The first L1 where Federated Learning aggregation runs at the consensus layer.
Verify · Compensate · Trace — on any device, any FL framework.
Federated Learning works in research. Only 5.2% reaches production. Three structural problems no FL framework solves.
Malicious or low-quality gradient updates corrupt the global model. No way to verify what nodes submit. Detection requires a reference, which becomes a single point of trust.
Rational actors take the global model without contributing quality data. Honest participants subsidize freeloaders. Without quality-weighted compensation, FL trends toward useless.
Who contributed? What data? Impossible to audit. EU AI Act 2026, HIPAA, GDPR all require auditable lineage of training data — FL frameworks don't track this.
Three ways to join the network. All connect to the same testnet. Pick yours.
Manage SAVI, sign transactions, and connect to dApps directly from your browser. One-click testnet access — no setup required.
A full Lightnode in your pocket. Earn SAVI in the background while you use your phone. Native ARM64 — not a web wrapper.
GUI installer for desktop nodes. Guided setup in under 5 minutes — no terminal, no configuration files. Your node is live on the first run.
Ethereum: $482 per million transactions. Solana: ~$210. Savitri: $25 — on the same class of hardware you already own.
Every SAVI earned in testnet contributes to your Genesis Score — your share of the network at mainnet launch. The earlier you start, the further ahead you'll be.
25 cloud nodes. 0 crash in 48h adversarial test. 1 enterprise customer in production for 1 year. Verify it yourself.
arrow_forwardStandard JSON-RPC, Rust SDK, Savitri-20/721. If you know Ethereum, you're up and running in an afternoon.
arrow_forwardWindows, macOS, Linux. Guided installer. If you can install an app, you can run a node.
arrow_forwardNo spam — only when something is real.
Testnet is live now. Mainnet target: Q4 2026.