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Trazabeef — An event-level cattle chain-of-custody graph built inside meat plants: every RFID/QR/vision read, every transformation step (reception → rest → hook → side → quarter → debone → box → pallet), plus upstream breeding and feedlot records (birth, weaning, weight, average daily gain, estimated slaughter date, official RENSPA holding of origin) and downstream electronic transit documents. The byproduct is a linked individual-animal-to-retail-cut mapping with timing, yield and exception data — the kind of graph that cannot be reconstructed from public records.. Micro-scale vendor, unique…
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An event-level cattle chain-of-custody graph built inside meat plants: every RFID/QR/vision read, every transformation step (reception → rest → hook → side → quarter → debone → box → pallet), plus upstream breeding and feedlot records (birth, weaning, weight, average daily gain, estimated slaughter date, official RENSPA holding of origin) and downstream electronic transit documents. The byproduct is a linked individual-animal-to-retail-cut mapping with timing, yield and exception data — the kind of graph that cannot be reconstructed from public records.
From 3 yearsCoverage Consumer Staples · Information TechnologyAsset class Equities · Commodities
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Trazabeef — An event-level cattle chain-of-custody graph built inside meat plants: every RFID/QR/vision read, every transformation step (reception → rest → hook → side → quarter → debone → box → pallet), plus upstream breeding and feedlot records (birth, weaning, weight, average daily gain, estimated slaughter date, official RENSPA holding of origin) and downstream electronic transit documents. The byproduct is a linked individual-animal-to-retail-cut mapping with timing, yield and exception data — the kind of graph that cannot be reconstructed from public records.. Micro-scale vendor, unique…
Trazabeef offers (Alternative, Supply Chain, Reference) — Order of ~250K traced carcass-transformations per plant-year (312 carcasses/shift shown as the operating pace × ~2 shifts × ~400 operating days, multiplied by 5-8 recorded transformation events per carcass). Actual deployed volume bounded by the single-plant pilot..
Training individual-animal re-identification and carcass-part matching models, livestock computer-vision pose/quality grading models (if vision capture is enabled), recall-trace and supply-graph graph-neural models, slaughter-yield and process-throughput optimization, growth-to-slaughter prediction validated on realized outcomes, food-fraud and origin-mislabelling detection, and consumer QR-scan demand response modelling.
The data is with 3 years of history.
Coverage spans US, Other; Agricultural Products & Services, Application Software; alternative, supply_chain, reference; equities, commodities.
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