Dryad Networks provides Silvanet, a network infrastructure for the forest utilizing AI-powered sensors for ultra-early detection of wildfires. Applying near real-time gas data analysis across 30,000+ IoT devices deployed in 20+ countries, the machine-learning algorithms can analyze fire risk and detect wildfires within minutes from ignition, before visible flames, enabling early intervention. Built on solar-powered wireless LoRaWAN mesh networks, Silvanet enables infrastructure resilience independent from terrestrial telecom systems, critical for remote regions during climate-intensified wildfire seasons. Automated model updates continuously refine detection and risk analysis accuracy, converting sensor data into actionable intelligence for any organisation seeking to protect critical assets in proximity of forested areas. Taking a leap forward, Dryad has recently demonstrated the new Silvaguard drone system, which autonomously locates and extinguishes a fire detected by Silvanet in under 12 minutes with no human intervention, marking a major leap forward for early wildfire detection and response.