Seal vs Veeva Vault QMS

1Veeva Vault QMS and Seal, side by side.

Veeva QMS and Seal both run controlled quality processes in the cloud, and both reach into laboratory work. They differ in what a change to the operation is. Veeva QMS is one application in Veeva Quality Cloud, which unifies content management, training, quality management and QC laboratory applications on one cloud platform.¹ In Seal, teams configure lab, manufacturing and quality workflows on one platform around a shared ontology, so a corrective action can be released as a verified change to the workflow that runs the next batch or test.

2What Veeva Vault QMS is built for.

Veeva QMS is built for life sciences companies that want quality processes, controlled documents, training and QC on one vendor’s cloud, shared with their partners. Veeva Systems Inc., of Pleasanton, California, is listed on the New York Stock Exchange, describes itself as the industry cloud for life sciences and says it serves more than 1,500 customers. It operates as a public benefit corporation.² Veeva launched the product in 2016 as Vault QMS, extending its Vault platform and QualityDocs application into quality processes, and now names it Veeva QMS.³⁴

Veeva QMS delivers standard processes for deviations, internal and external audits, complaints, lab investigations, change control, CAPA, supplier quality, quality risk management and annual product quality review, which customers modify through point-and-click configuration.⁵ Departments, sites, suppliers, contract manufacturers and contract test labs can be brought into those processes, for example to work on investigations, audit findings, corrective actions and supplier change control.⁴⁵ It connects to Veeva’s regulatory application to coordinate product change control, to its safety application for complaints, and to its CTMS for protocol deviations.⁴

Around it, Veeva Quality Cloud includes:¹

• QualityDocs for GxP documents, Training for role-based qualification, and LearnGxP courses.
• Veeva LIMS for batch release testing, stability studies, sample management and digital test method execution.⁶
• Batch Release, Validation Management, Station Manager, Product Surveillance for medical devices, and an EHS application.

Veeva says more than 600 biopharma, contract manufacturing, generics and medtech companies use its quality applications, and it offers emerging biotechs Veeva Quality Basics, a version ready to use out of the box.¹

Veeva builds AI agents into the QMS. In Vaults using its AI for Quality, a Deviation Agent and a Complaint Agent each draft a narrative summary of the investigation or the CAPA plan from related records, such as investigations, root causes and CAPA actions, and answer questions about the record in an AI chat. The user reviews the generated summary before saving it.⁷⁸ The QMS also offers recurrence and duplicate checks, auto-suggestion and automated email ingestion.⁵

3How a change reaches the lab and the line.

Both products link a change to the work it affects. In Veeva the route runs through controlled documents, training and the applications that display them; in Seal the change can be the configured rule the work runs.

In Veeva QMS, a change control can automatically trigger document change control for the affected SOPs and work instructions in QualityDocs, and change actions can be sequenced from templates.⁵ Veeva Training automates retraining when documents change, and training can be assigned within QMS workflows.⁹ On the shop floor, Station Manager is a tablet application that shows operators only the work instructions and procedures for their station, synced from QualityDocs so the latest versions stay available offline.¹⁰ In the QC laboratory, Veeva LIMS verifies the analyst’s qualification in Training, displays the effective test method procedure from QualityDocs and can open a quality event directly in QMS.⁶ Batch Release then brings together data and content from QualityDocs, QMS, LIMS, ERP and regulatory systems for release and market-ship decisions.¹¹

In Seal, the specification, the workflow that applies it and the checks that prove it are records one changeset carries. In the example in Seal’s validation blueprint, CHG-031 tightens a water-content limit from 0.50% in v03 to 0.40% in v04. Its checks run before release: 0.40% stays within the limit, 0.45% is now outside it, a missing reading requires a result, and a reading in the wrong unit, 0.4 mg/mL, is rejected. The next result runs on v04, with the titrator and the analyst checked when the result is recorded. Evidence recorded under v03 stays attached to v03.

Only the 0.45% case needs a new expected outcome; the other cases confirm that the boundary and the failure paths still behave. Because those expectations stay with the change, a reviewer can see after the next change which evidence still applies and which checks must run again.

4How each keeps validation current.

Veeva carries much of the platform’s validation itself, release by release. Seal keeps the verification with each configured change.

