Cold-chain excursions are reviewed only on quarterly reports
Avg 6-12 days from excursion to investigation
Real-time MKT (Mean Kinetic Temperature) clock per lot; auto-alert on threshold breach
AssayCore Tracker is a universal sample tracking solution for laboratories that need robust sample management without full LIMS complexity. The platform provides barcode generation and scanning, real-time location tracking, chain of custody documentation, and basic workflow states. Perfect for sample receiving, biobanks, specimen repositories, and labs transitioning from paper-based systems. Can operate standalone or integrate with existing LIMS as a front-end module.
Compliance & Standards
Complete feature set covering every stage of your laboratory workflow.
Concrete laboratory pain — quantified — and how AssayCore Tracker addresses each.
Real-time MKT (Mean Kinetic Temperature) clock per lot; auto-alert on threshold breach
E-signature transfer workflow with full audit trail per ALCOA+ principles
Hierarchical storage map (building → freezer → rack → box → position) with capacity bars
IATA DGR document generator with UN-number lookup and shipper declaration PDF
One-click recall: traverses parent-child sample graph, marks downstream aliquots, e-signed log
Native PWA mobile scanner with offline queue + Zebra Bluetooth printer support
Bundled CPU-only inference. Open datasets, transparent metrics, lab-tunable thresholds.
| Model | Task | Dataset | Metric | Latency | Status |
|---|---|---|---|---|---|
| tracker.excursion_predictor | Predict cold-chain excursions from BLE logger trends | Synthetic logger time-series (50K excursions) | AUC 0.92 at 30-min lead time | 10 ms (CPU) | Production |
| tracker.mkt_calculator | Calculate Mean Kinetic Temperature per lot | USP <1079> reference + internal logger archive | MAE 0.15 °C vs reference | 5 ms (CPU) | Production |
| tracker.shelf_life_predictor | Predict residual shelf life from MKT history | Arrhenius reference + internal stability runs | R² 0.86 | 12 ms (CPU) | Production |
| tracker.location_anomaly | Detect samples with anomalous location-history | Internal location-event log (synthetic 60K samples) | F1 0.84 | 15 ms (CPU) | Production |
| tracker.iata_classifier | Classify sample into IATA DGR class from metadata | IATA DGR reference + UN list | Accuracy 0.93 | 8 ms (CPU) | Planned |
Calculations that actually run in AssayCore Tracker — every formula links to its source standard.
MKT = (ΔH/R) / ln( Σ exp(−ΔH/(R × T_i)) / n )USP <1079>; ICH Q1A(R2)
k₂ / k₁ = exp(Ea / R × (1/T₁ − 1/T₂))ICH Q1E; USP <1150>
T_excursion = Σ duration_i where T_i ∉ [T_min, T_max]WHO TRS 961 Annex 9
U% = occupied_positions / total_positions × 100ISBER Best Practices §C.3
complete = (all child UUIDs reachable from parent in event graph)ALCOA+; 21 CFR Part 11 §11.10(e)
%dev = duration_outside / total_logged × 100USP <1079>; EU GDP
Honest side-by-side. Where competitors lead we say so; where we lead, we show how.
| Competitor | Their offer | AssayCore Tracker |
|---|---|---|
| Quartzy | Inventory + ordering, no chain-of-custody, no 21 CFR Part 11 | Full CoC with e-signature + 21 CFR Part 11 audit trail |
| Benchling | Strong R&D platform; biobank module is paid add-on, no IATA DGR generator | Biobank + IATA DGR shipper-declaration generator included |
| Labguru | ELN-first; storage hierarchy limited to 3 levels | 5-level storage hierarchy (building > freezer > rack > box > position) with capacity bars |
| FreezerWorks (Dataworks Development) | Powerful but desktop-Windows; weak mobile scanning | Native PWA mobile scanner, offline queue, Bluetooth Zebra printer support |
| BSI Nautilus / FreezerPro | $50-150K + per-seat fees; MKT calc requires plug-in | $9.9-19.9K starter, MKT + Arrhenius shelf-life predictor included |
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