BioRaptor provides an AI-powered platform that harmonizes bioprocess data from multiple sources, enabling real-time monitoring and anomaly detection to enhance experimental outcomes. The platform reduces costs and accelerates the development of biopharmaceuticals and alternative proteins by optimizing processes and improving yield predictability.
Funding
$3M raised to dateRaised 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.
Founders
Product
Problem
Biopharmaceutical and alternative protein development are often hampered by inefficient bioprocesses, leading to increased costs and delayed time to market. Scientists struggle to extract actionable insights from the vast amounts of bioprocess data generated from multiple sources, hindering process optimization and yield predictability. Traditional data management solutions often lack the analytical tools needed to effectively monitor experiments in real-time and detect anomalies early.
Solution
BioRaptor offers an AI-powered platform that harmonizes bioprocess data from disparate sources, providing real-time monitoring and anomaly detection to optimize experimental outcomes. The platform streamlines data ingestion and harmonization, creating a single repository for all bioprocess data. Advanced software sensors and AI algorithms enable real-time monitoring of critical parameters, such as glucose consumption rate (GCR), oxygen transfer rate (OTR), and oxygen uptake rate (OUR). By leveraging machine learning, BioRaptor facilitates early detection of abnormalities, preventing experiment failures and maximizing insights. The platform also offers features like digital twins for virtual experiments and one-click report generation to enhance collaboration and accelerate data-driven decision-making.
Target Audience
BioRaptor is designed for biopharmaceutical, food tech, and biotechnology companies of all sizes, specifically targeting bioprocess and R&D teams involved in cell culture, fermentation, high-throughput screening, and upstream/downstream processing.
Features
- Centralized data repository that ingests and harmonizes data from multiple bioprocess sources
- Real-time monitoring of critical parameters with advanced software sensors
- AI-powered anomaly detection to prevent experiment failures
- Digital twin functionality for simulating virtual experiments
- Automated calculation of Glucose Consumption Rate (GCR), Oxygen Transfer Rate (OTR), and Oxygen Uptake Rate (OUR)
- One-click report generation for easy sharing of insights
- Plot builder feature to visualize correlations between various parameters
- AI-driven calculated expressions for custom calculations