AI GxP validation for regulated life sciences
Industries

Life Sciences

Cybroscape is a Life Sciences technology company. We build the AI-first validation, compliance and clinical technology layer that pharma, biotech, med-device, CRO, diagnostics and vaccines operators buy from us.

Quick chat on WhatsAppHuman review at every gatePart 11 readyISO 9001 & 27001 certified
FDAEMAMHRAPMDACDSCOGAMP 5ICH Q921 CFR Part 11
In short

Across life sciences the regulations differ by sector but the standard for a defensible record does not: every test traces to a numbered requirement, every deviation has a documented resolution, every approval is attributable to a person who could realistically have checked it, and records are tamper-evident in a way that can be demonstrated rather than asserted.

Roadblocks

Identify The Roadblocks Slowing Your Growth

These challenges compound: cycles slow, scaling gets harder, and inspection posture drifts.

01AI adoption without governance
02Fragmented validation practice
03Documentation-heavy submissions
04Manual authoring limits velocity
Regulations

Regulations We Cover

Every life sciences engagement is mapped to the regulations your inspectors will use.

Life
sciences
  • Cross-domain GxP
  • ICH
  • FDA
  • EMA
  • MHRA
  • PMDA
  • CDSCO
Where validation sits
  1. 01ResearchELNLIMSData that can support a filing
  2. 02ClinicalEDCeTMFCTMSTrial records and their audit trails
  3. 03ManufacturingMESERPSCADABatch records and process control
  4. 04QualityeQMSDocument managementDeviations, CAPA and change control
  5. 05Regulatory and safetyRIMSafety databaseSubmissions and safety cases
Where validated systems sit across a typical life sciences value chain, and what an inspector looks at in each stage. Typical systems shown; your estate will differ.

The Cross-Domain GxP Challenge

Life sciences organisations operating across multiple regulated domains — pharmaceutical manufacturing, clinical development, medical device quality, and diagnostic laboratory operations — face a validation challenge that is greater than the sum of its parts. Each domain has its own regulatory framework (GMP, GCP, QSR, CLIA), its own vocabulary, and its own document conventions. But the systems that manage regulated data increasingly span domain boundaries: an ERP system used for pharmaceutical batch management and medical device supply chain management must be validated against both GMP and QSR requirements.

Cybroscape's cross-domain expertise is the most practical differentiator we offer large life sciences organisations. Our validation team brings regulatory knowledge across FDA, EMA, MHRA, and PMDA frameworks, and our approach to cross-domain systems is to develop validation strategies that satisfy all applicable regulatory requirements in a single integrated package — not parallel documentation silos for each regulatory framework.

AI Transformation in Life Sciences: The Governance Gap

The life sciences industry is adopting AI at a pace that its governance frameworks have not kept up with. AI tools are being used to accelerate drug discovery, optimise manufacturing processes, support clinical trial design, automate document generation, and classify safety signals — often without the systematic validation, documentation, and change management that regulators will expect when they inspect the processes these tools support.

Cybroscape occupies a unique position at the intersection of AI and life sciences regulation. Our GxP Copilot platform provides the governance infrastructure that responsible AI adoption requires: model cards, performance benchmarks, drift monitoring, human oversight controls, and audit trail documentation. Our AI validation practice delivers the assurance documentation that Annex 22 and FDA AI/ML guidance will mandate. And our TraceDraft platform demonstrates what AI-native clinical documentation looks like when it is designed for GxP compliance from the ground up.

Running a validated estate?Talk to a life sciences lead, or chat with us on WhatsApp.

The Documentation Productivity Gap

Life sciences is one of the most documentation-intensive industries in the global economy. The documentation burden is not decreasing — regulatory requirements have added significant new documentation obligations (IDMP, eCTD 4.0, IVDR clinical performance evaluations, MDR post-market surveillance reports) faster than digital tools have offset the documentation effort. The result is a structural documentation productivity gap: more documentation is required, and the people who produce it are a scarce and expensive resource.

The opportunity is not to eliminate documentation — it is to eliminate the low-value work within documentation. The structural formatting, the cross-reference management, the template compliance checking, the source citation — these are tasks that take significant time from qualified medical writers and regulatory affairs professionals but add no unique analytical value. TraceDraft automates exactly this layer, freeing subject matter experts to focus on the clinical interpretation, the regulatory strategy, and the sponsor-specific positioning that AI cannot replicate.

Explore More For Regulated Life Sciences

Life Sciences validation without the backlog.

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