Cerrato Biosciences provides a real-time monitoring platform for biopharmaceutical manufacturing, combining proprietary plug-and-play sensors with pretrained machine learning software. The system continuously measures critical quality attributes throughout the production process, enabling automated feedback loops that replace slow, destructive offline chromatography. This unified hardware-software approach supports both drug development and manufacturing stages.
Funding
Funding not disclosed
Founders
Product
Problem
Biopharmaceutical drug quality is still measured using offline chromatography, a slow, destructive method that requires manual sampling runs and expensive GMP assay fees. This approach is fundamentally incompatible with automation, creating labor and cost burdens while leaving data scattered across QA, compliance, and production systems. The lack of real-time measurement makes it nearly impossible to automate bioprocesses or make timely production decisions.
Solution
Cerrato Biosciences builds the monitoring layer that makes biopharma automation possible by unifying drug development and manufacturing into a single intelligent system. The company offers a proprietary sensor that plugs into any stage of the bioprocess, measuring drug quality attributes in real time. A pretrained machine learning software layer predicts production outcomes and autonomously controls the process based on continuous sensor data. This combination provides continuous insight into critical quality attributes throughout the product life cycle, eliminating the need for offline sampling and enabling automated feedback loops. The system is designed as a compact, plug-and-play solution that integrates with existing bioprocess infrastructure.
Target Audience
Primary customers are biopharmaceutical manufacturers and drug developers who need real-time quality monitoring and process automation across their production workflows.
Features
- Proprietary plug-and-play sensor that measures drug quality attributes in real time at any process stage
- Pretrained machine learning software that predicts production outcomes and enables autonomous process control
- Continuous monitoring of critical quality attributes throughout the entire product life cycle
- Unified hardware-software system that bridges drug development and manufacturing stages
- Replaces offline chromatography with real-time, non-destructive measurement
- Automated feedback loops that reduce manual sampling runs and GMP assay costs