Zoe Yu Tung Law
CEO/Co-founder
New Wave Biotech
Bioprocess Foresight utilizes AI-powered simulation and techno-economic analysis to optimize downstream processing for precision fermentation alt protein companies. This technology enables firms to reduce costs, accelerate R&D, and enhance decision-making by dynamically evaluating the economic and sustainability impacts of various bioprocessing scenarios.
- Artificial Intelligence
- Data & Analytics
- Biotechnology
- Software Only
Updated 7 months ago
Funding
Raised to date
$1.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Precision fermentation and alternative protein companies face challenges in optimizing downstream processing, which can be complex and costly. Traditional methods for process design and techno-economic analysis are often time-consuming and lack the dynamic capabilities needed to assess various scenarios. This can hinder R&D efforts, delay commercialization, and impact the economic and sustainability of bioprocesses.
Solution
Bioprocess Foresight offers an AI-powered simulation platform that enables biomanufacturing companies to optimize their downstream processing. The platform allows users to model and simulate various bioprocessing scenarios, dynamically evaluating their economic and sustainability impacts. By leveraging historical data and AI algorithms, the platform provides insights into key levers for process improvement, enabling faster R&D cycles and better decision-making. The technology facilitates virtual testing of process parameters, identification of cost-saving opportunities, and alignment of technical and commercial strategies.
Target Audience
The primary target audience includes alternative protein and biomanufacturing companies, processing technology companies, and biotech developers seeking to optimize bioprocesses, reduce costs, and accelerate R&D.
Features
- AI-powered process simulation for downstream processing and end-to-end process modeling
- Dynamic techno-economic analysis (TEA) to identify key levers for change and focus R&D efforts
- Ability to upload experimental data to continuously improve model predictions
- Sensitivity analysis and process comparison functions for actionable insights
- Visualization tools to navigate interrelated process options and assess the impact of scale
- Capability to model the impact of technology on customer's processes, costs, and sustainability