QC LIMS

Seal QC LIMS is a laboratory information management system designed for quality control labs in life sciences manufacturing. It targets the gap between analytical chemistry time and administrative overhead, aiming to reduce batch release cycles from weeks to days by removing manual transcription, automating specification checks, and connecting QC data directly to manufacturing and quality systems.

The platform is built for executing validated methods and releasing batches in regulated environments. It integrates with MES, QMS, and ELN systems on a shared platform, so batch status, quality events, and test results move between systems without manual data entry. An AI assistant called Neil supports configuration by extracting specifications and method parameters from existing regulatory documents such as CTD modules, validation reports, and approved specifications.

Sample-to-Release Workflow

• When a sample arrives, specifications are automatically assigned based on material and product.
• Testing queues are ordered by manufacturing priority, so urgent batches move first.
• Results are checked against specifications automatically the moment they enter the system.
• Reviewers see all relevant context in a single view without compiling data from separate sources.
• On release approval, disposition flows to MES and inventory without manual data copying.
• Every transition is treated as a system event rather than a human handoff.

Specification Management and Automatic Checking

• Specifications are stored as structured data with full version history, not as static PDFs or binders.
• The system tracks which specification version applied to each batch, providing traceability without manual document review.
• Results are checked against specifications instantly upon entry; out-of-specification results are flagged immediately and cannot be approved without investigation.
• When a specification changes, the system records which version was in effect for each batch.

OOS Investigation

• When an out-of-specification result is recorded, an investigation opens automatically with context already populated.
• Pre-populated context includes: sample and batch identifiers, method version, instrument used and its calibration status, standards used, analyst name and qualification status, sequence neighbors, and system suitability results.
• Investigators can begin analysis immediately rather than spending time assembling documentation.
• Phase 1, Phase 2, and retest tracking are supported, along with root cause categories for trending across investigations.

Direct Instrument Integration

• Seal connects directly to instruments from Agilent, Waters, Thermo Fisher, and other major vendors.
• Raw data flows from the instrument into the LIMS with no transcription steps, eliminating the traditional path through printed reports, notebooks, and spreadsheets.
• For instruments without native integration, standard data formats and custom parsers are used to achieve the same direct data flow.
• The number recorded in the batch record is the number generated by the instrument, with a complete audit trail connecting them.

Incoming Inspection and Environmental Monitoring

• Incoming raw material testing is managed as a structured workflow, with materials queued based on manufacturing need.
• Supplier certificate of analysis data is compared against lab results, and disposition flows to inventory automatically when testing completes.
• Environmental monitoring tracks not only excursions but also drift — results trending upward while still within limits — so corrective action can be taken before a formal excursion occurs.
• Facility map visualization is available for environmental monitoring data.

Stability Management

• Seal manages the full stability lifecycle: protocol definition, automated pull schedule generation, chamber condition monitoring, and result entry using the same instrument integration as release testing.
• As timepoints accumulate, the system calculates degradation rates and projects future shelf life trajectory.
• Potential shelf life problems can be identified at early timepoints rather than discovered late in the study when reformulation would require restarting the clock.

Statistical Trending and OOT Detection

• Control limits are calculated from historical data; results outside normal variation but within specification are flagged as out-of-trend.
• Three consecutive results trending in one direction trigger alerts.
• Trending is applied across batches, identifying patterns that individual analysts reviewing single results would not detect.

Method Lifecycle from ELN to QC

• Methods developed in the ELN can be transferred to the LIMS, retaining the same parameters and calculations but adding enforced specifications and required system suitability checks.
• Once a method is locked in the LIMS, analysts cannot change critical parameters during execution.
• When an OOS occurs, the method version and parameters are structurally linked to the validation record, providing automatic evidence that the validated method was followed.

AI-Assisted Configuration with Neil

• Neil, Seal's AI assistant, accepts CTD modules, approved specifications, and validation reports and extracts test names, acceptance criteria, method parameters, and sampling requirements into structured data.
• Users review and correct Neil's extractions, then approve through change control rather than performing manual data entry.
• Neil can generate method structures with parameters and calculations drawn from validation reports when given a description of the method needed.
• During operations, Neil flags results that are within specification but statistically anomalous relative to historical runs, and suggests likely root causes for OOS investigations based on patterns from similar past events.
• New products can be onboarded from CMC documentation in days rather than months once the initial lab configuration is complete.

Platform Capabilities Summary

• Release testing workflows with enforced required tests and automatic batch disposition
• Automatic specification checking with immediate OOS flagging
• OOS investigation management with pre-populated context and root cause trending
• Direct instrument integration for HPLCs, plate readers, and balances
• Incoming inspection with supplier CoA comparison and auto-disposition
• Environmental monitoring with drift detection and facility map visualization
• Stability protocol management with predictive trending
• One-click Certificate of Analysis generation from existing batch and test data
• Native QMS integration: OOS results automatically open QMS investigations with full context
• Native MES integration: IPC samples flow from batch steps, results return to batch records, and disposition decisions update batch status

Seal is deployed as part of a unified platform that also includes MES and QMS, making connections between manufacturing, quality, and lab data native rather than requiring point-to-point integrations. The recommended implementation approach is incremental — starting with a single workflow, validating it alongside the existing system, and expanding workflow by workflow — rather than a full cutover. Standard integrations exist for major instrument vendors, with custom parsers available for instruments outside that set.