Overview

L7|ESP is a unified enterprise science platform purpose-built for life sciences that centralizes experimental, QC and manufacturing data, orchestrates workflows, and provides pre-configured apps and equipment connectors to make cell- and gene-therapy development and manufacturing audit-ready, reproducible, and AI-ready. The platform supports recipe-driven manufacturing, technology transfer, instrument and automation integration, and end-to-end traceability to accelerate scale-up from early clinical to commercial production.

Features and Capabilities

• Platform & Architecture: A unified, configurable data model and orchestration layer that replaces fragmented point systems and provides a single source of truth. Capabilities include mapping processes, standardizing metadata, and enabling AI/analytics on harmonized data.
• Manufacturing Execution (MES): Supports recipe-driven cell-therapy manufacturing, batch execution, operator steps, material and container tracking, and audit trails to ensure compliance across clinical and commercial runs. Manages tech transfers and diverse production workflows.
• Instrument & Automation Integration: Provides out-of-the-box connectors for lab instruments, automation modules, and manufacturing equipment to capture contextual metadata (instruments, reagents, operators) at the source, reducing manual transcription.
• Quality & Traceability: Offers built-in audit-ready traceability, configurable QC workflows, electronic batch records, and material lineage tracking to meet GMP and regulated-lab requirements.
• Pre-configured Packages: Includes industry vertical packages (cell therapy / advanced therapies) with pre-built process templates, methods, and data models to accelerate deployment and reduce configuration time.
• Workflow Orchestration & Collaboration: Enables role-based orchestration of tasks across research, QC, and manufacturing teams; supports scheduling, resource planning, and handoffs to minimize errors and speed transfers.
• Data & Analytics Foundation: Harmonizes research, QC, and manufacturing data into a FAIR, AI-ready foundation enabling downstream analytics, KPI dashboards, and ML-driven insights.
• Deployment & Ecosystem: Cloud-capable and designed to integrate with third-party enterprise systems (ERPs, clinical systems) and scale from CDMOs to large manufacturers.