Different verticals emphasize different pillars based on trust requirements

Products

E-commerce trustworthiness for AI shopping recommendations

Provenance
16%
Temporal
47%
Semantic
18%
Lineage
18%
Brands

Corporate reputation for B2B and consumer trust decisions

Provenance
25%
Temporal
30%
Semantic
20%
Lineage
25%
Creators

Content creator authenticity for influencer marketing

Provenance
20%
Temporal
25%
Semantic
30%
Lineage
25%
Websites/Agents

Website and AI agent trustworthiness for citations

Provenance
25%
Temporal
20%
Semantic
30%
Lineage
25%

Suila Index Calculation

SI = 300 + 550 × (α×P + β×T + γ×S + δ×L)
SI: Suila Index (300-850)  |  P: Provenance [0,1]  |  T: Temporal [0,1]  |  S: Semantic [0,1]  |  L: Lineage [0,1]

Whitepapers & Resources

WHITEPAPER

Trust Infrastructure for AI Commerce

Building reliable trust verification for the Agentic Commerce Protocol (ACP) ecosystem — removing hurdles from agentic computing for products and websites.

October 2025    18 min read
Read Whitepaper →
WHITEPAPER

Securing the Agentic Economy: Zscaler + SuilaAI

The "Visa Model" for autonomous trust — integrating Zscaler Zero Trust with SuilaAI Provenance. Includes API timing guidance, resilience matrix, and fail-over strategies for enterprise deployments.

February 2026    15 min read
Read Whitepaper →

References

[1] Goldman Sachs Research, "The creator economy could approach half a trillion dollars by 2027," 2023. goldmansachs.com
[2] Grand View Research, "Creator Economy Market Size & Trends Analysis Report, 2030," 2024. CAGR 23.3%. grandviewresearch.com
[3] Oberlo, "Influencer Marketing Statistics 2024," reporting $24B global market. oberlo.com
[4] Dentsu Influence, "Transform Influencer Marketing with Data-Driven System," Dec 2024. dentsu.com
[5] Federal Trade Commission, "Disclosures 101 for Social Media Influencers," FTC compliance guidelines. ftc.gov
[6] C2PA, "C2PA Technical Specification v2.1," Content Provenance Standard, Sept 2024. spec.c2pa.org
[7] W3C, "JSON-LD 1.1: A JSON-based Serialization for Linked Data," W3C Recommendation. w3.org
[8] Favikon, "How Much Do Influencer Marketing Agencies Charge?" 10-30% commission rates. favikon.com
[9] FICO, "Understanding FICO® Scores," Industry-standard credit scoring model (300-850). myfico.com
[10] Forbes, "AI Fraud Has Exploded. This Background Check Startup Is Cashing In," Checkr $5B valuation, $800M revenue, 40% of applications contain faked info. forbes.com

Score Band Details

SuilaAI API Platform

Enterprise-grade API infrastructure for trust verification at scale

99.9%
Uptime SLA
<100ms
Avg Response
26
TrustRank Signals
3
AI Providers Monitored

API Overview

RESTful API with OpenAPI 3.0 specification for seamless integration

OpenAPI 3.0

Full OpenAPI specification with interactive documentation and auto-generated client libraries.

Authentication

JWT Bearer tokens for secure requests. API Keys for server-to-server. OAuth 2.0 for user delegation.

Rate Limiting

Starter: 100/min. Growth: 1,000/min. Enterprise: 10,000/min. Custom limits available.

Official SDKs

Python, JavaScript/TypeScript, Go. Type-safe with full IDE support and async capabilities.

Key API Endpoints

Trust Verification
POST /v1/verify

Core endpoint for real-time entity verification. Returns Suila Index (300-850), recommendation, confidence score, and full signal breakdown. Sub-millisecond in your agent workflow.

<100ms 26 Signals Real-time
NEW
Campaign Management
POST /v1/campaigns

Full campaign lifecycle management. Create, track, and optimize influencer campaigns with automated vetting and performance tracking.

