Cognic Systems

PHARMA AI • GXP COMPLIANT • CLINICAL TRIALS • PHARMACOVIGILANCE

AI & Automation for Pharma & Life Sciences Operations

Cognic builds GxP-compliant AI agents, clinical trial recruitment automation, pharmacovigilance adverse event extraction, regulatory submission document AI, and custom laboratory software to accelerate drug development, streamline trials, and maintain FDA 21 CFR Part 11 validation.

Clinical Protocols
LIMS & Assay Feeds
Adverse Event Logs
Patient Cohorts
Batch Records
Cognic
AI & Automation
21 CFR Part 11
Fast Trial Ingest
Automated CSRs
Safety Surveillance
FDA 21 CFR Part 11 & GxP
Clinical Trial AI Agents
Pharmacovigilance (PV) AI
Batch Record Automation
Regulatory Submission RAG
Custom Life Sciences Software
THE CHALLENGE

Life Sciences Operations Face Extreme Regulatory and Data Complexity

Pharmaceutical companies, biotech innovators, and Contract Research Organizations (CROs) operate under the world’s most stringent regulatory frameworks. Bringing therapies to market requires managing clinical trial protocols across global study sites, screening adverse events from vast literature and patient reports, validating electronic batch production records, and compiling multi-thousand-page eCTD regulatory dossiers. Manual administrative bottlenecks inflate R&D timelines and introduce compliance risks. Cognic engineers secure, GxP-validated AI software and automation to streamline these critical operational workflows.

01
Slow Clinical Trial Patient Recruitment & Retention

Matching diverse patient eligibility criteria against complex clinical protocols takes months, leading to delayed site activations and trial extensions.

02
High-Volume Pharmacovigilance (PV) Ingestion

Reviewing thousands of adverse event reports across spontaneous forms, medical journals, and call centers for ICH E2B reporting creates immense backlogs.

03
Labor-Intensive Batch Record Review (BMR/BPR)

Manually verifying deviation notes, equipment calibration logs, and analytical test results across multi-page manufacturing batch records delays lot release.

04
Fragmented Regulatory Submission Assembly

Aggregating preclinical, clinical, and CMC data into compliant eCTD submission modules across global health authorities (FDA, EMA, PMDA) consumes thousands of scientist hours.

WHAT WE BUILD

Enterprise AI Solutions Built for Pharma & Life Sciences

We build FDA 21 CFR Part 11 validated AI systems, intelligent clinical trial pipelines, and workflow automation tailored for pharmaceutical enterprises, biotech startups, and CROs.

Clinical Trial Patient Matching & Site Agents

AI agents that parse unstructured EHR records against complex clinical trial inclusion and exclusion criteria to identify eligible patient cohorts quickly.

Protocol ScreeningEHR Cohort MatchingSite Feasibility AI
Explore Solution →

Pharmacovigilance & Adverse Event Document AI

Automated extraction of suspect drugs, adverse events, patient demographics, and causality scores from safety forms and literature to draft MedDRA-coded safety cases.

MedDRA CodingAdverse Event ExtractionICH E2B Formatting
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Electronic Batch Record (eBR) Review Automation

Intelligent review pipelines that cross-check completed batch manufacturing records, identify deviation discrepancies, and highlight exceptions for Quality Assurance release.

Batch Record AuditDeviation DetectionLot Release Acceleration
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Regulatory eCTD & Scientific Dossier RAG

Retrieval-Augmented Generation systems indexing clinical study reports, investigator brochures, and assay data to draft standard sections of regulatory filings.

Clinical Study ReportsInvestigator BrochureseCTD Drafting
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Clinical Patient Engagement & Diary Voice AI

HIPAA-compliant conversational voice agents collecting patient-reported outcomes (ePRO), medication adherence check-ins, and study visit reminders.

Patient-Reported OutcomesMedication AdherenceStudy Visit Check-in
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Custom LIMS & Life Sciences Software

Bespoke laboratory information management systems (LIMS), EDC system connectors, sample tracking applications, and analytical data visualization platforms.

LIMS CustomizationEDC Connectors (Medidata/Veeva)Analytical Dashboards
Explore Solution →
PHARMA USE CASES

Where Pharma Operations Deploy AI & Automation

Automated Clinical Protocol Digitization

Extracting trial schedules, biospecimen collection timing, and dosage escalation steps from multi-page PDF study protocols into structured EDC study builds.

