Every answer runs on someone else's servers, metered per token, gone the moment you stop paying.
Prompts, files and voice are shipped to a third-party cloud. Privacy is a setting you can't verify.
No shared memory or identity across your phone, tablet and desktop. Every app is a stranger.
The next AI won't be a website you visit. It will be something you own — that knows you, follows you across devices, and keeps your data on your side of the glass.
LIZ is a private on-device AI unit — one identity, memory and voice across all your devices. It answers locally by default, and acts as a dispatcher that routes to external neural networks only when a task needs them — behind a safety gate that redacts before anything leaves.
Every block above is implemented. The dispatcher & some agentic paths ship flag-gated off until hardened — an honest "built, being turned on," not a mock.
Anonymous, no-account chat with a multi-provider fallback router, rate limits, PII redaction & ad slots — the funnel top, fully tested.
pay.agime.ai — a 0.5% universal agent payment rail, deployed and settling live payments end-to-end.
Register → activate → a real LIZ unit assigned. Proven end-to-end this week.
Your own dedicated private AI unit — on-device brain, memory, voice, native app. High-margin, sticky, privacy-first.
Configurable persona bots — pick an archetype & skills, one click provisions a private box. Full storefront → provision pipeline built.
A universal payment rail for AI agents — the toll booth of the agent economy. Deployed, live, reusable beyond our own products.
Consumer subscription (recurring) + self-serve bots (volume) + a payment take-rate (infrastructure) — three independent engines on one stack.
Own your AI, on your device — with the frontier one dispatch away.
Cloud assistants can't credibly promise privacy. Pure local models can't match the frontier. LIZ is the only posture that offers both — local-first, frontier-on-demand, behind a gate you can audit.
Local-first inference + an egress gate that redacts and audits. Not a policy — an architecture. The opposite of the incumbent cloud model, so they can't follow without cannibalizing it.
One identity + memory + persona across every device. Switching cost compounds with every remembered conversation.
We route to whichever model wins each task. We ride the frontier's progress instead of betting the company on one lab.
Our own payment gateway means we monetize every transaction across the ecosystem — and can rent the rail to others.
We show this ledger deliberately. Everything on the left is verifiable in the running system today; everything on the right is scoped, not hypothetical.
10-seat testing on the live fleet; close the money→service loop; harden voice & dispatch.
Live payments on, app-store builds signed, free-chat keys, moderation for public traffic.
Ad campaign on the free-chat funnel → LIZ & OpenClaw conversion; first paying cohort.
Grow units, open AGIME Pay to third-party agents, expand device & platform coverage (iOS).
We're raising to turn a working fleet into a launched product: flip on live payments, ship store-ready apps, and run the first paid-traffic cohort.
Live payments, app-store readiness (signing, iOS), safety/moderation for public traffic.
Ad campaign on the free-chat funnel; convert to LIZ Personal & OpenClaw; first paying cohort.
Founder-led today. Key hires + GPU/fleet capacity to scale units and the payment rail.
Numbers, team detail and terms are placeholders for the founder to set — the deck is otherwise complete and self-consistent.
Private, portable, and always improving — the frontier one dispatch away. We've built the hard part. Let's launch it.