Platform capability · workflow execution · sample traceability
Protocols, Workflows, Batches & Samples
Execution-aware workflow management for biological teams running
repeatable protocols, scheduled work, batches, samples, and operational records.
Turn SOPs, methods, and research procedures into structured workflows your team
can schedule, execute, review, audit, and improve over time.
Turn protocols into operational execution
Flask Track helps labs move beyond static procedures and spreadsheet trackers.
Protocols become scheduled step runs, workflow history, sample events,
batch records, compliance context, and audit-ready operational evidence.
📋
Structured Protocols
Define steps, timing windows, rest periods, required data capture,
materials, tools, environmental notes, and expected outcomes.
🔁
Composable Workflows
Combine protocols into ordered workflows that reflect
real biological processes across multiple execution stages.
🧫
Batches & Samples
Track batch-level execution, individual sample state,
lineage, outcomes, notes, files, and operational events.
⏱️
Scheduled Step Runs
Monitor upcoming, due, overdue, blocked, completed,
and failed work across batch and sample execution.
📎
Files, Notes & Measurements
Link execution records to files, structured data,
observations, measurements, materials, tools, and decisions.
🧾
Audit-Ready History
Preserve who performed work, when it happened,
what changed, and which records were affected.
Designed for hands-on lab execution
✅
Structured Step Completion
Require data forms, notes, measurements, files,
and event details when critical workflow steps are completed.
🚦
Operational State Tracking
Follow samples and batches through active, completed,
failed, contaminated, archived, and custom operational states.
🔔
Execution Timing Awareness
Use scheduled offsets, timing windows, rest periods,
due work, overdue work, and alert windows to coordinate execution.
📱
QR-Ready Bench Workflows
Use QR codes to open records, identify samples,
and advance workflow steps from logged-in bench devices.
Connected to the rest of your operation
🧬
Catalog-Linked Execution
Connect workflows to species, strains, plasmids,
ingredients, tools, suppliers, concentrations, units, and files.
🛡️
Compliance Context
Derive compliance context from the materials, entities,
protocols, samples, and actions involved in execution.
📊
Reports & Exports
Feed dashboards, SQL exploration, CSV exports,
compliance packets, data lake records, and external analysis.
⛓️
Audit Integrity
Preserve user and API actions with tamper-evident,
hash-linked operational audit history.
AI-assisted workflow import
Flask Track can help reduce manual data entry by extracting useful workflow structure and components
from uploaded research papers, methods, SOPs, and technical documents.
Generated records remain reviewable drafts for scientific validation.
📄
Research Paper Import
Upload external papers and methods so AI can identify
protocols, steps, materials, timing, and execution structure.
🧪
Draft Protocol Generation
Generate draft workflows, protocols, protocol steps,
ingredients, tools, concentrations, units, and metadata.
👁️
Human Review Required
Keep AI assistance transparent by reviewing, correcting,
and approving records before operational use.
Built for specialized biological workflows
- ✔ Plant tissue culture, propagation, rooting, acclimation, and contamination workflows
- ✔ Agrobacterium transformation, plasmid, strain, and selection workflows
- ✔ Mycology, fungal culture, spawn, substrate, and fruiting operations
- ✔ Synthetic biology, genetic engineering, and experimental production workflows
- ✔ Batch execution, sample lineage, state transitions, files, measurements, and notes
- ✔ Workflow history that feeds compliance, audit trails, reporting, dashboards, and exports
Replace static SOPs with living operational records
Flask Track turns procedures into execution systems. Teams can reuse methods,
coordinate bench work, preserve sample history, monitor progress, generate reports,
and maintain audit-ready evidence without rebuilding records after the fact.