Seal vs Ennov

1Ennov and Seal, side by side.

Ennov and Seal both put controlled documents, quality processes and training on one platform rather than three. They unify different things. Ennov’s unified compliance platform connects regulated content and data across regulatory affairs, quality, clinical, pharmacovigilance and commercial work, with Ennov Doc, Ennov Process and Ennov Training as its quality suite.¹² Seal is the GxP operating system for biopharma: teams configure the lab, manufacturing and quality workflows where the work runs, so a procedure revision can change the step it governs.

2What Ennov is built for.

Ennov is made for life sciences companies that want regulatory, quality and clinical content and processes from one vendor, on one data model. Ennov was founded in 1999 by Olivier Pâris, has offices in Paris, Raleigh, the UK, Belgium and Asia, and says it serves about 650 customers and more than 500,000 users.³⁴⁵ Ennov is certified to ISO/IEC 27001 and ISO 9001:2015 for its software development and operations.⁵

All Ennov applications run on a common platform of document, data, workflow, analytics and AI components, so they are natively connected without integrations between them and share one configurable data model. Ennov says the platform is 21 CFR Part 11 compliant, fully web-based and open to other enterprise applications through a REST API.¹ Ennov offers its software in a dedicated private cloud with its partners Microsoft and OVH, and says this reduces computer system validation costs for IQ and OQ.⁶

Ennov Quality ships a Core Model: a predefined inventory of quality documents, processes and workflows based on accepted industry standards, so customers can start from it.² Within it:

• Ennov Doc, also called Ennov Quality Documents, is preconfigured to the DIA GMP Reference Model, with document change requests, periodic review, integrated change control, revision management, controlled printing and electronic signature manifestation. Administrators configure it without IT skills, and it connects to Microsoft Office 365 and Google Drive for authoring.⁷²
• Ennov Process covers deviations, out-of-specification results, complaints, change controls, impact assessments and CAPAs, along with audits and supplier qualification.²⁸
• Ennov Training supports classroom, on-the-job, multiple-choice and read-and-understood training, with role-based curricula and qualification tracking.⁹

Ennov 11.0, released in December 2025, brought AI into the platform as an optional licensed module: a chatbot that answers questions about documents and records, such as finding related CAPAs or the latest SOP version, quiz generation from SOPs for Ennov Training, eCTD classification and case-narrative summaries.¹⁰

3How a document change reaches training and the work.

Both products connect a document revision to the training it requires. Ennov connects them inside its quality suite; Seal also connects them to the step the procedure governs and the copies at the point of use.

In Ennov, document change requests, review and approval run in Ennov Doc with integrated change control, and Ennov Process carries change controls and impact assessments.²⁷⁸ Ennov Training is integrated with Ennov Quality Documents and can trigger eLearning workflows automatically when a document is versioned, with progress tracked by department and against the training plan.⁹

In Seal, the revision is implemented as well as approved. Consider the example in Seal’s document control blueprint. Procedure-017 version 3.2 was approved three weeks ago and changed the window for adding Excipient B from 45°C to 42°C on the basis of process data, but the laminated copy of version 3.1 in the clean room still says 45°C. In Seal, change request DCR-000842 records the temperature-window change with its process, validation, training, form-template, stock and effective-date impacts. Implementation record IMPL-PROC-017-R3.2 then holds the evidence that the revision reached the work: required training complete, the electronic instruction live, templates updated, and 14 of 14 controlled copies reconciled. Only then does version 3.2 become the instruction in force.

Approval and effectiveness are separate gates. If implementation is delayed, the approved version waits with its reason recorded instead of appearing effective early, and where a workflow carries a training prerequisite, a person without the current qualification cannot complete the step that depends on it.

4One platform, two different spans.

Ennov and Seal are both single platforms, but they span different parts of a life sciences company.

Ennov’s platform spans the life sciences R&D continuum. Its applications share one data model and need no integrations between them, so quality documents and events sit alongside regulatory information management, dossier publishing, pharmacovigilance, clinical data and trial master files. Ennov says its AI is embedded in workflows across regulatory, quality and pharmacovigilance.¹⁵⁷¹¹ A quality document can therefore sit beside the regulatory dossier it supports without an interface between them.

Seal spans the operational work: laboratory, manufacturing and quality workflows on a shared ontology, in which a sample belongs to a batch, a result comes from a test and an investigation links to the affected work. An out-of-specification investigation links back to the sample, method, instrument file and specification behind the result, and a corrective action can be released as a change to the workflow, measured on the runs that follow.

5Where Ennov is the better fit.

Ennov is the better fit when quality documents and processes should sit with regulatory and clinical content from one vendor.

• You want quality, regulatory affairs, eCTD publishing, pharmacovigilance and clinical on one platform and data model.¹⁵
• You want a document library preconfigured to the DIA GMP Reference Model, with controlled printing and periodic review ready to adapt.⁷
• Your teams author in Microsoft Office 365 or Google Drive and want that connected to controlled documents.⁷
• You want a dedicated private cloud deployment, run with Microsoft and OVH.⁶
• You want AI to generate training quizzes from SOPs and answer questions across documents and records.¹⁰

6Where Seal is the better fit.

Seal is the better fit when a procedure revision should change how the next run is done, in the lab or on the line.

• You want laboratory, manufacturing and quality execution on the same records as the procedures that govern them.
• You want a new step to become a check in the workflow, and completed forms to keep the version they were completed on.
• You want the effective date tied to implementation evidence: training, configuration, form deployment and controlled-copy reconciliation.
• You expect to keep improving processes. Each improvement becomes a new process version with its specifications, test evidence and approvals, and earlier runs keep the version they used.
• You want Neil to prepare the change. Neil drafts the revision from the source procedure, finds the forms, training and records it affects, and prepares the configured change with its verification. Your team reviews and approves. In line with the EU’s draft GMP Annex 22 on AI, Neil is not used in GMP execution. It helps set up configuration, which your team verifies and releases under change control.

7Running Seal alongside Ennov.

Ennov can stay the document and regulatory platform while one procedure family runs in Seal. Seal has no dedicated Ennov connector. Where a system is not on Seal’s integrations list, Seal’s REST API and Scripts can connect it: the API reads and writes records from another system, and Scripts are versioned Python that can call an external service after an event or on a schedule, edited in a changeset, tested and published like other Seal records. Ennov’s platform offers a REST API on its side.¹

Agree the records, the direction of transfer, the credentials and the failure handling before implementation, and name which system is the source of truth for each record. Start with read access, and treat any write to Ennov as a separate decision with defined actions, review gates and audit evidence. Qualify the connection by defining identifiers and mappings, testing missing and duplicate records, and reconciling against the source, as the regulatory guide describes.

8Moving from Ennov to Seal.

Start with one procedure family and its forms.

1. Choose a procedure whose revisions need to reach the point of use, such as a manufacturing instruction with a controlled copy on the floor and a form that records the result.
2. Bring an existing revision and map it to the roles it affects. Start with sample material, or arrange an NDA before sharing confidential records.
3. Neil drafts the configured workflow, and your team checks it against how the work runs. The 48-hour evaluation turns one procedure into a working workflow with a validation pack to inspect. Production timing then depends on scope, interfaces, migration and your release requirements.
4. Follow the revision through approval, training and effectiveness, including the controlled-copy reconciliation, before extending the workflow.
5. For migration, inventory the source population, map document types and owners, preserve available versions and approval evidence, and reconcile imported records. Regulatory content can stay in Ennov, retrievable for its retention period.

The document management blueprint and training blueprint show how procedures, forms and qualification connect.