Emergent Methods is a computational science company focused on applied machine learning for real-time adaptive modeling of dynamic systems.
We develop open-source software designed to support a wide variety of applications, such as financial market forecasting, building automation, cyber security threat identification, and meteorological nowcasting.
We provide scientifically sound data handling tools and innovative algorithmic techniques that allow our users to design their own machine learning workflows and promote reproducible results.
Our Mission
The driving force behind Emergent Methods is to provide the tools necessary for exploring adaptive modeling of dynamic systems in real time.
We help scientists, companies, and machine learning enthusiasts conduct research or run projects with tools and systems that are customized to their needs.
Our Plan
Short-term
Execute large-scale experiments
Build centralized ML services
Build proprietary Building Automation plug-in
Mid-term
Build Flowdapt dashboard
Write research proposals
Build Cybersecurity plug-in prototype
Long-term
Consult for plug-in development
Distribute proprietary plug-ins
Perform research to improve performance
