Dryad Silvanet — Ultra-Early Wildfire Detection.

AdaptConn is the official US reseller and deployment partner for Dryad Networks Silvanet — AI-powered multi-gas sensors (VOC, CO, and PM2.5) capable of detecting wildfires as early as the smoldering phase, within minutes of ignition, before flames or visible smoke appear.

Gen-4-Pro Silvanet Wildfire Sensor

The next generation of ultra-early wildfire detection. Enhanced gas and particulate sensing, triple energy storage, a larger solar panel, and direct-to-satellite connectivity — engineered for the hardest forest deployments.

  • Enhanced CO & PM2.5 sensors: Detects combustion gases and fine particulates earlier.
  • Triple energy storage: Three times the on-board energy reserve for extended autonomy.
  • Larger solar panel: Reliable charging deep under the forest canopy.
  • Direct-to-satellite via Kinéis: Optional direct-to-satellite uplink through the Kinéis constellation — no terrestrial backhaul required.

Engineered for the canopy.

Solar-powered, tree-mounted, and built for a decade-plus of service life with zero maintenance schedule.

Test results were outstanding.

In testing completed January 2026 at Cal Fire's Jackson Forest, Silvanet sensors were spaced at various distances from the ignition point and activated in order of distance. Each sensor reported within the elapsed times below.

  1. Sensor 1 - 15 min after ignition
  2. Sensor 2 - 30 min after ignition
  3. Sensor 3 - 45 min after ignition
  4. Sensor 4 - 60 min after ignition

The Dryad Difference.

Why Dryad Gen-4-Pro Silvanet succeeds where other wildfire sensors failed.

The 2024 DHS OIG report found that earlier wildfire sensor programs failed on detection latency, false-alarm rates, connectivity, and field reliability. Dryad's Gen-4-Pro Silvanet addresses each failure mode — and was independently validated at Cal Fire's Jackson Forest in January 2026.

Dryad detects fires in the smoldering phase — long before cameras or satellites can see them.

Capability Prior Sensors (DHS OIG, 2024) Dryad Gen-4-Pro Silvanet
Detection latency Often hours after ignition; reliant on visible smoke or thermal signatures. First sensor activated 15 minutes after ignition at Cal Fire's Jackson Forest.
Detection method Cameras and satellites — require visible smoke, line of sight, or daylight. Gas-based detection (CO, H₂, VOCs, PM2.5) at the smouldering stage, before visible flame.
False alarm rate DHS OIG noted high false-positive rates degrading dispatcher trust. On-device AI trained on combustion gas signatures, validated in live forest test.
Connectivity Cellular/Wi-Fi dependent; failed in remote forest deployments. Solar-powered LoRaWAN mesh + optional direct-to-satellite uplink — no terrestrial backhaul required.
Power & service life Battery-limited; required field maintenance within 1–2 years. Solar-powered with triple energy storage and larger panel — 10–15 year service life, zero scheduled maintenance. Dryad uses stable Supercapacitors, not lithium batteries.
Field validation DHS OIG (2024) found prior programs lacked independent operational validation. Independently validated at Cal Fire's Jackson Forest, January 26, 2026.

Sensors, mesh, gateways, cloud — one resilient system.

The complete Silvanet suite pairs solar-powered AI multi-gas sensors with a resilient LoRaWAN mesh network, Mesh and Border Gateways, and a cloud platform delivering real-time alerts, analytics, and ongoing forest health monitoring. Detection happens in the smoldering phase — well before flames or visible smoke — by sensing VOCs, CO and PM2.5 on the forest floor.

Gen-4-Pro Wildfire Sensor

Solar-powered gas sensor that detects combustion gases at the smouldering stage, well before open flame.

Silvanet Mesh Gateway

Solar-powered LoRaWAN mesh relay that extends sensor coverage deep into the forest canopy.

Silvanet Border Gateway

Forest-edge gateway that aggregates mesh traffic and forwards alerts via cellular or satellite uplink.

Silvanet Cloud Platform

Real-time situational awareness, sensor health, and alert routing for fire crews and dispatch.

Silvanet — Wireless / LoRa to Internet / Cloud

Deployed in real forests, by AdaptConn.

Silvanet sensors and mesh gateways installed in California forests by AdaptConn field teams — solar-powered, tree-mounted, and ready to detect smouldering combustion before flames appear.

Faster than any other product available.

Camera- and satellite-based detection require visible smoke or heat signatures. Silvanet detects the gases of combustion at the source — minutes after ignition, often before a fire is visible at all.

  • AI-powered multi-gas detection

On-device AI senses VOCs, CO and PM2.5 released in the smoldering phase — detection within minutes of ignition, before visible smoke or flame.

  • Resilient solar LoRaWAN mesh + Kinéis satellite

Solar-powered sensors and Mesh/Border Gateways form a self-healing LoRaWAN network, with optional direct-to-satellite uplink via Kinéis. Stable Supercapacitors — not lithium batteries — deliver a 10–15 year service life with no scheduled maintenance.

  • Saves lives, wildlife, infrastructure and carbon sinks

Dramatically reduces firefighting costs, protects human lives and wildlife, safeguards critical infrastructure, and helps preserve forests as carbon sinks — while enabling proactive forest health and growth monitoring.

  • Validated at Cal Fire's Jackson Forest

Independent test results from January 2026: sensors activated in distance order at 15, 30, 45 and 60 minutes after ignition.

  • Deployed and supported by AdaptConn

As Dryad's official US reseller and deployment partner, AdaptConn handles site planning, installation, integration, and ongoing support.