Skip to main contentExecution, not documentation
GxP today suffers from a fundamental, costly flaw: instructions, execution, and documentation are three separate things.
This separation creates profound risk. You can never be certain that what was done is what was documented—making failures inexplicable and successes irreproducible. Worse, your most valuable asset—the data—is left unstructured and unusable for AI or automation. In the age of AI, this is a death sentence.
With Seal, documentation becomes execution. Instructions, actions, and data converge into a single, AI-ready source of truth.
Governed evolution
Most GxP software is frozen by design. The cost and risk of changing a validated system are so high that your processes are perpetually locked in the past, unable to improve.
Seal is different by design. Built on isolated, version-controlled objects, it creates an inherently stable system where you can evolve your processes with absolute control, speed, and confidence. Each Type, Template, and Instance is independently versioned and validated, so changes to one component don’t affect others.
This enables a new model of innovation: teams closest to the process can propose improvements based on their direct experience, while central teams maintain robust governance through the Changeset—to the extent you want. The Changeset provides a unified approval workflow with configurable review requirements and approval chains. This enables continuous evolution without compromising compliance, which is critical for innovation.
Process, harmonized
The platform is not a rigid application; it is a set of composable primitives that you control. This allows you to build a unified, digital model of your entire operation, ensuring harmonized execution across your processes.
This is made possible by a simple, three-part hierarchy:
- Types are the version-controlled schemas that define the rules for your core entities—from “Work Instructions” to “Equipment”—and can contain rich logic like Python scripts or custom-coded applications.
- From these, you configure Templates, the version-controlled starting points for your core processes.
- Finally, every run of a Template creates a new, versioned Instance, resulting in an unbreakable, auditable record of every action taken.
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Critical data is trapped in silos, forcing teams to manually translate information between systems. This process is not just inefficient; it is a primary source of errors, delays, and compliance risk. It makes a true, end-to-end audit trail an impossibility and slows innovation to a crawl.
This fragmentation is why tech transfer takes months instead of weeks. It’s why every process improvement requires a monumental cross-system validation effort. The operational friction is so high that evolution becomes too costly, locking your most critical processes in the past.
Bringing every system onto the same platform, built with a common set of primitives provides a shared language for your entire operation, creating a unified digital thread where the friction of system handoffs is eliminated.
The foundation for automation and AI
All data in Seal is stored as structured, human-readable objects. This is not a minor architectural detail; it is the key to creating a true, AI-native data asset.
Because the data is clean, universally understandable, and tied to its execution from the moment of creation, it is machine-ready on day one. This allows you to begin automating your operations immediately—from routine report generation to parsing complex instrument data.
This is the foundation for a true digital twin of your operations. It’s how you begin the journey from manual trial and error to in-silico science. And it’s how you empower every operator, scientist, and engineer to build the future.
This changes everything. 
