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AI-Powered Process Simulation

AI-powered process simulation for predicting bioprocess output, purity, cost, and sustainability with hybrid mechanistic and machine learning models.

Solution by New Wave Biotech
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Overview

New Wave Biotech's AI-Powered Process Simulation is a bioprocess foresight platform designed to help biotechnology companies foresee the impact of technical and commercial decisions before committing to costly experiments. By combining proprietary AI models with your own process data, the platform predicts the output, purity, cost (CapEx, OpEx, COGS, and broader financials), and sustainability metrics (energy consumption and waste) of bioprocesses — enabling organisations to reach market faster and at lower cost.

The platform is built around a hybrid modelling approach that merges mechanistic models with the latest machine learning techniques. Mechanistic modelling provides explainability, helping users understand not just which process to choose but why, while machine learning captures the subtle nuances of biological processes to reflect the specifics of each unique scenario. This combination means teams can begin modelling before running experiments and can extract meaningful predictions from even a small number of data points.

Core Technology and Approach

  • Proprietary hybrid AI system combining mechanistic and machine learning models for explainable, nuanced bioprocess simulation.
  • Enables process modelling to begin prior to running experiments, reducing the time and cost associated with data acquisition.
  • Maximises the value of each dataset, delivering reliable predictions and process improvements from as few as a handful of experiments.
  • Allows simulation of new unit operations that have not yet been physically tested in the lab.
  • Turns historical experimental data into a competitive advantage that drives all future R&D projects.

Key Capabilities

  • End-to-End Process Modelling: Model the complete bioprocess from start to finish, predicting output, purity, cost, and sustainability, and visualise how changes to any part of the process impact overall outcomes.
  • Data Integration: Upload past experimental data to continuously improve predictions for specific processes, with improvements cascading across all future R&D projects on the platform.
  • Dynamic Analysis: Leverage advanced analysis and data visualisation tools to identify optimisation hotspots, understand the impact of scale and other parameters on process outcomes, and compare multiple process options side by side.

Business Benefits

  • Accelerates R&D timelines by reducing reliance on physical experimentation for early-stage decision-making.
  • Lowers the overall cost of R&D by enabling informed decisions before expensive experiments are conducted.
  • Provides clarity on commercial decisions through integrated cost modelling covering CapEx, OpEx, COGS, and financial projections.
  • Supports sustainability goals by predicting energy use and waste generation across process scenarios.
  • Enables biotechnology companies to get products to market quicker and more cost-effectively.

New Wave Biotech's platform is tailored to each user's specific process using their own data, and the team offers discovery calls and consultations for organisations with customised requirements, ensuring the solution can be adapted to a wide range of bioprocess contexts.

Meta

Domain
Manufacturing & Bioprocessing
Subdomain
AI-Driven Manufacturing Intelligence
Software type(s)
Computational Engine
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
PharmaBiotechAgricultural Biotech
Development stage(s)
ManufacturingPreclinical / Pre-MarketResearch & Discovery
Target user(s)
Lab Manager / Core Facility ManagerResearch ScientistAutomation Engineer
Tag(s)
Uses AI