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FlaskTrack user documentation

FlaskTrack is a laboratory operations platform for planning and executing scientific work while keeping protocols, workflows, samples, batches, inventory, files, reviews, and compliance evidence connected.

FlaskTrack home page showing the main laboratory navigation and current work
The FlaskTrack home page provides a starting point for daily laboratory work and organization-wide features.

This documentation describes the production user experience as reviewed on September 1, 2026. The controls available to you depend on your role, organization configuration, subscription, and deployment.

  • Start using FlaskTrack

    Configure your account, review starter content, and create your first controlled workflow.

    Open the getting-started guide

  • Run laboratory work

    Execute protocols through batches and samples, capture structured data, and maintain traceability.

    Learn the execution model

  • Manage inventory

    Connect catalog items, suppliers, purchases, lots, locations, and protocol consumption.

    Open the inventory guide

  • Operate controlled processes

    Configure reviews, audit records, electronic signatures, policy evaluation, and validation evidence.

    Open the compliance guide

  • Use the Digital Lab Assistant

    Ask questions, resolve laboratory records, and prepare reviewed multi-step FlaskTrack action plans.

    Open the AI assistant guide

  • Connect external systems

    Integrate APIs, external AI agents, automation clients, and laboratory systems with organization-scoped access.

    Open the automation guide

Core operating model

Concept Purpose
Protocol A versioned procedure containing ordered steps, requirements, timing, forms, and execution controls.
Workflow A versioned sequence of protocols that defines a larger laboratory process.
Batch A scheduled execution of a workflow for a group of samples or a shared operation.
Sample An individually tracked biological or experimental entity with its own history and execution state.
Catalog item A reusable definition such as a species, ingredient, tool, or plasmid.
Inventory lot A physical quantity of a catalog item at a location, with receipt, adjustment, and consumption history.
  1. Complete first-login setup.
  2. Understand roles and permissions.
  3. Review or create catalog records.
  4. Create a protocol and its steps.
  5. Create a workflow.
  6. Create and execute a batch.
  7. Configure inventory and procurement.
  8. Configure compliance controls.
  9. Learn the Digital Lab Assistant and external automation options.

Important operating principles

  • Draft or AI-assisted content must be reviewed before production use.
  • Protocol and workflow versions preserve the procedure used for historical executions.
  • Electronic signatures confirm a specific action and record; they are not a substitute for organizational validation or policy.
  • AI output is assistive. Authorized users remain responsible for scientific, operational, and compliance decisions.
  • AI action plans are reviewed before execution and remain subject to normal FlaskTrack permissions and controls.
  • The audit trail supports reconstruction and tamper detection; it does not by itself make an organization compliant with a regulation.