L7|INTELLIGENCE®
Contextualized data is the new gold.
In a world where data is often called the new gold, many organizations are finding that raw data alone doesn’t guarantee success… and they are right. Without proper context, data remains underutilized—trapped in silos and failing to generate actionable insights. The life sciences industry needs a solution that makes data accessible, contextualized, and AI-ready. That’s the new gold we’re talking about.
Meet L7|INTELLIGENCE.
L7|INTELLIGENCE is a strategic solution designed to bring your data to life. By eliminating silos and making complex scientific and operational data easily accessible, it empowers faster, smarter decisions across R&D, Manufacturing, Quality Control, Supply Chain, and Diagnostics. L7|INTELLIGENCE is more than just a data tool—it’s a critical enabler of advanced analytics and AI, turning data into a competitive advantage.
Key features of L7|INTELLIGENCE.
Self-service access to contextualized data models
Simplifies how users interact with Star Schema data models, significantly reducing complexity and costs compared to traditional ETL processes.
AI-actionable data
Converts contextualized data into easily queryable, AI-ready formats, enabling advanced analytics and unlocking the potential of Large Language Models (LLMs).
Real-time operational insights
Leverages real-time data for reporting and visualization with tools like Tableau, Power BI, and Spotfire, ensuring insights are available when you need them.
Flexible integration
Integrates seamlessly with external data lakes and warehouses like Snowflake, offering scalability and comprehensive solution.
Compliance-driven data preparation
Features built-in reference models to ensure all data is ready for FDA submissions and other regulatory needs, streamlining the compliance process.
L7|INTELLIGENCE's capabilities.
- Reduced Time-to-Value (TTV): Contextualized data is ready for immediate analysis, speeding up insights, enhancing decision-making, and reducing time to market.
- Cost Efficiency: Automates manual data processes and streamlines workflows, optimizing resource allocation and cutting operational costs.
- Enhanced Product Quality and Compliance: Integrates operational data with quality management systems to maintain product consistency while meeting regulatory standards efficiently.
- Accelerated Regulatory Submissions: Automates regulatory documentation processes, simplifying FDA submissions and accelerating compliance timeframes.
L7|INTELLIGENCE within L7|ESP.
L7|INTELLIGENCE is part of the L7|ESP® platform, where process orchestration and data contextualization drive digital transformation and turn your data into a competitive advantage.
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|INTELLIGENCE and L7|ESP can transform your operations.
L7|INTELLIGENCE® Datasheet
L7|INTELLIGENCE® is the data intelligence and business intelligence framework within L7|ESP®. It makes contextualized scientific and operational data accessible for reporting, visualization, analytics, and AI across research, development, manufacturing, quality, supply chain, and diagnostics. The datasheet outlines how L7|INTELLIGENCE processes L7|ESP data for analysis through Intelligent Table Definitions, read-only data access, ELT processes, and domain-specific…
DownloadL7|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…
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.
ReadOrchestrating 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…
DownloadActive 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.
Download