Veeva says it supports the validation of customer Vaults three times a year. It performs and documents installation and operational qualification for each major release, provides a sandbox and user acceptance test scripts that customers adapt for performance qualification, and shares a validation package with a project plan, requirements, a test protocol, traceability matrices and a summary report. It risk-assesses every new or updated feature, re-executes its validation scripts each release and revalidates all functionality every two years. Customers confirm their own configuration, such as security profiles, workflows and document taxonomies, through user acceptance testing or performance qualification.¹² For the customer’s own systems, equipment and processes, Veeva Validation Management runs commissioning, qualification and validation digitally, with test scripts executed in the system and traceability and summary reports generated automatically.¹³

In Seal, the URS, FS, DS and configuration specification are kept in the platform and linked to the released version. When a changeset is prepared for review, its selected user acceptance tests run, and publication requires current passing results for the required tests. Failures, corrections and retests stay with the candidate revision, and earlier runs keep the version they used. An automated check supports your team’s release decision; it is not an independent declaration of compliance. The regulatory guide sets out the approach.

5Where Veeva Vault QMS is the better fit.

Veeva QMS is the better fit when you want one vendor’s cloud across quality, regulatory, safety and clinical work, at enterprise scale.

• You already use Veeva for regulatory, safety or clinical work and want quality change control coordinated with those applications through Veeva’s own connections.⁴¹
• You work with many suppliers, contract manufacturers and contract laboratories and want them inside your quality processes.⁵
• You prefer the vendor to perform and document IQ and OQ for each release, with UAT scripts and a validation package to adapt.¹²
• You want controlled documents delivered to tablets at manufacturing stations and available offline.¹⁰
• You need release and market-ship decisions assembled from QMS, LIMS, ERP and regulatory data.¹¹
• You are an emerging biotech that wants a preconfigured quality system from Veeva.¹

6Where Seal is the better fit.

Seal is the better fit when each investigation should change how the next batch or test runs, across laboratory, manufacturing and quality.

• You want manufacturing execution, laboratory work and quality on one set of records. In Seal they use a shared ontology: a sample belongs to a batch, a result comes from a test, and an investigation links to the affected work.
• You want a corrective action released as a verified change to the workflow itself, such as a limit, a required field or a review gate, with its effectiveness measured on the runs that follow.
• You expect to keep changing the process. Each improvement becomes a new process version with its specifications, test evidence and approvals, and earlier runs keep the version they used.
• You want an AI agent whose output is configured work. Neil configures the workflow from your procedure, assembles investigation evidence and drafts the configured change with its verification cases. It works within the requester’s permissions, never releases a change on its own, and AI can be switched off for the whole organisation. 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 Veeva Vault QMS.

You do not need to replace Veeva to start. Seal connects to it in two ways.

Seal’s Veeva Vault QMS connection connects deviations, CAPAs and change controls in Veeva QMS with related work in Seal through a scoped Vault API integration. Record mappings, transfer direction and permissions are defined for your process before implementation. Neil can also use the record actions exposed through your configured Vault AI connection: each person connects their own Vault account, the Vault administrator enables the agent actions and API access, and each call requires approval.

For controlled documents, the Veeva Vault library shares captured versions of selected steady-state documents, including QualityDocs, with chosen Seal groups, to reference with @ in documents, comments and Neil. A scoped Vault API integration is needed only to exchange lifecycle states or metadata with Seal records.

Start with read access, and treat any write to Veeva as a separate decision with defined actions, review gates and audit evidence, as the regulatory guide describes. Each connection’s scope also records which system stays the source of truth. For example, QualityDocs can remain the home of controlled documents while one QC process runs in Seal and reads the procedures it needs.

8Moving from Veeva Vault QMS to Seal.

Move one process first, and keep Veeva for the rest until you decide otherwise.

1. Choose a process where findings should change how the work runs, such as a release test whose limit or review step keeps producing investigations.
2. Bring the procedure or specification, a representative event and the records it touches. Start with sample material, or arrange an NDA before sharing confidential records.
3. Neil proposes the workflow from that procedure, and your quality team checks it against how the work runs. Once the scope is agreed and the inputs received, Seal prepares the first working process and its validation pack within 48 hours. Production timing then depends on scope, interfaces, migration and your release requirements.
4. Share the procedures the process needs from QualityDocs through the Vault library, and connect Veeva QMS read-only for the related deviations and CAPAs.
5. Agree which records move and which stay retrievable in Veeva. Within that scope, relationships, attachments, versions and available audit context are preserved, and representative records are reconciled and retrieval verified before you rely on the new workflow.

Retention obligations continue for the records that stay in Veeva. As more laboratory, manufacturing and quality work moves onto the same records, fewer changes have to be carried by hand between systems. The QMS blueprint describes the quality workflows in detail.