This startup develops an AI and synthetic biology platform to optimize industrial algae production. They use machine learning and synthetic biology to cultivate purpose-built algae strains at scale, accelerating the bio-economy's sustainable transition.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial biomanufacturing processes often struggle with inconsistent yields and high operational costs due to the complex interplay of biological and environmental factors. Optimizing these processes requires extensive data analysis and experimentation, which can be time-consuming and resource-intensive. Existing methods often fail to fully capture the potential of microalgae strains for producing valuable products at scale.
Solution
PhycoWorks offers an AI-driven synthetic biology platform that optimizes algae-based production for various industrial applications. The platform leverages machine learning and systems biology to accelerate strain development and improve bioprocess efficiency. By integrating IoT sensor data, analytical data, and process data, PhycoWorks provides biomanufacturers with a comprehensive view of their operations. The platform delivers daily optimal recommendations per reactor and forecasts productivity, enabling users to proactively adjust parameters and maximize output.
Target Audience
The primary target audience includes biomanufacturers in the pharmaceutical, biomedical, personal care, food & beverage, and packaging industries, as well as companies exploring algae-based production.
Features
- AI-powered platform for optimizing algae-based biomanufacturing processes
- Strain characterization service to unlock the potential of microalgae strains
- Integration of IoT sensor, analytical, satellite, and process data for enhanced quality and yield control
- Data-driven models to chart and harness optimization landscapes with precision
- Systems biology approach to untangle the complexities of biological systems
- Engineered platform strains with precision and stability
- Automation of routine tasks to double expert productivity and save employee time
- Predictive analytics to forecast productivity and enable proactive adjustments