Any sensor. Any data. One platform.

> If your team collects data from hardware in the field, Beamwarden is the control plane that manages it. A Beamrider node hosts your sensor stack — whatever it measures — and streams authenticated, structured telemetry to Beamwarden. Fleet identity, liveness, deployments, and configuration are managed centrally. Beamforge delivers live rolling statistics and historical analytics without additional infrastructure.

Radiation

CPM, CPS, dose rate from Geiger tubes or scintillators.

Environmental

Temperature, humidity, pressure, air quality, methane, VOCs, light, sound.

Vibration / IMU

3-axis accelerometer, gyroscope, magnetometer — structural or motion sensing.

Position / GNSS

GPS coordinates, altitude, velocity — mobile and geofenced deployments.

Atmospheric

Wind, precipitation, barometric trend, UV index.

Custom

Any numeric payload. Beamwarden stores and surfaces it — no schema required in advance.

Beamrider-0003 — Live Node — Multi-Sensor Stack

> Currently operational: a Raspberry Pi 3 running a multi-sensor stack over an Arduino coprocessor — DHT for temperature and humidity, BMP280 for barometric pressure, LIS3DH 3-axis accelerometer, ambient light, and sound level. The same node runs live SGP4 orbital propagation for the ISS, streaming real-time position and velocity alongside the physical sensor readings in a single payload. All channels arrive on every reading cycle: ingested, timestamped, and queryable immediately.

Temperature 24.5 °C

ISS Pos X -6592 km

Humidity 48.1 %

ISS Pos Y -1448 km

Pressure 1005.4 hPa

ISS Pos Z -436 km

Accel X 0.30 g

ISS Vel X 1.40 km/s

Accel Y 0.85 g

ISS Vel Y -4.58 km/s

Accel Z 0.15 g

ISS Vel Z -6.00 km/s

Light Level 3 %

> Three nodes are operational today: a MightyOhm Geiger counter streaming radiation counts, the multi-sensor node above, and a Pi Sense HAT running magnetometer, accelerometer, gyroscope, temperature, humidity, and barometric pressure in parallel. All three use the same identity model, the same ingest API, and the same Beamforge analytics engine — Beamforge runs a live Unscented Kalman Filter against every sensor's telemetry automatically, flagging anomalies as they occur with no per-sensor configuration. The fleet scales from one node to many, across heterogeneous hardware and sensor types, without changing the integration model.

Ready to deploy your fleet?