Seal vs Kneat Gx

1Kneat Gx and Seal, side by side.

Kneat Gx and Seal both keep validation evidence electronic, traceable and signed. They differ in what that evidence is a record of. Kneat Gx is a paperless validation platform: teams author, review, approve and execute protocols in it, and Kneat calls it the validation system of record.¹ Seal is the GxP operating system for biopharma. Teams configure lab, manufacturing and quality workflows in it, so fitness for intended use is shown from the work itself, and each configuration change carries its own checks to release.

2What Kneat Gx is built for.

Kneat Gx is made for validation teams that want to take every validation discipline off paper, across many sites, in one configurable system. Kneat describes it as a digital validation platform that lets regulated companies manage any validation discipline from end to end.² Kneat Solutions was founded in Limerick, Ireland, in 2007 by engineers from the pharmaceutical sector, and its global headquarters is still there.³ On 11 August 2026 an affiliate of Thoma Bravo completed its acquisition of Kneat, which became a private company and left the Toronto Stock Exchange.²³ Kneat says nine of the world’s ten largest life sciences companies use it, among more than 100 customers and 350 site deployments.³

Kneat Gx covers process, cleaning, CSV and CSA, commissioning and qualification, equipment, analytical instrument, utility and facility, cold chain and method validation, along with electronic logbooks, document management and drawing management.⁴ Kneat also lists electronic batch records among its use cases.³ Teams can work document-centric or data-centric in the same workspace and configure workflows without code, and the requirements traceability matrix updates as changes are saved.⁴³ Pre-approved IQ, OQ and PQ templates generate complete document packs, and vendor tests and evidence can support the CSV risk assessment.⁵ For commissioning and qualification, Kneat supports a risk-based approach aligned with ASTM E2500.⁶ Test records can carry embedded video and audio evidence.³

Kneat Gx is multitenant software as a service on AWS, with separate US and EU platforms and open APIs for connecting QMS, LMS and ERP systems.³ Kneat states that Kneat Gx is 21 CFR Part 11 and Annex 11 compliant, and its management system is certified to ISO 9001 and ISO 27001.²⁷ Its optional AI follows a model Kneat calls GRID: generating requirements, test cases and protocols from approved content, reviewing with automated QA checks and deviation detection, interrogating validation data in natural language, and developing from usage patterns over time, with human-in-the-loop oversight.³¹

3Executed protocols, and evidence from the work.

Both approaches are paperless and traceable. The difference is whether validation is a lifecycle held beside the work or evidence the work produces.

In Kneat Gx, validation runs as its own lifecycle. A protocol is generated from a template, reviewed and approved, executed online with its evidence attached, and traced to the requirements and risks it covers.⁵⁸ Kneat’s eLogbooks carry that record into operations: they log equipment use, maintenance and cleaning, and link the entries across the equipment’s lifecycle.⁹ The result is an inspection-ready record of validation activity, kept in a validation system.

Seal’s case is not a better way to write the protocol. In Seal, equipment and system status is checked at the point of use, each configuration change is verified in proportion to its risk, and the release record carries its evidence under change control. Take HPLC-007, the example in Seal’s validation blueprint. The instrument carries its intended uses: release testing under AM-014 v03 requires a qualified range, calibration, maintenance and analyst qualification. After a flow check measured 0.92 mL/min at a 1.00 mL/min set point, against an interval of 0.98 to 1.02 mL/min, new analytical use is blocked pending a flow assessment, while service work goes ahead. Return to use is its own decision. RTS-007 records post-service readings of 0.998, 1.002 and 1.000 mL/min and a leak check, and still shows no permitted analytical use until the review is complete.

A check at the point of use does not replace periodic evaluation or physical qualification. Where a site’s plan calls for IQ, OQ and PQ, Seal’s evidence maps onto those stages.

4How a change reaches the validated state.

Both products connect a change to the tests it affects. Kneat keeps the trace current across documents; Seal runs the selected checks against the candidate version before release.

