MES

Seal is a Manufacturing Execution System (MES) designed for life sciences organizations that need to capture batch records as manufacturing runs, rather than reconstructing them from paper after the fact. It is built for biotechs in early clinical stages through commercial launch, CDMOs, and cell and gene therapy manufacturers running autologous processes — organizations whose manufacturing processes are still evolving and cannot afford a system that requires full revalidation for every change.

Seal treats the manufacturing process as structured data rather than a form to be filled out. Workflows are executable, compliance controls are enforced at the point of execution, and the platform is unified with LIMS, QMS, and ELN so that data does not move between disconnected systems. AI-configured workflows support per-patient batch variants and process changes without requiring a new validation package for each update.

Core Architecture and Process Evolution

• The platform is built on the assumption that manufacturing processes evolve continuously. CPP range updates based on new PPQ data can flow through change control in days rather than requiring full re-IQ/OQ/PQ cycles.
• A new manufacturing site can inherit the Platform Process and bind site-specific configuration. New product variants reuse existing unit operations rather than requiring a new validation package.
• Every change is explicit, tracked, and approved through change control, but the scope of validation is limited to the actual change rather than the entire system.
• For cell and gene therapy, the platform models per-patient batch variants, chain-of-custody from apheresis to infusion, and per-patient lot genealogy — capabilities that paper records and legacy mass-production MES systems cannot support.
• The platform scales from the first GMP batch through commercial launch without requiring replacement at Phase 3 or commercial scale-up.

Batch Record Execution and Compliance Enforcement

• Each step in a batch record defines its required inputs, outputs, equipment, and parameter ranges. Operators interact with the process itself rather than filling in blank fields.
• Parameters are captured directly from connected equipment; material lot numbers are scanned rather than written; calculations are performed automatically.
• Operators cannot proceed past a step if a value is out of specification, if materials are expired, or if a required verification has not been completed. Compliance is enforced at execution, not discovered during post-batch review.
• Review by exception means QA focuses on the deviations, overrides, and out-of-trend parameters that actually occurred during the batch, rather than reading through hundreds of pages to find transcription errors.
• Because deviations surface at the moment they occur, release date becomes predictable earlier in the process. Traditional review cycles of two to four weeks can be reduced to days, freeing working capital frozen in inventory and allowing CDMOs to release more batches within client campaign windows.

Equipment Integration and Material Verification

• Seal integrates directly with bioreactors, fillers, autoclaves, balances, and other manufacturing equipment to capture process data automatically — temperature profiles, pressure readings, weight measurements, and timing data — without manual transcription.
• All equipment-sourced data enters the batch record with complete traceability, enabling point-in-time queries such as exact temperature at a specific timestamp.
• At the point of material use, operators scan barcodes and the system performs five checks in real time: correct material identity, correct lot, released for GMP use, sufficient quantity, and expiry status. If any check fails, the operator cannot proceed.
• When materials pass verification, the lot number is captured in the batch record and inventory is decremented automatically, keeping the batch record and inventory system synchronized without a separate transaction or end-of-day reconciliation.
• Balances connect directly so weights are captured automatically, and the system calculates required amounts based on batch size and enforces tolerances.

Operator Qualification and Cleaning Verification

• Each step can require specific training curricula. When an operator scans their badge, the system checks their training record against all requirements for that step in real time. An unqualified operator cannot start the step.
• Training expiry is enforced continuously. An operator whose recertification lapsed at midnight cannot execute the affected steps the following day.
• The structural link between steps and required curricula allows training teams to identify which qualifications are actually required for which steps, which operators are approaching expiry, and who needs retraining scheduled before they are blocked from shift.
• Cleaning records link the equipment cleaned, the batch that dirtied it, and the batch that will use it next. Swab test results flow in from LIMS, and rinse water conductivity results are available before the next batch starts.
• Hold time calculations enforce validated cleaning hold times. Equipment cleaned beyond the validated window cannot be used to start a new batch without documented justification.
• Line clearance for product changeover follows a structured checklist that acts as a gate: the new product cannot start until every clearance item is complete.

In-Process Controls and Hold Time Enforcement

• Seal manages the sampling workflow alongside the manufacturing workflow. When a sample is required, the operator scans the sample container and the system creates a sample record in LIMS pre-populated with batch number, step number, timestamp, and operator ID, then pauses the batch.
• The batch cannot proceed to the next step until LIMS returns the result. If the result is within range, the batch proceeds automatically. If it is out of range, the system flags the exception and routes it to the defined escalation path.
• Because LIMS and MES share the same platform, the sample record is a single record rather than data transferred between integrated systems. There is no overnight sync and no manual handoff between QC and manufacturing.
• Hold times are enforced automatically based on process validation constraints. Warnings escalate as a hold time approaches, and the batch cannot proceed past the validated limit without documented justification and approval.
• Each hold time constraint is linked to the validation study or SOP that established it. When a constraint is reached, the system surfaces the rationale — including the study reference and the scientific basis — so operators and supervisors understand why the constraint exists before deciding whether to escalate.

Visibility, Genealogy, and Traceability

• Real-time dashboards show which step every batch is at, which rooms and equipment are occupied, and when they will become available.
• Complete batch genealogy is accessible from any finished product: every raw material lot, every piece of equipment, every operator, every environmental condition, and every QC test result.
• Forward traceability allows users to start from any raw material lot and identify every batch and finished product that used it.
• When a supplier issues a recall notice, affected batches can be identified within minutes. When a customer reports a quality issue, exact manufacturing conditions can be traced rather than approximated by date range.

Seal is deployed as a unified platform that includes MES, LIMS, QMS, and ELN functionality, eliminating the integration points between separate systems that are a common source of data integrity findings and deviation investigations in hybrid technology stacks.