Product Timeline

FAR AI is building toward a future where AI inference is open, affordable, verifiable, and private by default. The roadmap progresses through three phases, each building on the foundations of the last.

Phase	Timeline	What It Delivers
Phase 1 - Alpha Network	Live	Full security runtime, Reliability Score routing, TCP and homogeneous distributed inference, OpenAI-compatible API. Calibration of routing weights and tiered model catalog in progress.
Phase 2 - FAR-ZK Lazy	Near-term	Zero-knowledge proofs on the dispute resolution path. When a developer disputes a response, the node produces a cryptographic proof of correct execution. Dispute resolution becomes automatic and mathematically certain.
Phase 3 - FAR-ZK Eager	Mid-term	Per-inference zero-knowledge proofs. Every completed job is accompanied by a proof of correct execution, verified before payment is authorized. Correctness and payment become atomic.
Long Horizon - Input Privacy	Research phase	Goal: the developer’s prompt is never visible in plaintext to any FAR-controlled component.

Each phase is additive, earlier guarantees remain in place as new capabilities are introduced. The Alpha network’s statistical verification does not go away when ZK proofs arrive; it runs alongside them, providing defense in depth.

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Executive Summary

The Problem

The FAR AI Solution

How It Works

FAR AI Security

The Reliability Score

Economic Model

Node Requirements

Developer Experience

Roadmap

Why FAR AI

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