Built in Kampala · FFT Signal Intelligence
PulseGuard applies frequency-domain signal intelligence to Uganda's most urgent problems — not data centres. Farms. Boreholes. Clinics. Forests. The same physics. A different purpose.
“Zero data is not neutral. It is a decision made by default.”
The Platform
PulseGuard's processing pipeline — built on Fast Fourier Transform analysis — converts raw sensor streams into frequency-domain signatures. Anomalies appear as spectral deviations before they become failures.
The physics
is identical whether the signal comes from a motor bearing or a borehole pump. We changed the sensor. We changed the story.
Six Frontiers
The same FFT pipeline. Six different sensors. Six communities who deserve data they’ve never had.
The Process
STEP 01
Low-cost sensors attach to the asset. Data streams continuously via GSM or LoRa — even in areas with limited connectivity. Edge processing handles gaps.
sensor → ADC → bufferSTEP 02
The FFT pipeline converts raw signals into frequency-domain signatures. Each reading is scored against a learned baseline. Deviations are classified by severity.
FFT · 512 bins · <2.3sSTEP 03
Alerts delivered via SMS, mobile app, or dashboard within seconds of detection. The health worker, farmer, or operator gets actionable information — not raw data.
GSM · LoRa TX · dashboard“We did not invent a new technology. We took FFT signal intelligence and aimed it at the problems sitting right outside our door.”— PulseGuard · Built in Kampala, Uganda