L7|HUB
Streamlining digitalization across the entire value chain.
In the fast-evolving digital world, managing the growing volume, complexity, and versions of scientific content is a significant challenge. This is particularly true when multiple teams work collaboratively on research studies, molecule development programs, assay development, or manufacturing processes. Effective collaboration and tech transfer across these globally diverse teams require efficient management of digitalized scientific protocols, version control, multi-step approval processes, and secure deployment.
Meet L7|HUB.
L7|HUB is designed to facilitate scientific protocol management, streamline collaborations, and accelerate the deployment of standard methods and protocols. As a key component of the Unified Platform L7|ESP®, L7|HUB serves as a no-code collaboration and deployment resource, providing a repository of robust, rich, and growing configurable scientific digital content. With its intuitive interface and streamlined digitalization process, L7|HUB reduces the time to achieve research, development, and manufacturing goals, enabling the FAIRification of scientific assets.
Key features of L7|HUB.
Ready-to-use protocols
A rich compendium of digital protocols and methods ready for immediate use.
- Centralizes and streamlines internal protocol and method sharing (e.g., SOPs).
- Provides access to a growing repertoire of configurable standard workflows by L7 Informatics.
Central repository
Organizes scientific methods, recipes, data models, instruments, and equipment pipelines in one place.
Comparison and approval tool
Supports scientific method and protocol comparisons and approvals prior to promotion into validation and production.
Benefits of using L7|HUB.
- Organized Scientific Methods: Store all methods in one, access-controlled location.
- Integrated Search and Filter: Discover relevant scientific protocols and methods easily.
- Informed Decisions: Compare scientific methods and protocols to select the best fit for your operations.
- Reduces the time to find the necessary protocols and methods.
- Collaborative Sharing: Effortlessly share protocols and methods across teams, departments, and the entire organization.
- User-Friendly Collaboration: Deploy digital protocols without requiring advanced technical skills.
- Efficient Tech Transfer: Empower scientists and lab managers to efficiently share and move data model definitions between L7|ESP servers, accelerating tech transfer and improving reusability of science.
L7|HUB within L7|ESP.
Key Components of the L7|ESP Platform
- L7|MASTER: A low code scientific data modeling and process design tool.
- L7|HUB: An application for findability, accessibility, interoperability, and reusability (FAIR) of digitalized experiments, scientific methods, manufacturing recipes, master data models, instrument, and equipment connectors.
- L7|ESP: The core execution engine that connects to instruments, equipment, and other software and data analysis tools to generate experimental results, batch manufacturing records, and certificates of analysis.
- L7|INTELLIGENCE: The business intelligence framework that extracts data collected during scientific process orchestration and provides key stakeholders with operational and scientific intelligence and reporting.
Resources.
Dive deeper and see how L7|ESP can transform your operations.
L7|ESP® Platform Brochure
L7|ESP® is the Agentic Operating System for Precision Science, bringing workflow orchestration, data contextualization, scientific applications, and system connectivity into one operating environment. It supports research, development, manufacturing, quality, and diagnostics while preserving the relationships among processes, materials, instruments, people, and results as work is executed. This brochure provides an overview of the L7|ESP architecture,…
DownloadL7|SYNAPSE™ Datasheet
L7|SYNAPSE™ is the agentic AI layer of L7|ESP®, connecting natural-language interaction with governed scientific data, approved documentation, user permissions, and workflow execution. Designed for regulated life sciences environments, it grounds responses in an organization’s own knowledge and operational context. This datasheet provides an introduction to L7|SYNAPSE and its capabilities for retrieving information across L7|ESP, generating…
DownloadL7|HUB® Datasheet
L7|HUB® is the scientific content management and deployment component of L7|ESP®. It provides an access-controlled environment for organizing, finding, comparing, approving, and sharing digital scientific protocols, methods, recipes, data models, and instrument or equipment pipelines across teams, sites, and organizations. The datasheet introduces how L7|HUB supports governed publication, protocol reuse, collaboration, and technology transfer between…
DownloadFixing AI’s Blind Spot: The Role of Knowledge Graphs in Life Sciences
AI without data context is just guesswork. Life sciences organizations are investing in AI, but fragmented, unstructured data is holding them back. In this POV from Vasu Rangadass, Ph.D., discover how knowledge graphs and unifying platforms create trust, accuracy, and AI-driven impact.
ReadThe Agentic Pivot: Why the “Safe Software Choice” Became the Risky One
For two decades, life sciences teams bought point solutions to fix local problems, quietly deepening the fragmentation that now stalls nearly every AI initiative. Vasu Rangadass argues for the agentic pivot: the shift from buying tools to running an operating system for science that takes operations from AI-ready to AI-actionable.
ReadAI Governance Starts Before Agents Can Act
Agentic AI is entering regulated pharma workflows faster than the foundations beneath it can support. Vasu Rangadass, CEO of L7 Informatics, explores why governance depends on context, lineage, and traceability existing before agents act, and how a unified operational foundation turns governance into a natural outcome of execution.
ReadActive Knowledge Graphs: Why AI in Regulated Life Sciences Stalls Without Them
Most enterprise AI stalls in regulated life sciences because it runs on passive, retrospective knowledge graphs. This white paper introduces the active knowledge graph, generated by L7|ESP® at the point of execution, and shows how a neuro-symbolic architecture makes AI accurate, auditable, and AI-actionable across research, development, and GxP manufacturing.
DownloadOrchestrating the 98%: Why the Operational Harness Will Define Pharma’s Agentic Era
Only 2 percent of a production-grade AI system is decision logic. The other 98 percent is operational infrastructure. In pharmaceutical manufacturing, that infrastructure carries the weight of GxP compliance, audit, and validation. In this white paper, Vasu Rangadass, Ph.D., President and CEO at L7 Informatics, makes the case that AI orchestration, not model sophistication, will…
Download