Evidence based nutrition®
Industry proven, peer reviewed and certified by ISO.
NIR - DEVELOP | TRAIN | DEPLOY
Elevate your data analysis with BioFluxe, the ultimate tool for high precision NIR modelling. Powered by deep learning technology developed Orugen, BioFluxe delivers unrivalled accurate and precision on models developed using the system. Its platform agnostic nature makes it a flexible choice for custom model development, enabling users to create customized solutions for their data.
BioFluxe - Now using Maxwell v1.3
Maximize the power of your data with Maxwell, a top-tier insight engine known for its advanced data analytics functionalities. Utilizing Maxwell for data analytics within BioFluxe offers a plethora of benefits for businesses seeking to harness the power of NIR and metadata. The insight engine of Maxwell enables companies to delve deep into their data, extracting valuable insights that can drive strategic decision-making and innovation. The associative effects analysis allows for discovery of patterns and correlations that might have been overlooked with traditional methods, thereby improving the accuracy and efficiency of data analytics processes. By leveraging Maxwell in BioFluxe analytics, organizations can unlock valuable trends and relationships within their data, leading to informed business strategies and improved operational efficiency.
FAQs
Can I use any NIR?
BioFluxe is platform agnostic and can use data from BlueSun, Foss, Bruker and handhelds.
How do I access Maxwell Ai?
Contact Fermentrics for a demo and their team will explain the process and set up an account. Developed models can be accessed through the BioFluxe datalake or directly via API.
What if my data isn’t perfect?
Maxwell has the ability to understand patterns in spectra that is damaged (noisy, sensor issues or data acquisition issues).
How much data do I need?
The team will work with you to address any data requirements for your task. Maxwell has the ability to isolate deficiencies in model(s), how much data is required to fix them, and what type of data.
How do I explore a relationship between data (ex: TMR and Manure)?
Maxwell has the ability to build hybrid models (associative effect) by selecting components from two different spectra and synthesizing synthetic spectra to derive an answer.
How fast is training?
Once compiled, training can take as little as 2 hours.
Recent work
Digestibility & GHG (Dairy | Beef): Built the linkage between NIR, Digestibility and GHG measurements.
Diet Location: Built the linkages between diet and manure in the 11 diet regions of North America. Diet or Manure could explain each other and the probability the diet came from 1 of 11 regions in North America.
Equine DIgestibiity (Total Tract): Built the linkage between NIR, Digestibility ,and GHG measurements.