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Package Analytical DevelopmentL7 Informatics

Composable, AI-ready platform package that unifies analytical development data, workflows and traceability.

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Product details

Overview

L7’s Analytical Development package is a pre-configured solution within the L7|ESP unified life-sciences platform that centralizes analytical methods, instrument data, and workflow orchestration to accelerate assay and QC development. It captures contextual metadata (instruments, reagents, personnel), enforces audit-ready traceability, integrates with lab automation and instruments, and prepares structured, FAIR data for downstream analytics and AI.

Features and Capabilities

  • Data Unification & Contextualization: The package stores analytical method definitions, raw and processed instrument data, and associated metadata in a single, searchable data model so results are linked to experiments, samples and reagents.
  • Audit-Ready Traceability: Full electronic capture of instrument events, reagent lot numbers, operator actions and versioned methods to support regulatory compliance and audit trails.
  • Workflow Orchestration & Automation: Orchestrates end-to-end analytical workflows — from sample intake through method execution to data review — and automates handoffs between apps (LIMS, ELN, MES) to reduce manual steps.
  • Instrument & Automation Integration: Prebuilt connectors and integration patterns enable capture of instrument output and laboratory automation systems directly into the platform database.
  • Method & Protocol Management: Manage and version analytical methods and protocols; enforce required steps and approvals, and ensure consistent method execution across labs and sites.
  • Data Quality & FAIR Principles: Organizes analytical datasets to be findable, accessible, interoperable and reusable (FAIR), improving downstream analytics and ML/AI readiness.
  • Collaboration & Multi-party Workflows: Supports secure collaboration across teams and external partners, enabling multi-party workflows while maintaining data governance and separation where required.
  • Analytics & Intelligence Ready: Structured, contextualized data is prepared for built-in analytics modules or external ML/AI workflows to accelerate method optimization and root-cause analysis.
  • Regulatory & Quality Support: Designed to simplify compliance workflows — version control, electronic signatures, and audit logs help with regulatory submissions and quality investigations.