🧘 ZenDAO

Small language models (1B-7B parameters) are revolutionizing edge AI, enabling sophisticated intelligence on devices without cloud connectivity. Conservation field work often occurs in remote areas without reliable internet—making edge AI critical for real-time species identification, habitat monitoring, and ranger support. ZenLM, a family of small conservation-focused language models, fills this gap by providing AI capabilities that run on smartphones, camera traps, and field devices. The edge AI market is projected to reach $15 billion by 2027, driven by privacy concerns, latency requirements, and connectivity limitations. By specializing ZenLM for conservation workflows, ZenDAO creates AI tools that work where conservationists work—in forests, oceans, and deserts far from data centers.