LIFE AI

LIFE AI is a healthcare-focused Layer 1 on Avalanche that runs a Biohub layer combining AI inference, biotech and contributed personal health data on one stack. Its users are hospitals, pharmaceutical companies and research institutes in Southeast Asia, plus individuals willing to license their own health data. The problem it targets is fragmentation: records, genomic files and wearable streams sit in separate silos, so researchers cannot obtain continuous, traceable real-world samples. The design has three parts: a data foundation built on real-world health trajectories, intervention feedback loops and phenotype-to-outcome links; Proof-of-Life instead of forced personhood, tying data contribution to precision-health services; and Avalanche subnets that give institutions with different compliance requirements separate execution environments.

Public materials cite more than 15 PB of accumulated health data and over 110,000 verified identities. A first testnet phase opened in November 2025 with three scoring tracks for work, impact and commitment, plus validator scoring. Two disclosed deployments are a personalised stroke-prevention programme with Kalbe Farma, where development time fell from 24 months to six weeks, and an autism genetics study at Hue Central Hospital that cut research cost from USD 250,000 to USD 10,000.