Silent Knowledge Extraction
“Your workers are already labeling your data — they just don't know it.”
Transform informal WhatsApp field reports into structured, actionable operational data. Silent ingestion from existing group chats — zero behavior change for field workers. Built for palm oil estates and agricultural operations where connectivity is a luxury.
Field workers send 100+ WhatsApp messages daily — complaints, photos, voice notes, location pins. This “dark data” contains richer operational intelligence than any sensor, but it's invisible to management systems. Until now.
The AI connects dots humans can't — correlating WhatsApp field reports with sensor telemetry and weather data within a 6-hour window, then presenting the full evidence chain for human approval.
3 independent signals correlated within a 6-hour window. Full evidence chain available for human review.
Workers use WhatsApp as usual. Our NLU pipeline extracts incidents (e.g. 'truck stuck') and automatically cross-references OBD-II fleet telemetry to dispatch tow tractors.
AI correlates underperforming blocks (Yield vs Target) with worker GPS coverage gaps, rainfall data, and overdue fertilizer schedules to generate automated recovery work orders.
Correlates expected yields (WhatsApp bunch counts × Average Bunch Weight) against actual RS-232 weighbridge net weights to automatically flag discrepancies and prevent theft.
Protects agronomy investments by automatically halting fertilization work orders if the Cakrawala module predicts >25mm of rain in the next 48 hours.
Your workers are already labeling your data — they just don't know it.