Medical Literature Screening for Drug Safety

Continuously scanning PubMed, PMC, and scientific journals to detect off-label use, drug interactions, and adverse events for safety surveillance compliance.

Assay Quality Control Outlier Detection

Machine learning algorithms identifying micro-variations and baseline drift in high-throughput chromatography and mass spectrometry runs before testing fails.

Decentralized Clinical Trial (DCT) Coordination

Automating remote patient consent workflows, digital diary submission tracking, and localized laboratory kit delivery across decentralized trial sites.

Drug Stability & Shelf-Life Predictive Modeling

Analyzing accelerated temperature, humidity, and chemical degradation data to forecast shelf-life expiration dates and optimize formulation packaging.

Regulatory Change Intelligence Monitoring

AI agents tracking daily guidance updates and Pharmacopeial monograph changes across the FDA, EMA, MHRA, and PMDA to flag internal SOP revisions.

Electronic Trial Master File (eTMF) Completeness Auditing

Automated inspection of eTMF document repositories to identify missing investigator credentials, expired CVs, and outdated 1572 regulatory filings.

Medical Information Request (MIR) Helpdesk AI

Conversational assistant triaging scientific inquiries from healthcare professionals, retrieving verified medical answers from approved product label dossiers.

CONNECTED TECHNOLOGY

Enterprise Pharma AI, Connected to Your Systems

LIMS, EDC & Clinical Trial Data Feeds
↓
21 CFR Part 11 Validated Integration Layer
↓
Cognic Life Sciences AI & Extraction Engine
↓
GxP Quality & Regulatory Rule Checker
↓
Core Life Sciences Systems (Veeva, Medidata, SAP)
↓
Safety & Clinical Operations Analytics
Discuss Integration →
  • Veeva Vault (eTMF, Quality, CTMS, Safety)
  • Medidata Rave EDC
  • Oracle Argus Safety / ArisGlobal LifeSphere
  • Electronic Batch Record (eBR) Platforms
  • Laboratory Information Management (LIMS: LabWare, STARLIMS)
  • Clinical Data Interchange Standards (CDISC: SDTM, ADaM)
  • MedDRA & WHO Drug Medical Dictionaries
  • Electronic Common Technical Document (eCTD) Compilers
  • FHIR / HL7 Clinical Interoperability Interfaces
  • SAP Life Sciences ERP & Track & Trace
SECURITY & COMPLIANCE

FDA 21 CFR Part 11 Compliance & GxP Validation

Electronic Signatures & Part 11

Compliant with FDA 21 CFR Part 11 and EU Annex 11 requirements for cryptographically verifiable, timestamped digital signatures.

GxP Computer System Validation (CSV)

Delivered with complete GAMP 5 validation packages: User Requirements (URS), Functional Specs (FS), and IQ/OQ/PQ test scripts.

Isolated Private VPC Hosting

Deployable on dedicated private cloud instances with strict tenant isolation, zero multi-tenant data contamination, and encrypted storage.

Immutable Audit Trail

Automated, non-editable audit trail recording the date, time, user, prior value, and reason for change on all critical data points.

Data Integrity & ALCOA+ Alignment

System architecture enforces Attributable, Legible, Contemporaneous, Original, and Accurate (ALCOA+) data integrity principles.

Mandatory Qualified Person Review

All adverse event reports and batch release decisions require explicit sign-off by qualified medical doctors and QA personnel.

RESPONSIBLE AI

Human-in-the-Loop AI for Pharma

In drug development and patient safety, compliance is absolute. Our AI automates data collection, extracts clinical findings, and highlights deviations, but certified medical officers and Quality Assurance heads make all final regulatory and release determinations.

Safety or Batch Ingestion
AI Entity Extraction & Coding
GxP & Deviation Verification
Medical / QA Officer Review
Approved Sign-Off & Submission
21 CFR Part 11 Audit Trail
PHARMA AI IN PRACTICE

Pharma Automation in Practice

65%
Faster Intake Processing
100%
On-Time Reporting Rate
Adverse Event Case Processing Hours

Illustrative operational metrics — representative outcomes.

