At Algocell, our cutting-edge technologies drive innovation and excellence in bioprocess optimization. By integrating advanced models and algorithms, we provide comprehensive solutions to digitally enhance the precision, efficiency, and scalability of your processes. Explore the key technologies that set Algocell apart and enable your success:
Hybrid Biological Models
Our technology integrates process data and engineering expertise, combining the predictive strengths of mechanistic models with the adaptability of machine learning models. These models are designed for speed, ease of use, and effective knowledge transfer across scales and products.
In-Silico Simulations
We provide advanced in-silico simulations to predict and optimize bioprocess performance under diverse conditions, significantly reducing the need for costly and time-consuming physical experiments.
AI Optimization Algorithms
Our AI-driven algorithms can explore vast design spaces efficiently, identifying optimal process parameters and minimizing trial-and-error efforts to accelerate your optimization process.
Engineering Models
We utilize precise engineering models that are specifically tailored to your biological systems and physical equipment, ensuring accurate scale-up and optimal process performance.
Design of Experiments
We implement DOE methodologies to systematically plan and analyze experiments, maximizing information gained while minimizing the number of trials needed, leading to more efficient and effective bioprocess development.
Automated Data Intelligence
Our Automated Data Intelligence System processes, comprehends and integrates data from diverse sources. It autonomously detects and flags anomalous data, evaluates data quality, identifies interconnections and conducts sensitivity analyses. This ensures the integrity and reliability of data for precise model calibration using machine learning.