The GxP operating system. Learns from every run.

Seal replaces paper, spreadsheets, and legacy software with one system to run and record GxP work. Its AI, neil, learns how your operation works and proposes improvements, while your teams decide what changes. Life-changing products get to market faster.

Get your first process running in 48 hours.

Start with the process that matters most. Then expand one governed process at a time until execution, records, validation, training, and change control live together. neil, Seal's AI, proposes each workflow with its validation pack and training requirements. QA approves every release.

Start with one procedure

Use a sample first, or bring your own after an NDA.

neil proposes the build

Records, steps, checks, and gates, mapped from your own clauses.

Your team reviews and signs

Nothing goes live without named, signed human approval.

Live, with evidence

Evidence generated from the build. Execution gated per operator until training is current.

See the 48-hour build
One connected ontology
1,842 objects · connected
Autologous CAR-T data objects assembling into one ontologyPATIENT×217COI-2214APHERESIS×217AP-2214VECTOR×14LV-118INSTRUMENT×9Prodigy-3POTENCY×217412 pg/mLOPERATOR×28S. ReyesRELEASE×217QA ✓DEVIATION×19DEV-08CAR-T RELEASE217 patients

Every record stays connected to the work.

Materials, instrument readings, signatures, deviations, and release decisions stay tied to the work that produced them — not scattered across systems and integrations. With the complete record, neil can find patterns across runs without losing context.

How neil connects it

Validated doesn't mean frozen.

Because execution, validation, training, and records live together, neil can help change the process itself: scope impact, propose the next version, route approval and retraining, and produce the validation pack. The live process changes only by approved version.

Legacy stacks turn every improvement into a revalidation project. Seal lets each process evolve one governed version at a time.

Change set
Live
11m 32s
Elapsed
34
Checks
12/12
Gated
Change
Review by exception
neil proposed · v04
Scope
QC release step · 12 reviewers
neil scoped the impact
Verify
34 checks passed
Training assigned. QA review captured
Release
v04 live
Evidence pack sealed
How changes stay validated

Every run improves the next.

Most AI reads documents beside the work. neil learns from the work itself: approved workflows, run records, deviations, approvals, and release state. It turns repeated problems into governed changes QA can approve.

How neil works
Process memory
217 patients treated
Release time falling as governed process changes accumulateQA-PROC-014 · CAR-T MANUFACTURING · v04APHERESISACTIVATETRANSDUCEEXPANDFORMULATEQC RELEASERELEASE TIME · VEIN-TO-VEIN · DAYS28d21d14-DAY TARGETv02 · rapid sterilityv03 · in-line potencyv04 · review by exceptionPT-218 · PREDICTED

Friction is not rigor.

Medicine needs proof before it reaches patients.

Paper and document tools turn that proof into rework: retyped values, reconstructed evidence, disconnected review.

Teams run the work in Seal, which captures the proof inside it — as it happens, not after.