AI that survives a GxP audit.
The question that kills every life-sciences AI pilot is "can we validate it?" SphereIQ answers it — every response cited, every action ledgered, deployed in a validated GxP environment.
Can AI be used in GxP environments?
Yes — when governance is enforced in the request path. SphereIQ has been deployed in validated GxP environments, with validation documentation packs (IQ/OQ/PQ support), audit-grade ledgers, human-approval workflows, and citation-verified answers that quality teams can trace to controlled source documents.
Deployed where the compliance bar is highest.
A life-sciences services firm runs a SphereIQ knowledge assistant in a GxP context — controlled documents in, cited answers out, every interaction ledgered. If it clears life-sciences quality review, your industry's bar is already met.
Same platform. Pre-built for your world.
Vertical editions ship with a pre-built Twin schema, agent templates, and compliance packs for the industry — so deployment starts at mile ten, not mile zero.
GxP validation pack
IQ/OQ/PQ support documentation, intended-use definitions, and audit ledger exports mapped to your quality system.
Manufacturing & quality agents
SOP assistant, deviation support, batch-record Q&A, and training-compliance agents — grounded in controlled documents only.
Life-sciences Twin
Pre-modeled entities: sites, suites, equipment, SOPs, roles, and the approval chains that connect them.
The GxP AI Validation Checklist
The two-page checklist our team uses to scope validated AI deployments: intended use, data controls, audit evidence, and the questions your quality team will ask — answered before they ask them.
Asked in every evaluation
Does using AI mean revalidating our quality system?
Can it run fully inside our environment?
What about 21 CFR Part 11?
Your competitors are waiting for permission. The permission structure now exists.
Start with a scoped, validated pilot on one controlled-document collection.