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Good infrastructure removes friction. The right readers, scales, and integrations mean every animal moving through the crush contributes accurate data automatically — and every process from AI to drenching runs more smoothly.
Panel readers automatically identify animals as they move through the crush, ensuring that every weight reading, treatment record, and data entry is attributed to the correct animal. Combining reader types extends this capability across the whole yards.
- Panel readers at the crush automatically link incoming animals to their full record
- Stick readers up the race combined with a panel reader at the crush make processes like AI run seamlessly — animals are identified before they arrive, saving time and reducing stress on animals and handlers
- No manual ID entry means no mismatched records and no data attributed to the wrong animal
Sapien integrates with weigh scales and auto-drafters to turn weight and other data points into automated draft decisions. No mental arithmetic under pressure, no sorting errors.
- Set up draft rules based on any combination of weight, condition, age, sex, and other data — Sapien executes them automatically via the auto-drafter
- No auto-drafter? Audible cues from the system allow the same logic to drive a manual draft
- Weight integration also drives the auto drench gun — each animal receives the correct dose based on live weight, eliminating underdosing, overdosing, and wasted product
Beyond the crush, Sapien supports the broader infrastructure of a data-driven operation — from TSU sampling in the yards to the connections that keep your records complete and accurate.
- Barcode reader integration for TSU sampling — every sample matched to the correct animal without manual data entry
- Infrastructure that feeds data into Sapien means more of your operation is visible, monitorable, and manageable from wherever you are
Quality of data is the priority. If it is not accurate there is no use for it and no point in collecting it. Working with Sapien has been about getting our data integrity right.