Optimise Downstream Processing with 92% Fewer Experiments
Bioprocess Foresight simulates thousands of downstream processing scenarios — predicting yield, unit economics, and sustainability impact of the full process — so every experiment you run is more targeted, you need fewer rounds, and you get to the right answer faster.
8.6X yield improvement
55% unit cost reduction
1.4–4X more accurate than industry average
<7% prediction error from a single calibration run
WORKING WITH
BENEFITS
Cheaper and faster R&D
Grow competitive advantage
Data-driven decision making
6.5% prediction error from a single calibration run
Validated our centrifugation model at pilot scale (350–700L) with Centre for Process Innovation (CPI), the UK's national innovation centre for process industries.
This achieved 1.4–4X greater accuracy than industry average and leading to ongoing collaboration on challenging R&D projects.
Proven Results
8.6X yield improvement, 55% cost reduction
4 cycles of filtration optimisation with Multus, each simulating 10,000+ scenarios and feeding experimental results back into the model. 92% fewer experiments than traditional DoE.
"With New Wave we have been able to create a 8.6X increase in yield and speed up R&D within a year, which is impressive."
— Brandon Ma, Senior Scientist, Multus
4 optimised scenarios with cost & sustainability
Simulated thousands of production routes for plant-based collagen, benchmarking techno-economic performance and environmental impact across sourcing, transport, and production locations.
"NWB's platform has made it much easier for us to weigh up process and sourcing options by putting sustainability and cost side by side."
— Fei Luo PhD, Co-Founder & CEO, Liven
FEATURED IN
Empowering innovation across the bioeconomy
Biotech developers
Optimise bioprocesses to scale quicker and cheaper, and leverage historical data to power R&D
Equipment companies
Show customers the impact of your technology and accelerate application development
Supported By
_edited.png)
