We deploy, monitor, and maintain off-grid IoT sensor networks — and our AI core alerts you when conditions change.
What if you could monitor conditions anywhere — no power, no internet, no staff?
Remote airstrips with no weather reporting. Golf courses with no lightning detection. Quarries with no wind monitoring. Mountain ridgelines with no data at all.
These locations share the same problem: they need real-time environmental data, but existing solutions require infrastructure they don't have.
The data from these places has never existed. That's the opportunity.
AI-driven remote sensing with natural language alerting — at your location, on your terms.
We deploy solar-powered sensor devices to locations with no power, no internet, and no staff. Our AI core monitors conditions 24/7 against your rules and notifies you instantly when thresholds are crossed.
Tell the assistant what you need in plain English: "Alert me when wind exceeds 35 mph." The AI handles the rest.
Proven in the most demanding environments. Applicable everywhere.
A bush pilot flies a solar-powered weather station to a backcountry airstrip in the Colorado Rockies. No power, no cell tower in sight. The station acquires GPS, connects via LTE, and begins reporting wind, temperature, and pressure every 15 minutes. Pilots checking awoslog.com before departure now have real-time conditions at a strip that has never had weather data. The AI assistant answers questions about current conditions and trends in natural language. Firmware updates arrive over the air — no return visit needed.
A solar-powered device on the maintenance building reports weather and lightning detection. The superintendent tells the AI assistant: "Alert me and my grounds crew when lightning is within 6 miles." When a storm approaches, everyone's phone alerts immediately. OSHA compliance documented. Insurance premiums reduced 10-25%.
BLM deploys 10 monitoring devices on ridgelines during fire season — a seasonal contract. Wind speed and direction data feeds directly into fire management decisions. AI-generated daily reports summarize conditions across all sites. Devices are retrieved in October. No permanent infrastructure, no capital purchase.
A quarry operator subscribes to wind monitoring for EPA dust compliance. The device reports wind direction every 15 minutes. The operator creates a rule in plain English: "Alert me when wind is from the east and speed exceeds 20 mph." When conditions match, the operator adjusts dust suppression. Compliance logs are generated automatically from the API.
Three monitoring devices deployed at summit, mid-mountain, and base. Mountain ops tells the AI: "Alert me when gusts exceed 45 kt at any summit station, and when humidity drops below 30% at base." The AI creates compound rules, monitors continuously, and sends targeted notifications. Snowmaking teams use temperature and humidity data to optimize production schedules.
We mine data from locations others can't reach.
Traditional weather stations require AC power, internet, and regular on-site maintenance. That limits them to airports, buildings, and developed sites.
This means we deploy where no one else can: backcountry airstrips, mountain ridgelines, remote quarries, wilderness fire zones, off-grid golf courses.
The data from these locations has never existed before. That's what makes it valuable.
AI-native IoT platform purpose-built for remote environmental monitoring.
We're not raising capital. We're building partnerships.
The platform is live. The API is documented. The first devices are reporting.
Whether you need monitoring at one site or a hundred — we'll deploy a pilot at no cost to prove the capability.