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Transforming R&D with Math & Science

Welcome to a revolution where Machine Learning meets Molecular Science. We predict outcomes, simulate scenarios, and turn complex challenges into elegant solutions.

Explore Our Journey
Visualization of Math, Science, and Machine Learning converging into Aizen SiM6 MATH SCIENCE ML DATA ΣM6

The Innovation Pipeline

01

Pharma Synergy

Digital Twin (DEM/CFD). Validated fluid dynamics models for API manufacturing & scale-up.

Process Velocity Profile (CFD)
02

Algorithmic Alchemy

Machine Learning. Neural networks tailored for molecular property prediction and QSAR.

Deep Learning Architecture
03

Bio-Predictive Excellence

Virtual BE Studies. Population-based simulations to assess bio-equivalence risks.

Virtual Population Simulation
04

Seamless Innovation

Tech Transfer. Defining the Design Space for robust commercial scale-up.

Design Space Mapping (QbD)
Process Parameters
05

PBPK Nexus

Mechanistic Modeling. Full-body compartmental analysis for ADME prediction.

Compartmental Model
GUT
→
LIVER
→
PLASMA
06

Stability Foresight

Arrhenius Kinetics. Accelerated stability prediction and impurity profiling.

Arrhenius Plot (ln k vs 1/T)

Ready to Innovate?

Join us on this transformative journey.

Contact Aizen SiM6