CricketOps combines IoT environmental monitoring, computer vision health scoring, and AI yield prediction into a single platform purpose-built for commercial cricket, mealworm, and BSF operations.
From environmental sensors to AI-powered yield forecasts — one platform replaces spreadsheets, whiteboards, and guesswork.
Real-time IoT monitoring of temperature, humidity, CO₂, ammonia, and airflow across every zone. Automated alerts when parameters drift.
Track every bin from egg lay through pinhead, juvenile, adult, and harvest. Population estimates, mortality rates, and growth curves per cohort.
Computer vision + sensor fusion generates per-bin health scores. Detects stress patterns, disease indicators, and mortality spikes before they cascade.
PyTorch models trained on your historical data predict harvest weight, protein content, and optimal harvest timing with 89%+ accuracy.
Full farm-to-fork traceability. Every harvest batch links to source bins, feed lots, environmental conditions, and quality test results.
AI analyzes feed conversion ratios across species, stages, and feed types. Recommends optimal formulations to minimize cost and maximize protein yield.
Four steps from sensors to insights.
Plug in IoT gateways. We auto-discover temperature, humidity, CO₂, and ammonia sensors via MQTT.
Define zones, assign bins, set species and lifecycle stages. Import existing data via CSV.
Within 2 cycles, our models calibrate to your specific strains, feed, and conditions.
Get daily AI recommendations, predictive harvests, feed optimization, and full traceability reports.
Start with a 14-day free trial. No credit card required.
For small-scale farms and R&D operations
For commercial-scale insect protein operations
For multi-facility operations and integrators
Join the farms producing 40% more protein per square meter with CricketOps.
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