Industries / Pharmaceuticals

Pharmaceuticals

Accelerating the journey from molecule to market with AI engineering

Overview

Drug development costs exceed $2.6 billion over 10-15 years, with failure rates above 90% in clinical trials. AI materially improves the odds and compresses the timeline.

NINtec's Pharma practice delivers AI engineering for drug discovery, clinical development, regulatory affairs, and pharmacovigilance.

Capabilities

Clinical trial optimization - patient matching AI, site selection, recruitment prediction

Molecular modeling - ML-assisted compound screening, QSAR models

Regulatory document AI - automated dossier preparation, FDA/EMA eCTD support

Pharmacovigilance - AI-powered adverse event detection, signal analysis

Real-world evidence (RWE) - NLP extraction from EHRs, claims data analytics

Supply chain integrity - serialization, cold chain IoT, counterfeit detection

Laboratory informatics - LIMS integration, analytical data pipelines

Biostatistics automation - statistical analysis plan execution

Technology Stack

Chemistry

RDKit, DeepChem, OpenBabel, custom QSAR models

Clinical

CDISC standards (CDASH, SDTM, ADaM), SAS, R, Python

NLP

BioBERT, BioClinicalBERT, spaCy for biomedical NLP

IoT

Cold chain sensors, AWS IoT, Azure IoT Hub

Case Study

Clinical Trial Platform: 35% faster patient enrollment, FDA 21 CFR Part 11 compliant, deployed across 8 countries with real-time site monitoring and adaptive trial design.

Full case study

Accelerate Drug Development — Contact NINtec

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