Common questions about IrisGo's business model, competition, and Series A fundraising
Our go-to-market is B2B: OEMs pre-install IrisGo on every AI PC they ship. Acer is signed, with additional OEMs in our pipeline. This gives us near-zero customer acquisition cost.
Our revenue is B2C (premium subscriptions starting from $14.9/mo) plus B2B (data annotation services for AI companies).
Think of the Spotify-carrier model: carriers distribute the app on every phone; Spotify converts users to paid plans. OEMs distribute for us. Users pay us.
CAC
≈ $0
OEM pre-installation
ARPU
from $14.9/mo
Premium subscription
Gross Margin
70-80%
Platform business
LTV:CAC
Exceptional
Denominator ≈ zero
Additional revenue streams from Skills Marketplace (30% platform take rate) and Data Annotation Network (B2B) further increase blended ARPU. We use subscription-only for conservative estimates.
Microsoft Copilot: One-way revenue (users pay $30/mo, Microsoft takes all)
IrisGo: Three-way profit platform (users earn, developers earn, we take commission)
Copilot: Windows built-in (Microsoft controls)
IrisGo: OEM pre-install partnership (we keep IrisGo brand, like Intel Inside)
OEMs get differentiation + Skills revenue share
Copilot: Closed system (developers can't participate)
IrisGo: Open platform (Skills Marketplace: 30% platform / 70% to developer)
Platform economics always beat closed products. Android beat Nokia for this exact reason.
IrisGo provides earning platform (users do annotation, earn money)
Copilot is just productivity tool — can't be a unique PC selling point
OEMs get revenue share from Skills sales
We split our 30% commission with OEMs
Transform from "selling hardware" to "hardware + recurring revenue"
"Powered by IrisGo" (like Intel Inside)
Not white-label — OEMs can showcase partnership with innovative AI platform
100M+ OEM pre-install = instant distribution
GPT Store needs organic growth
PC user LTV > mobile app user
Stable subscription model (not just one-time payment)
We're the first AI PC Skills Marketplace
Developers can capture the AI PC category early
We will never do white-label. This is our core principle.
Value accumulates in IrisGo, not individual OEMs
User loyalty: Switch PCs but still use IrisGo (data doesn't get lost)
Developers create IrisGo Skills (cross-OEM)
Not Acer Skills / HP Skills (fragmented)
Intel Inside: Kept Intel brand
Android by Google: Kept Android brand
These prove brand partnership model works
AI-in-cloud is already mature (ChatGPT, Claude)
AI-on-device is the next wave (100M+ AI PCs)
Not just AI assistant (product layer)
It's AI PC's operating layer (platform layer)
Three-engine flywheel creates network effects
Lman (COO): 25+ years cross-domain hardware-software integration, OEM relationship builder
Jeffrey (CEO): ex-Apple Siri Engineering Manager, CMU ECE
Signed Acer within 3 months (execution speed)
100M+ pre-installed users = solve cold start problem
Competitors need $50/user CAC to acquire customers
Three-engine flywheel: Users ↔ Developers ↔ OEMs
More users → More developers → More Skills → Platform value ↑
Annotation data accumulation
User behavior data (context understanding)
Developer best practices (which Skills work best)
Developer ecosystem (investment cost)
User data migration cost
IrisGo = de facto standard for AI PC Skills
10 Years Later:
Just like iOS/Android defined smartphone ecosystems, IrisGo will define the AI PC ecosystem. First-mover advantage + ecosystem = hard to replace.
12 months execution + 6 months buffer
Target: Series B ready ($50M+ ARR)
Dell, HP, Lenovo, Acer, ASUS — full AI PC lineup
Not niche products, mainstream upgrade
Risk: If no more OEMs sign after Acer
Mitigation: HP meeting scheduled, ASUS MOU in review
Risk: If Microsoft restricts third-party AI platforms on Windows
Mitigation: We're complement (supplementary), not replacement
Risk: If developers don't want to create IrisGo Skills
Mitigation: OpenClaw already has 10K+ users (developers love us)
But Opportunity >> Risk:
$454M SAM, we only need 10% to reach $45M ARR.
We don't compete — they're "developer tools", we're "platform layer".
2028-2030 timeline
$50M+ ARR, 100%+ growth rate
Benchmark: Unity (IPO $13B), Figma (pre-acquisition $10B valuation)
Potential buyers: Google, Meta, Microsoft (ironically)
Acquisition rationale: AI PC platform layer + developer ecosystem
Like Notion, Figma (before acquisition)
Platform companies can operate independently long-term
Our goal is IPO, but we won't rule out strategic offers (if valuation > $5B).
Ready to discuss IrisGo's Series A opportunity?
Let's build the Android for AI PCs together.