Automated Pharmacovigilance Case Processing & MedDRA Coding

Problem: A mid-sized biopharma company faced a 300% surge in adverse event reports during a global post-market surveillance campaign, resulting in processing backlogs and risking regulatory reporting compliance deadlines. Solution: Cognic engineered a GxP-validated adverse event extraction and coding workflow that ingests safety emails, PDFs, and call center logs, automatically identifying patient demographics, suspect products, adverse reaction terms, and suggested MedDRA codes for safety physician review. Technology:
Document AINLP Entity ExtractionMedDRA Coding EngineArgus Integration
Operational Standards:
FDA 21 CFR Part 11GAMP 5 CSV PackageALCOA+ Audit Trail
Result: Reduced adverse event intake and initial case coding time by 65%, eliminated reporting backlog entirely, and achieved 100% on-time submission compliance for expedited safety reports. View Case Studies →
WHY COGNIC

Why Pharma Leaders Choose Cognic

We combine AI engineering with robust software development to automate pharma workflows reliably.

01
GxP & Validation Rigor

We do not build speculative prototypes; we deliver fully documented, GAMP 5 validated software systems ready for regulatory scrutiny.

02
Life Sciences Interoperability

Our solutions connect directly with Veeva Vault, Medidata Rave, Oracle Argus, and standard LIMS platforms without disrupting daily work.

03
Data Integrity by Design

We embed ALCOA+ principles and 21 CFR Part 11 cryptographic audit trails into the fundamental database and application layer.

04
Domain-Specialized Engineering

Our engineers understand MedDRA hierarchies, CDISC SDTM formats, and clinical study lifecycle requirements from day one.

PHARMA AI FAQ

Pharma AI & Automation FAQs

How does Cognic ensure compliance with FDA 21 CFR Part 11 and EU Annex 11?
We implement computer systems validation (CSV) following GAMP 5 principles. Every application features cryptographically secure, timestamped electronic signatures, automated immutable audit trails recording all changes, strict role-based access, and complete IQ/OQ/PQ testing documentation ready for audit.
Can the AI automatically assign MedDRA and WHO Drug codes to adverse events?
Yes. Our clinical NLP models analyze unstructured narrative descriptions in medical reports to identify suspect medications and reported reaction terms. The system maps these terms to candidate Lowest Level Terms (LLT) and Preferred Terms (PT) within the MedDRA dictionary, presenting them with confidence scores for safety physician validation.
How does Document AI streamline the Electronic Batch Record (eBR) review process?
Our pipeline ingests scanned and electronic batch production records, running automated checks on operator sign-offs, critical process parameters (temperature, pH, mixing speeds), instrument calibration dates, and raw material lot numbers, immediately flagging deviations for QA exception review.
Can this software integrate with Veeva Vault and Medidata Rave?
Yes. We build secure REST API integrations with Veeva Vault (eTMF, Quality, Safety, Promomats) and Medidata Rave EDC, allowing clinical trial documents, safety cases, and subject eligibility data to synchronize bi-directionally without double-entry.
How is patient privacy protected during clinical trial patient matching?
All patient healthcare records are de-identified and processed behind your secure VPC or private clinical network firewall. Personally Identifiable Information (PII) and Protected Health Information (PHI) are scrubbed before criteria-matching models run, ensuring full HIPAA and GDPR compliance.
What is a GAMP 5 Computer System Validation package?
GAMP 5 (Good Automated Manufacturing Practice) is the international standard for validating automated systems in the pharmaceutical industry. We deliver a complete validation documentation binder: User Requirements Specification (URS), Functional Specification (FS), Traceability Matrix, and executed Installation, Operational, and Performance Qualification (IQ/OQ/PQ) protocols.
Does Cognic use client clinical trial or patent data to train public AI models?
Never. All customer data, scientific manuscripts, patent disclosures, and clinical trial records remain strictly private. Models are deployed within dedicated, isolated client tenant containers and are never fed into public foundation models.
What is the expected timeline for delivering a validated life sciences workflow?
A targeted workflow module, such as adverse event literature screening or protocol parsing, typically takes 6 to 8 weeks for technical deployment, followed by 3 to 4 weeks for formal GxP Computer System Validation (CSV) document execution and sign-off.
AUTOMATE PHARMA WORKFLOWS

Ready to Accelerate Your Life Sciences Operations?

Discuss your clinical trial patient matching, pharmacovigilance case processing, batch record review, or GxP software integration needs with our life sciences software engineers. We will show you how validated AI pipelines can compress your development cycles.