top of page
New Wave Biotech Dec 2023 Template_edited.jpg

Downstream Process Optimisation

Accelerate your path to viability by automatically testing thousands of processes in-silico, focus experimentation on the highest potential ones and continuously improve as data is uploaded.

Icon of a stopwatch and speed stripes

CHEAPER & FASTER R&D

By focusing experiments
on the best processes

A bar grap with an arrow showing numbers going up

BOOST PRODUCTION

By optimising for higher product recovery & quality

Icon of coins with dollar signs, and little arrows above it

REDUCE UNIT COSTS

Optimise process for end-to-end process economics

Dynamic icon

REINFORCE ADVANTAGE

Leverage historical data to drive new R&D projects

3 happy people in lab coats doing an experiment
CASE STUDY

How we achieved 55% cost reduction for Multus

“With New Wave we have been able to create a 8X increase in yield and speed up R&D within a year, which is impressive. “

- Brandon Ma, Senior Scientist

Multus Biotechnology logo

Quicker and cheaper R&D with AI Simulation

With over one trillion possible parameter combinations per processes, optimising bioprocesses is complex and involves navigating a web of interconnected variables.

 

The traditional way: Slow, expensive, manual & inefficient

Bioprocess optimisation is generally done through cycles of  planning, conducting experiments , analysing, and interpreting controlled tests on a limited number of factors each time.

​

This is incredibly expensive as the average cost for conducting an experiment typically ranges between $10k-100k, and scaling from lab to market takes between 3-10 years. Understanding the commercial and sustainability tradeoffs of each option is also slow and expensive - the cost of just one Techno Economic Analysis (TEA) report ranges between $20k - 40k and takes months to complete.

​

Our way: Instantly test 1000s of processes virtually

New Wave Biotech accelerates biomanufacturing with AI-powered Bioprocess Simulation Software, providing tools to companies and scientists to virtually explore experiments, compare scenarios, optimise processes and leverage their data to build competitive advantage.

​

Our platform's AI-powered bioprocess simulation predicts quantified output, costs and sustainability impact and improves as it learns from empirical-data, enabling you to foresee the impact of decisions.

​

Meanwhile our in-house optimisation engine automatically simulates and compares tens of thousands of scenarios, enabling you to navigating the vast landscape of possibilities and identify the process options with the highest potential. This allows you to focus your valuable experimentation capacity where it will yield the most returns.​

​

As experimental data is used to train your models for improved predictions, it enables you to leverage historical data to drive every new R&D project in your organisation.

Diagram comparing a traditional bioprocess optimisation process to a more efficient process with AI Bioprocess Simulation

Experience the power of AI Bioprocess Simulation now

Get in touch and see how AI-powered insights can transform your bioprocess development.

bottom of page