Bioqore provides an AI software layer that unifies bioprocess data, intelligent modeling, and automated lab execution into a closed-loop system. This platform accelerates biomanufacturing development by generating ML-guided experiment designs and continuously optimizing process parameters. The result is shortened development cycles, improved yields, and reduced risk during scale-up for biotherapeutic and synthetic biology teams.
Funding
Funding not disclosed
Founders
Product
Problem
Biomanufacturing R&D faces challenges in scaling due to inefficient bioprocesses and reliance on trial-and-error experimentation. Existing tools often focus on post-run data analysis or small-scale chemistry, failing to address issues at the critical upstream stage of cell or microbe growth. This leads to wasted resources and delays in bringing life-changing biologics to market.
Solution
Bioqore offers a no-code machine-learning copilot that optimizes biomanufacturing R&D by guiding scientists on optimal conditions for fermentation or cell-culture runs. The platform proactively adjusts parameters like feed, pH, and temperature in real-time during culture growth, preventing bad batches and reducing the need for extensive pilot runs. Bioqore's AI agent, Voyager, works without historical data, ensuring rapid deployment, enhanced data security, and greater versatility. The software is installed within the user's cloud account or on their servers, maintaining data control and security. By transforming biomanufacturing into a predictable science, Bioqore aims to accelerate discoveries and make biologics more accessible.
Target Audience
The primary target audience includes scientists and researchers in the biomanufacturing industry, particularly those involved in cell culture, therapeutics, and food production scale-up.
Features
- No-code machine learning copilot for biomanufacturing process optimization
- Real-time control of feed, pH, and temperature during cell or microbe growth
- AI agent (Voyager) that operates without historical data for rapid deployment and enhanced data security
- On-premise or cloud-based installation within the user's environment
- Compatibility with messy data, including missing sensors and CSV files
- Support for plant-based and precision-fermentation proteins
- Audit-ready features with time-stamped changes for regulatory compliance (21 CFR Part 11 e-signatures)
- Data anonymization to protect sensitive information