Kneat says that when a URS is updated in Kneat Gx, linked IQ and OQ entities update automatically, giving teams a live view of their validation state, and that its change control shortens change assessment and implementation.⁴⁵ Repeat tests can be re-executed with their audit trails preserved.³

In Seal, a configuration change carries its requirement revision, impact assessment, selected checks and release decision. CHG-031, the worked example in Seal’s validation blueprint, tightens a water-content limit from 0.50% in v03 to 0.40% in v04. Its checks run against the candidate 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 is rejected. Selected user acceptance tests run in a background simulation when the change is prepared for review, and publication requires current passing results. The next result runs on v04, with the titrator and the analyst checked when it is recorded, and evidence recorded under v03 stays attached to v03.

A change that matches no test-selection rule has no automated coverage, so the rules are configured across the governed scope. A passing check supports your team’s release decision; it is not a declaration of compliance. Supplier testing of the platform supports your assessment, but it does not establish that your configuration, integrations or intended use have been verified. The regulatory guide sets out where each boundary sits.

5Where Kneat Gx is the better fit.

Kneat Gx is the better fit when the job is to take a large validation programme off paper across many disciplines and sites.

• You validate equipment, facilities, utilities, cleaning, processes and third-party computer systems, and want one system for all of those protocols.⁴
• Your methodology is document-centric and you want to keep its protocol structure while moving to electronic execution, with the option to adopt data-centric validation at your own pace.⁴
• You run commissioning and qualification on new facilities with outside help: Kneat lists more than 50 certified partners offering implementation, training and migration services.³
• You need one governed standard with local configuration across many sites; Kneat cites a customer deployed across 27 sites.⁴
• You want your software suppliers’ tests and evidence to feed your CSV risk assessments.⁵

6Where Seal is the better fit.

Seal is the better fit when the processes you validate also run in Seal, and you expect to keep changing them.

• You want fitness for use checked when the work happens. Qualification, calibration, maintenance and analyst requirements are configured in the workflow that selects the equipment, so a missing prerequisite stops that path and shows why.
• You change limits, steps and review routes often, and want each change verified in proportion to its risk, with selected checks run against the candidate and earlier results kept with the version they tested.
• You want verification to test the paths that should not continue: boundary values, missing and invalid inputs, incompatible units and restricted actions, with failures, corrections and retests retained.
• You want Neil to prepare the verification. Given the requirement and the configuration, Neil compares the change with the tested baseline, traces the affected records and prepares structured cases, capture fields and review steps. Your team checks the coverage, runs the checks and decides release. 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 Kneat Gx.

You can keep Kneat for the disciplines Seal does not run, such as facility commissioning, and start Seal on one process. Seal has no dedicated Kneat connector. Where a system is not on Seal’s integrations list, Seal’s REST API and Scripts can connect it.

Seal’s API reads and writes records from another system; agree the records, direction of transfer, credentials and failure handling first. Scripts are versioned Python in Seal that can call an external service after an event or on a schedule, and they are edited in a changeset, tested and published like other Seal records. Kneat Gx offers open integration APIs on its side.³

Start with read access, and treat any write to Kneat as a separate decision with defined actions, review gates and audit evidence. Qualify the connection by defining identifiers and field mappings, testing missing, delayed and duplicate records, and reconciling transferred records against the source. The scope also names which system holds each record: Kneat can remain the home of facility and equipment qualification packages while one process runs in Seal.

8Moving from Kneat Gx to Seal.

Start with one change, not a migration of the validation library.

1. Choose one configuration change you need to make on a process that will run in Seal, such as a release-test limit or a review step, with its requirement and current test evidence.
2. Bring that material, starting with sample records or under an NDA for confidential ones. Existing Kneat protocols can serve as source material for the configured plan.
3. Neil prepares the impact assessment, the verification cases and the review package, and your team inspects them against how the work should run. In the 48-hour evaluation, Seal turns one process into a working workflow with a validation pack to inspect. Production timing then depends on scope, interfaces, migration and your release requirements.
4. Test the complete cycle before relying on it: a boundary value, a missing reading, an invalid unit, a failed case and its retest, a lapsed equipment prerequisite, and the release decision that follows.
5. Keep imported evidence with its original version and context. Importing it does not establish that it covers the current use, and retention obligations continue for the packages that stay in Kneat.

The validation blueprint and commissioning and qualification blueprint describe the approach in detail.