We design and implement automated data capture and processing systems for agricultural operations—connecting scales, scanners, instruments, sensors, and modern farm machinery directly to databases, dashboards, and operational systems.
Agricultural and ag-adjacent businesses generate large volumes of operational data from physical sources across daily workflows. When this data is captured manually or stored in disconnected systems, it introduces delay, error, and limited visibility.
We specialize in automating the capture, validation, and storage of agricultural data. Our systems are designed for production environments and integrate cleanly with internal databases, reporting tools, and operational workflows.
Automatically capture weight data from agricultural and industrial scales. Readings are recorded at the source and transmitted directly into structured data stores without manual transcription.
Integrate barcode scanners and identification devices into automated workflows. Scanner data is validated, timestamped, and linked to operational records in real time.
Capture measurements from laboratory instruments and field devices used for quality control, testing, and monitoring. Data is normalized and stored automatically for downstream use.
Integrate environmental and process sensors to capture temperature, humidity, flow, pressure, and other signals automatically. Designed for continuous, reliable operation.
Securely read operational and machine data using manufacturer-provided APIs, including integration with John Deere APIs and the John Deere Operations Center. Data is transformed for direct operational use.
Develop embedded firmware to enable reliable data acquisition, buffering, and communication at the device level. Firmware is scoped specifically to data capture and integration, without interfering with safety-critical machine control.