AI/ML for Pharmaceutical & Life Sciences
Accelerate drug discovery, optimize clinical trials, and automate pharmacovigilance — with ML pipelines that meet FDA and EMA validation requirements.
Why pharma teams choose us
GxP-ready ML with full validation support
FDA/EMA validation support
IQ/OQ/PQ documentation, GAMP 5 compliance, model validation reports, and 21 CFR Part 11 electronic records. We help you through regulatory submission.
Reproducible ML pipelines
Version-controlled data, models, and code. Deterministic training runs, containerized environments, and complete lineage tracking for audit trails.
Biotech expertise
Team includes ML engineers with pharma domain knowledge: SMILES, protein folding, molecular dynamics, and clinical trial design.
IP protection & security
On-prem or VPC deployments, no third-party model APIs, encrypted data lakes, and SOC 2 compliant infrastructure. Your IP stays yours.
Solutions for pharma & life sciences
From molecule design to post-market surveillance
Drug Discovery & Molecular Design
Generative models for de novo molecule design, property prediction, and retrosynthesis. Graph neural networks, transformers, and reinforcement learning for hit-to-lead optimization.
- • Molecular property prediction (ADMET, toxicity, solubility)
- • De novo molecule generation (VAE, GAN, diffusion models)
- • Protein-ligand binding affinity (docking score prediction)
- • Retrosynthesis planning (synthesis route optimization)
Impact: 10-20× faster lead candidate identification
Clinical Trial Optimization
Patient recruitment, site selection, protocol optimization, and endpoint prediction. Reduce trial duration and improve success rates with predictive analytics.
- • Patient eligibility screening (EHR matching to inclusion/exclusion)
- • Site selection & enrollment forecasting (geographic analysis)
- • Protocol deviation detection (real-time monitoring)
- • Endpoint prediction (survival analysis, time-to-event modeling)
Impact: 30-40% faster patient enrollment, 25% cost reduction
Pharmacovigilance & Adverse Event Detection
Automated AE signal detection from clinical notes, social media, and FAERS data. NLP for case report processing and regulatory submission.
- • Adverse event extraction (clinical notes, patient forums)
- • Signal detection (disproportionality analysis, Bayesian methods)
- • Case report automation (E2B formatting, MedDRA coding)
- • Literature monitoring (PubMed surveillance for safety signals)
Impact: 60-70% reduction in case processing time
Regulatory Document Intelligence
Extract, classify, and search regulatory submissions. NLP over CTD, eCTD, SDTM, and ADaM datasets for FDA/EMA filings.
- • Regulatory document search (RAG over submission history)
- • Label comparison (SmPC, USPI automated delta analysis)
- • Clinical study report extraction (efficacy/safety tables)
- • Submission readiness checks (completeness validation)
Impact: 50% faster regulatory document review and preparation
Manufacturing & Quality Control
Process optimization, anomaly detection, and predictive maintenance for pharma manufacturing. Computer vision for visual inspection.
- • Batch quality prediction (process parameters to yield)
- • Visual inspection automation (defect detection, contamination)
- • Predictive maintenance (equipment failure prediction)
- • Process optimization (DoE + Bayesian optimization)
Impact: 15-20% yield improvement, 40% reduction in defects
ML for faster R&D cycles
Real impact across the pharma value chain
10-20×
Faster molecule screening
30-40%
Faster trial enrollment
60-70%
AE processing time saved
15-20%
Manufacturing yield gain
Technology stack for pharma
Specialized tools for life sciences R&D
Cheminformatics
RDKit, DeepChem, OpenMM, PyMOL, Schrödinger
ML & LLM
PyTorch, DGL, PyG, AlphaFold 3, ESM-3, fine-tuned Llama/Mistral (LoRA, DPO, RLAIF)
Clinical Data
CDISC SDTM, ADaM, CDASH, HL7 FHIR
BioPharma NLP
BioBERT, PubMedBERT, MedCAT, scispaCy
Ready to explore AI for your business?
Book a 30‑min consult. No obligations.