We don't need the money. That's the point.
ARMES is a profitable, bootstrapped AI platform built by one person — riding the largest consumer-software wave in history. Capital is optional here. The right partner is not.
Most startups raise to survive. We'd raise to accelerate.
ARMES is profitable and self-funding today. That changes the conversation entirely — this is an invitation to compound something that already works, not a rescue.
Profitable and self-funding
ARMES pays for itself today and the unit economics improve as it scales. There is no runway clock and no pressure to raise.
Radically capital-efficient
One founder, no payroll, built with the very platform we sell. AI-native operators run an order of magnitude leaner than traditional software teams — and ARMES is the proof.
Founder-controlled and fully focused
This is my only venture and my total focus. Decisions are fast, the vision is undiluted, and the product ships at the speed of one obsessed builder.
Capital is an accelerant, not a lifeline
If we partner, it's to pour fuel on distribution, marketing, and customer acquisition — not to keep the lights on. We're choosing partners, not raising to survive.
Built with ARMES, by one person.
The clearest proof of the product is that a solo founder used it to build a world-class platform. AI-native operators run an order of magnitude leaner than traditional software companies — and ARMES is living evidence of where that curve is heading.
Revenue per employee at AI-native startups, vs ~$300K at traditional SaaS
Lean AI Leaderboard, 2026
OpenAI's Q1 2026 operating margin amid an estimated ~$25B cash burn for the year
The Information / Sacra, 2026
The fastest-growing market in software — and it's fragmenting.
Generative AI is scaling faster than any category in tech history. As more frontier labs ship great models, no single app stays best at everything — and users feel it in their wallets.
Generative AI market in 2026, growing ~112% year over year
Bloomberg Intelligence, 2026
Consumer AI apps revenue, 2026 to 2030
Sensor Tower / Bloomberg Intelligence, 2026
Annual US consumer surplus from generative AI
Stanford AI Index, 2026
Where ARMES plays
We sit in the consumer and prosumer layer of that market: the people and small teams already paying for several AI tools who want one private, unified place to use all of them. As that consumer category grows from roughly $14.6B to ~$89B by 2030, the winners will be the apps that consolidate intelligence rather than add yet another subscription. That's the lane ARMES was built for.
Consumer AI apps revenue — Sensor Tower / Bloomberg Intelligence, 2026
The future isn't one model. It's all of them, in one private place.
People are paying for four AI tools and switching between them by hand. ARMES is the consolidator: every frontier model, one thread, one bill, one memory — with privacy built in.
Average AI subscriber now pays this across 4 separate tools
Bango, Nov 2025
Want all of their AI subscriptions combined into one bill
Bango, Nov 2025
Of AI professionals already use multiple models
Perspective AI, 2026
ChatGPT's share of AI chat fell this much in a year as users diversified
Perspective AI, 2026
One app, every frontier model
Intelligent auto-routing picks the best model for each turn — Claude, GPT, Gemini, Perplexity and more — inside a single thread whose context and memory never break. The thinking about 'which model?' disappears.
Transparent, not a black box
Users can see which model answered and watch ARMES agents collaborate in the open. Routing builds trust instead of hiding behind it — the opposite of a sealed system.
Context that compounds
A flexible Notes layer that every agent can read and write becomes an always-current memory. The more you use ARMES, the more valuable and personal it gets — that's the retention moat.
Private by architecture
All inference runs over zero-data-retention enterprise endpoints. Privacy isn't a setting; it's the foundation — and increasingly the reason people switch.
External proof the model works
Perplexity reached ~$450-500M ARR and ~100M monthly users at a ~$21B valuation — proof that a unified, multi-model consumer experience commands a premium. ARMES applies that same consumer-aggregation insight — but across every lab, with transparent routing and a memory that compounds.
FT / Sacra, 2026
Quiet by design — and growing on its own.
I built toward product-market fit in stealth before adding distribution. The signals that matter most are already here; the hard numbers I'm glad to walk through privately.
Grown entirely by word of mouth
Zero acquisition spend. The people who find ARMES tell the people they care about — that's been the whole growth engine so far.
The users who find us, stay
Retention is the signal I optimize for, and it's strong. Power users who've lived in ChatGPT and Claude tell me the outputs here are better.
Live on web, PWA, and iOS
A real product in real hands across every device, with 14+ frontier labs and counting unified behind one private interface.
Built before scaling — on purpose
I stealth-built toward product-market fit first. The public App Store launch is the inflection point: distribution added to a product that already holds people.
Revenue, retention curves, and unit economics are real and improving — I keep the specifics private and share them directly with serious partners in a conversation.
Let's start a conversation.
This isn't a raise — it's access. If the thesis resonates and you can help ARMES reach more of the people it's built for, I'd love to talk. The best introductions start as a real conversation, and I'm happy to share the detail privately.