Our niche
eCQV · GxP Compliance
AI-Native · Governance Serving
Industries of Pharma, Biotech
& Health Sciences

The only practice
built where validation
meets intelligence.

eCQV·GxP delivers AI-backed commissioning, qualification, validation, and GxP compliance governance — purpose-built for pharma, biotech, and health sciences organizations that cannot afford to choose between rigor and speed.

Frameworks FDA 21 CFR 211 ICH Q8–Q10 AI/ML in GMP ASTM E-2500 ISPE GAMP 5 EMA Annex 11
Live AI engine demo
ecqv-engine · deviation_analysis.py
# eCQV·GxP — AI-backed deviation analysis   client = "BioPharma Site — Aseptic Fill" deviation = "DEV-2025-0412: HVAC ΔP excursion" context = "GMP Grade A/B · ICH Q10"   result = engine.analyze(deviation, context)   # ─── Output ─────────────────────────────── ✓ Root cause HVAC delta-P drift · Zone B-3 ✓ CQA impact Particulate risk · requalify IQ/OQ ✓ CAPA options 3 validated pathways ranked ✓ Regulatory LOW risk · 6 precedents found ✓ Report GxP-compliant draft ready   Avg human cycle: 18 days → AI: 6.1 sec   result.export(format="GxP-audit-ready")
50%
Investigation cycle reduction
6s
AI root cause vs. 18-day average
0
AI-related 483 observations
Our niche

Two domains.
One AI-native practice.

Most firms operate in one world. We are built at the intersection of eCQV and GxP — with AI as the connective tissue that makes the combination more powerful than either domain alone.

Practice identity
eCQV·GxP
AI-Backed Compliance &
Governance for Pharma,
Biotech & Health Sciences
Pharmaceutical Biotech Health Sciences Medical Devices
Domain 01 · eCQV

Electronic Commissioning,
Qualification & Validation

  • Facilities, utilities & cleanroom qualification (IQ / OQ / PQ)
  • Process equipment & automation system validation
  • Process validation & continued process verification (CPV)
  • Computer software assurance (CSA) & CSV lifecycle management
  • Cleaning & sterilization validation
Domain 02 · GxP

Electronic Good Practice
Compliance & Governance

  • GMP quality management systems — deviations, CAPA, change control
  • GLP analytical method validation & laboratory compliance
  • Data integrity governance — ALCOA+ across all GxP records
  • Regulatory intelligence — FDA, EMA, ICH, PIC/S interpretation
  • Inspection readiness & audit program management
The AI layer — spanning both domains
Intelligent infrastructure that no traditional CQV or GxP firm can offer
Protocol autopilot RCA copilot CPV anomaly detection Regulatory change engine AI/ML in GMP governance Validation documentation AI Smart deviation triage CAPA effectiveness scoring
What we deliver

Six service lines.
No generalists.

Each engagement is led by practitioners who have authored protocols, managed FDA inspections, and built CPV programs from inside regulated facilities — not consultants reading guidance from the outside.

01 ·· eCQV
Validation

CQV lifecycle management

End-to-end strategy, protocol authoring, execution oversight, and summary reporting aligned with ASTM E-2500 and ISPE GAMP 5 risk-based frameworks.

IQ · OQ · PQURS/FS/DSRisk assessment
02 ·· GxP
Compliance

Quality system design & remediation

Build or remediate QMS infrastructure — deviation management, CAPA workflows, change control, training systems, and management review frameworks.

21 CFR 211ICH Q10EMA GMP
03 ·· AI
AI-Native

AI copilots for validation & QA

Purpose-built AI tools for protocol drafting, deviation triage, root cause analysis, and CPV anomaly detection — GxP-validated and audit-ready from day one.

LLM + NLPML anomalyGxP-validated
04 ·· CSA
Validation

Computer software assurance

Risk-based validation of GxP software — MES, LIMS, EBR, QMS, SCADA — with full data integrity controls and 21 CFR Part 11 compliance built in.

Part 11GAMP 5CSA framework
05 ·· CPV
AI-Native

Continued process verification

AI-enhanced CPV programs that replace periodic manual statistics with near-real-time multivariate monitoring connected directly to your deviation and CAPA systems.

MES / historianMultivariate MLICH Q8/9/10
06 ·· GOV
Governance

AI in GMP governance

Policy, SOPs, model lifecycle frameworks, and validation packages for organizations deploying AI/ML in regulated GMP environments — before the auditor asks.

AI model validationFDA AI guidanceData lineage
Engagement model

From discovery to
deployed intelligence.

Every engagement follows a phased approach that prioritizes learning before building — so we solve the real problem, not the assumed one.

01
Discovery & pain mapping

Structured conversations with QA/CQV heads to map where time, money, and audit risk are actually concentrated — not assumed.

02
Identify the highest-impact opportunity

We identify the one high-impact problem — documentation-heavy, audit-painful, budget-justified — where AI delivers the fastest, most defensible return.

03
GxP-first design

Before a single line of AI code is written, we lock intended use, risk assessment, data governance, and change management. Regulatory posture is built in, not bolted on.

04
Deploy & govern

Advisory support or AI tool deployment — with ongoing model monitoring, performance review, and governance documentation your auditors will respect.

Why eCQV·GxP

The gap no one else fills.

AI vendors don't speak GMP. QA consultancies don't understand AI risk. We occupy exactly that gap — with the regulatory vocabulary to protect you and the technical depth to deliver.

GxP fluency as a technical moat

Our AI tools are designed inside-out — intended use documentation, risk assessments, training data controls, and change management built in. No regulatory retrofit required after the fact.

Practitioners, not theorists

Every engagement is led by people who have authored protocols, managed investigations, survived FDA inspections, and built CPV programs — not consultants who have only read the guidance.

Advisory-first, product-backed

We start with deep discovery, never a pitch deck. Where our AI tools fit, we deploy them. Where they don't, we deliver the strategy anyway. Your outcome is the only metric.

Built for inspection day

Every deliverable — protocol, AI governance framework, CAPA analysis, or validation package — is structured to hold up under FDA or EMA scrutiny. Defensibility is not optional here.

30+
Years combined eCQV · GxP expertise
50%
Typical investigation cycle time reduction
3×
Industries served — pharma, biotech, health sciences
0
AI-related 483 observations across all engagements
Ready to start

The world has never seen a practice like this.
The evolution of GxP is here.

Whether you're a VP of Quality facing an inspection, a Head of CQV drowning in documentation, or a C-suite leader trying to understand how AI fits your GMP strategy — we have the conversation you need.