CRUD Operations Auto-Vetting Analytics
AI Discoverability (S26)
GET /v1/ai-visibility

Signal 26 endpoint — track creator citation rates across ChatGPT, Claude, and Perplexity. One dimension of the full 26-signal TrustRank.

3 AI Providers Citation Tracking
Batch Verification
POST /v1/batch

Verify up to 100 creators in a single request. Async processing with webhook callbacks for large-scale vetting operations.

100 per batch Async Webhooks
Analytics API
GET /v1/analytics

Comprehensive analytics dashboard. Track verification volumes, score distributions, and trend analysis across your creator portfolio.

Time Series Aggregations
Webhook Integration
POST /v1/webhooks

Real-time event notifications. Get instant alerts when TrustRank changes, thresholds are crossed, or new signals are detected.

Real-time Retry Logic Signatures

Code Examples

Python SDK pip install suilaai 
from suilaai import TrustClient

# Initialize — runs inside your agent workflow
trust = TrustClient(api_key="sk_live_your_api_key_here")

# The API Call — sub-millisecond, every transaction
result = trust.verify(
    entity="vendor_id_12345",
    context="commerce",
    depth="standard"
)

# Response:
{
  "suila_index": 724,
  "recommendation": "proceed",
  "confidence": 0.91,
  "signals": {
    "review_authenticity": 0.94,
    "merchant_history": "verified_36_months",
    "price_integrity": 0.88,
    "synthetic_content_risk": 0.04
  },
  "audit_trail_id": "sa_20260219_xk92m",
  "scored_at": "2026-02-19T14:23:00Z"
}

"This is what runs inside your agent workflow. Sub-millisecond. Every transaction. The score is already decided before execution happens."

Integration Use Cases

Agency Management Systems

Talent vetting at scale

Integrate TrustRank verification directly into your talent management platform. Auto-vet new creators, monitor existing roster health, and get alerts when scores change.

Roster Health Dashboard Auto-Vetting

CRM Integration

Salesforce, HubSpot, custom

Embed TrustRank scores in contact records. Sales teams see verification status at a glance. Automated workflows based on score thresholds.

Custom Fields Workflow Triggers

Campaign Management Platforms

End-to-end campaign ops

Gate campaign participation on TrustRank thresholds. Real-time verification during onboarding. Continuous monitoring throughout campaign lifecycle.

Gated Access Continuous Monitoring

Automated Vetting Pipelines

Zero-touch verification

Build fully automated vetting pipelines with Zapier, n8n, or custom integrations. Process thousands of creators with configurable approval workflows.

Zapier / n8n Custom Workflows

Developer Resources

Everything you need to integrate SuilaAI into your platform

API Reference
Full endpoint documentation
SDK Downloads
Python, JS/TS, Go
Postman Collection
Ready-to-use requests
OpenAPI Spec
OpenAPI 3.0 YAML/JSON

Enterprise Zero Trust

The "Visa Model" for Autonomous Trust — When and how to call SuilaAI APIs in production

<100ms
Trust Handshake
L0–L3
Tool Classification
~85%
Cache Hit Rate
<0.1%
False Positive Rate
Architecture

The "Visa Model" for AI

Separating authentication from authorization — a battle-tested pattern for autonomous commerce

In the credit card ecosystem, a transaction requires two distinct checks: Authentication (Is this card real?) and Authorization (Does this person have the funds?). In the Agentic Economy, this separation becomes critical.

Role Credit Card World Agentic Economy
Authentication Chip / PIN / CVV Zscaler Zero Trust Exchange
Authorization Visa / Mastercard Network SuilaAI Trust Oracle
Transaction Purchase at POS Agent API Call to Enterprise
Risk Check Fraud Detection (location, velocity) Provenance + Trust Score
Decline Insufficient funds / Suspicious Low trust score / Anomaly pattern

Zscaler cannot know if an agent's request is a hallucination or a fraud. SuilaAI verifies the provenance and trust score of the content itself.

The "Truth Firewall" Architecture

Zscaler handles identity. SuilaAI handles validity. Together: the complete trust stack.

