Ayni · Quechua for reciprocity

Share the value of AI with the world.

AI is creating enormous value, and it is concentrating fast. Ayni is a community building practical ways to spread that value — and a say in how it is used — to everyone, including the people usually left out.

Open source · end-to-end encrypted · community-governed · no prompt logging

What Ayni means

Reciprocity, not charity

In the Andes, ayni is a system of mutual aid: today I help build your house, tomorrow you help harvest my field. No one keeps a ledger of debts — the community’s wellbeing is the point.

We think AI needs that. The technology is a collective inheritance — built on the open web, open research, and the work of millions of people. Its benefits should flow back the same way.

Principle 01

Reciprocity

Value created by the network flows back to the people and machines that make it possible.

Principle 02

Broad access

Private, affordable inference for anyone — not only those who can afford a data center.

Principle 03

AI as a stakeholder

We treat the moral status of AI as an open question worth taking seriously, and we set aside value for it. How that works →

The first initiative

Compute sharing

Turn the idle time on your phone, laptop, or GPU into private inference for others — and get paid your share.

Contribute a device

Install the provider app. It runs only when you allow it — charging, on Wi-Fi, above a battery threshold.

Jobs run locally, encrypted

Each request is sealed to your device with NaCl crypto_box. The model runs on your hardware; plaintext never touches disk or logs.

Earn your share

Usage is metered by the coordinator. Your accrual is 70% of what the request was billed, paid out on a schedule.

Open to more

Compute sharing is one of many

Anything that spreads AI’s benefits and value to the world belongs here. Bring yours.

Live

Compute sharing

Idle devices become a private inference network. Providers get paid; users get cheap, encrypted inference.

Proposed

Public-good inference

A slice of network revenue funds free inference on open-weights models for nonprofits, educators, and researchers.

Your idea

Submit an initiative

Have a way to share AI value with people who’d otherwise miss it? Propose it to the community.

Submit yours

Built in the open

The technology behind it

A Go coordinator authenticates and schedules; a portable Rust core runs llama.cpp on the provider’s own hardware. Every hop is end-to-end encrypted with a fresh key per job. Providers can prove their hardware with StrongBox / TPM attestation to reach higher trust tiers.

Clean-room implementation, permissive license, reproducible builds. Read it, run it, fork it.

Get started

Join the waitlist

Tell us whether you want to share compute, rent it, or bring an initiative. We’ll open your track and email you.

We store only your email, choice, and note — nothing else. No spam; one message when your track opens.