Discover our services

From real-time monitoring to advanced forecasting, our platform and experts help operators, consultants, and owners detect risks, uncover opportunities, and make better decisions with confidence.

Screenshot of a data monitoring webpage showing temperature data over time at Pleasant Lake, part of the University of Alaska Fairbanks geology research project, with graphs, charts, and site details.

Data Dashboard

$45/mo/site

Access, analyze, and act on real-time remote sensor data delivered accurately & securely with beadedcloud.

  • 24-7 secure access to your project’s data from a single dashboard.

  • Monitor anywhere through the  internet (web browsers on desktop or mobile devices).

  • API allows for seamless connection with other software platforms.

  • Download data as .csv.

  • Aggregate data over for many time scales.

  • View options: table, time series graphs, and profile graphs.

  • Animate profile graphs through time.

  • Site locations plotted in Google Maps for easy reference and comparison.

  • Share data easily with others using the “add user” function.

  • Control user access with individual accounts.

  • Keep a digital twin of all your beadedstream sensors, loggers, and connectivity.

  • See which units are assigned to which projects.

Line graph titled "When Can I Build my Ice Road?" showing temperature over time with live data and forecasted data. The temperature drops below -5°C in 14 days, indicating it's time to build an ice road, marked by an orange circle and labeled "In 14 days. You can start building your Ice Road."

Automated Analytics

$250/mo/site

Temperature Forecasting Tool (TFT), Snow interface detection, and Wind Induced Vibrations (WIV) are examples of this service-level. It includes some of the following data transformations:

  • Automated weekly reports showing maximum observed amplitudes, dominant frequencies, and correlation to wind events.

  • Converts acceleration into displacement.

  • Uses the Fast Fourier Transform (FFT) for detecting dominant frequencies. This is how vibrational modes will be identified.

  • A machine learning-based model providing 30-day ground temperature forecasts for Alaska's North Slope.

  • Detect snow-air interface using temperature differences.

Two images of industrial pipelines with sensors. The left image shows a vibration sensor attached to a pipeline under a clear blue sky. The right image shows a wind speed and direction sensor mounted on a pipeline with a snow-covered ground and blue sky.

Custom Developement

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Any project size or type we want to help you tackle it!

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