L7|SYNAPSE™
The execution gap in modern life sciences.
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|SYNAPSE.
L7|SYNAPSE is the agentic layer built directly into the L7|ESP platform. Users can ask questions, build workflows, retrieve data, navigate apps, and generate summaries, without needing to understand underlying data structures, APIs, or configuration patterns.
Before querying any large language model, L7|SYNAPSE retrieves the most relevant information from your private, organization-specific knowledge base (SOPs, protocols, batch records) and from governed platform data. Responses include citations so users can verify the source and accelerate review.
Where enabled, L7|SYNAPSE can initiate and execute workflows, helping teams move from questions to action within the same controlled environment where work is performed.
It also supports typed and spoken queries, practical in environments where hands-free interaction is required, such as the lab bench or manufacturing floor.
L7|SYNAPSE has everything you need to make AI actionable in regulated life sciences.
L7|SYNAPSE’s core capabilities for the operational realities of life sciences:
Knowledge grounding (RAG/GRAPHRAG)
Retrieves source material from your private knowledge base before invoking any LLM, grounding responses in your organization’s documentation rather than generic training data.
Example use: Answer a deviation question using ingested SOPs, with citations included for QA review.
Natural-language platform actions
Supports natural-language navigation, data retrieval, artifact generation, and, where enabled, workflow initiation directly within L7|ESP, typed or spoken.
Example use: Open a batch record in context, or generate a protocol draft from an SOP description.
Cross-app queries and joins
Queries across L7|ESP apps (L7 LIMS, L7 Notebooks, L7 MES, etc…) and combines related entities in a single request, without requiring SQL or system architecture knowledge.
Example use: Join inventory usage with protocol values; pull scheduling status with batch context in one query.
Permission-aware responses
Operates within L7|ESP’s existing user permission framework. The same query returns automatically different results for an operator, a QA reviewer, and an administrator.
Example use: Confidential batch data visible to QA is not surfaced in a technician’s query response.
Artifact generation
Generates L7|ESP artifacts from natural language or existing documentation, including workflows, protocols, expressions, queries, reports, and widgets.
Example use: Create an expression, generate a widget from queried data, or produce a report draft from an MBR.
Summaries and reports
Produces plain-language summaries and structured outputs from records and queried data, supporting faster review and decision-making across the organization.
Example use: Summarize run histories; generate an ad-hoc report; draft a certificate of analysis where applicable.
Knowledge ingestion
Administrators can add or update internal documentation, SOPs, and platform guides to continuously improve the relevance and accuracy of L7|SYNAPSE responses over time.
Example use: Push a revised SOP version; responses align automatically with the current approved procedure.
Semantic retrieval
Finds relevant information by meaning and intent (not just keyword matching), making it practical for scientists who don’t know the exact terminology used in a document.
Example use: Find the SOP section for a specific step; locate related records from a plain-language description.
L7|SYNAPSE is built for the roles that drive life sciences operations.
L7|SYNAPSE meets each team where they are, with responses grounded in their scope, their data, and their permissions.
Laboratory scientists
Access protocol status, experimental results, and instrument records using typed or spoken queries, without leaving the bench or navigating complex system menus.
Quality assurance managers
Accelerate review of deviations, investigations, and historical records. Cited responses reference approved documentation, reducing time spent locating supporting evidence.
Operation executives
Retrieve high-level summaries of throughput, resource utilization, and process performance from governed operational data, on demand, in plain language.
Data scientists
Access data retrieval, cross-module queries, and operational task configuration through a conversational interface. No SQL, no system architecture expertise required.
IT & system admins
Streamline user support and system navigation. Ingest and update internal documentation to keep the knowledge base current and reduce routine support escalations.
Regulatory affairs teams
Compile cited information faster from approved documentation and governed L7|ESP data records, with source verification built into every response.
Clinical manufacturing leaders
Real-time visibility into batch execution, deviations, and release readiness, grounded in structured, ontology-driven data, to ensure compliant, efficient scale-up from development to commercial production in an AI-driven CMC landscape.
Commercial manufacturing leaders
AI-powered insight into manufacturing performance, supply reliability, and release readiness, grounded in governed, ontology-driven data to optimize and scale compliant commercial production across global networks.
Resources.
Dive deeper and see how L7|SYNAPSE and L7|ESP can transform your operations.
L7|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…
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