Precision Statistics for High-Stakes Decisions

We help pharma teams design smarter trials, accelerate submissions, and unlock insights—combining classic biostatistics with modern AI.

Biostatistician reviewing clinical trial dashboards on multiple monitors

What we do

From study design to submission, built on rigorous methods and reproducible code.

Clinical Trial Design & Support

  • Study Design & Sample Size Calculation
  • Statistical Analysis Plan Development
  • Adaptive Study Design
  • Protocol & CSR writing support
  • Subgroup and sensitivity analyses
  • TFLs Shells Preparation & Review
  • Regulatory Submission Support
  • Topline Results plan and reporting
  • Missing Data Handling & Imputation Tecniques
  • Data Monitoring Committee (DMC) services for Safety and Efficacy Decisions

Exploratory & Supporting Analyses

  • General Statistical consulting
  • Simulation studies to explore "What if" scenarios
  • Multiplicity Control Methods
  • Publication support and Ad-hoc Analyses
  • Real World Data analysis
  • Meta-analysis and pooled analyses
  • Bayesian analyses
  • Disease Progression Modeling
  • Biomarker and Surrogate Endpoint Analysis

AI/ML Methods Applications

  • Use ML/LLMs to speed reviews
  • Reproducible pipelines
  • Explainable models
  • RWE analysis
  • Safety signal detection
  • Patient stratification
  • Predictive modeling
  • Intelligent Data Monitoring

About us

We’re a team of statisticians and programmers with experience across NCS,oncology and rare disease. We believe in clarity, quality, efficiency, and collaboration.

  • Senior PhD leadership
  • Verified QC workflows
  • Transparent communication

Credentials

  • CDISC / GCP Proficiency
  • Deep knowledge of regulatory guidelines and standards (FDA, EMA, ICH)
  • Extensive experience in the design and analysis of clinical studies
  • More than 20 years of collaboration experience working with scientists from different backgrounds
  • Experience with major EDC, eTMF, and CTMS platforms
  • 20+ years of programming Experience in SAS & R
  • Working Experience with ML/AI tools and frameworks

Contact us

Tell us about your study or analytics need. We’ll reply within 1 business day.

You can reach us directly at