We build machine learning models for NIR instruments, so you don't have to.
Sagitto Applies Machine Learning To InfraRed Spectroscopy Data.
Our team of experts has been building machine learning models for use with spectrometers for more than 10 years, for a wide range of customers. We work with high-end benchtop FT-NIR instruments all the way down to tiny chip-scale spectral sensors.
Benchmark Your Current Models.
Compare your current NIR or FTIR calibration models to ones created using the latest machine learning techniques. Sagitto's Calibration Benchmarking service will allow you to check if you have the best possible models.
Your Data, Your Models.
We have a simple philosophy. You own any machine learning multivariate models that we build using your data. That means that you determine who uses these models.
Data Cleaning and Model Building.
We not only build a suite of accurate multivariate data analysis models for you but if you wish we also take care of their ongoing management. We ensure that your multivariate regression models develop and grow with your business.
Prompt And Transparent Reporting.
We pride ourselves in providing our customers with prompt and transparent reporting. Each time that a multivariate analysis model is rebuilt we provide meaningful statistics to show how the latest model compares with its predecessors, with an assessment of its potential for further improvement.
Integration via API.
Sagitto provides an API to enable its customers to fully integrate their spectroscopy data and the resulting predictions, into their own computer systems.
Customers are thrilled with the machine learning models that we've built for them.
