Cloud-based platform to remotely monitor environmental sensors.
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Designed for system integrators and consultants, eagle.io helps you turn time-series data into actionable intelligence.
Acquire data in real-time from any data logger or text file, transform data automatically using processing and logic, receive alerts for critical events, and share access with your clients.
That’s why eagle.io is trusted by some of the world’s biggest companies to help them better understand their natural assets and environmental conditions in real time.
"eagle.io has freed up a full-time equivalent person, allowing them to focus on higher value work"
"eagle.io delivers what our clients demand"
Every interaction is so fast and fluid you’ll forget you’re using a web browser. Avoid the road-blocks of legacy systems, and discover the power of real-time. As events occur in the field you’ll instantly see the results on screen.
Take control of who can access, configure and administer your network or subscribe to notifications when things change. Empower field teams with instant answers and supercharge the way you secure and share your data with others.
Rest assured you will always have access to your critical data with our 99.9% up-time guarantee and commercial grade service level agreement. We also offer extensive email and phone support.
Create a unique presence with our customization features – apply your own company branding to the eagle.io engine or create managed accounts for your clients using their logos.
Measure flows volumes over weirs, quality of water in surface water, estuarine and ocean environments, calculate loads in real time. Detect impact to waters and manage water assets.
Connect to industry standard Meteorological stations, generate wind-rose data in real time, integrate with ESRI arcGIS to build rich spatial informatics on local climate variations.
PM10, PM2.5 from high and low volume air samples displayed in real time to notify operators of issues in real time. Store and display average noise readings over 10 minute or 1 hour intervals from logging noise meters.
Understand structural changes over time with displacement charts, and manage large datasets and sensor networks associated with geotechnical monitoring.
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