Case Studies

Real Problems.
Real Results.

Every engagement below started with a real problem and ended with a number that proved it was solved. No inflated claims. No vague outcomes.

Industrial IoT · Environmental Automation

From manual panic to autonomous calm.

The Problem

Fish were dying and no one knew why until it was too late.

A multi-pond aquaculture operation was losing yield every season to dissolved oxygen crashes and ammonia spikes. Monitoring was manual — staff checked vitals once every few hours. By the time a problem was visible, the damage was done. Emergency interventions were reactive, expensive, and often insufficient.

What We Built

Continuous telemetry. Autonomous remediation. No humans in the loop.

We deployed a network of pH, dissolved oxygen, and ammonia sensors across all ponds, connected via MQTT over LTE-M to a cloud command layer. When any parameter crosses a pre-set danger threshold, the system autonomously triggers aerators and water pumps within seconds — and simultaneously sends multi-channel SMS alerts to the farm operator. No manual check-in required.

MQTTLTE-MEdge AIFastAPISupabaseGSM Alerts

The Results

Metric
Before
After
Emergency response time
2–4 hours
< 2 seconds
Oxygen crash incidents
12 / season
0 / season
Manual monitoring rounds
8 / day
0 / day
Estimated yield loss
15–20%
< 1%

The system responded to a DO crash at 3am. By the time I woke up, it had already fixed it.

Farm Operations Manager

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