🤖
External Agent
(Proposer)
Unified Trust Layer
SuilaAI Trust Oracle
(The Network — Authorization)
↑ 2. Verify
Provenance
↓ 3. Score
Trust Result
Zscaler Zero Trust Exchange
(The Terminal — Authentication)
1. API Call →
4. Access Grant →
🏢
Enterprise Core
(API / Data)

When to Call SuilaAI APIs

Optimal timing depends on your deployment architecture

Recommended

With Zscaler Integration

Total added latency: < 100ms per request

Phase API Called? Latency
Pre-Authentication No 0ms
Post-AuthN Yes — Trust Handshake < 100ms
Pre-Authorization Cached score 0ms
Transaction Time Yes — Re-verify if > 5min < 100ms
Post-Transaction Yes — Record provenance Async
Direct

Without Zscaler (Direct)

App handles identity + trust scoring

Phase API Called? Latency
Application Layer Yes — Full evaluation < 150ms
Per-Action Yes — Real-time scoring < 100ms
Periodic Refresh Yes — Batch mode Async

Note: Without Zscaler, the application must handle both identity verification AND trust scoring, increasing complexity and latency.

Trust Handshake Payload

Lightweight JSON exchange ensures < 100ms latency per decision

{
  "request_id": "tx-88392",
  "trust_evaluation": {
    "score": 45,                    // TrustRank 300-850, normalized 0-100
    "threshold_met": false,
    "risk_level": "HIGH"              // LOW | MEDIUM | HIGH | CRITICAL
  },
  "provenance_data": {
    "is_hallucinated": false,
    "source_verified": false,
    "reason": "Agent ID matches recent anomaly pattern."
  },
  "policy_action": {
    "verdict": "BLOCK",              // ALLOW | BLOCK | CHALLENGE | QUARANTINE
    "log_reason": "Low_Trust_Score_Policy_7"
  }
}

Resilience Matrix

"Floor Limit" strategy — if SuilaAI is unreachable, Zscaler applies defaults by tool risk level

L3 Critical

Wire Transfer, DB Delete

High-stakes actions that could cause irreversible damage.

Timeout Policy
FAIL CLOSED — BLOCK
L2 Sensitive

Send Email, Edit File

Actions with moderate impact that are partially reversible.

Timeout Policy
FAIL CLOSED — BLOCK
L1 Info

RAG Query, Read Calendar

Read-only operations with low risk and full reversibility.

Timeout Policy
FAIL OPEN — ALLOW w/ Log
L0 Public

Web Search, Weather

Public, read-only calls with zero risk to enterprise assets.

Timeout Policy
FAIL OPEN — ALLOW

Safety Brake in Action

How a high-risk transaction is blocked before reaching the enterprise core

1
External agent sends HTTPS Buy Order request
Agent proposes a high-value transaction to enterprise API
2
Zscaler authenticates identity — AuthN OK
Identity certificate verified. Metadata sent to SuilaAI for provenance check.
3
SuilaAI computes Trust Score: 320 (below threshold)
Agent's history, content provenance, and behavioral patterns indicate anomaly.
4
Policy: BLOCK — 403 Forbidden returned to agent
The internal application never sees the blocked request. Safety Brake operates entirely within the Unified Trust Layer.

Performance Characteristics

Comparison across deployment architectures

Metric Zscaler + SuilaAI SuilaAI Direct No Verification
Added Latency < 100ms < 150ms 0ms
Throughput 10,000+ req/sec 5,000+ req/sec Unlimited
Cache Hit Rate ~85% ~70% N/A
False Positive Rate < 0.1% < 0.3% N/A
Coverage All agent traffic Application-level only None

"The question is no longer should we let AI agents act autonomously, but how do we build the trust infrastructure to let them act safely?"

Zscaler handles the "Who"
SuilaAI handles the "What"
Together — complete trust stack
Patent: Taiwan I892115 | US 12,505,169B2

Let's Connect

Ready to discuss the future of trust infrastructure in the creator economy

Eric@SuilaAI.com
Website
www.suilaai.com
Round
$10M Seed Round
Timeline
Q1 2026 Close
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