It is easy
1. send your NIR data (we do not collect, share or sell your data)
2. receive your optimal model blueprint 3. build it, validate it, use it
We have a Chemometric software not to do chemometrics,
we have the solution to build an optimal modelfor your data so you can get better NIR measurement results.
So we don’t name it a “Chemometric Software”.
It’s a service named, as that what it delivers, a Calibration Model.
It gives you an optimal chemometric model for your NIR data.
That is what you want to achieve.
So don’t bother about Chemometrics and endless helpless possibilities
and spend your time with clicking and waiting for a chemometric software,
when you can get an optimal model for your data as a service!
There is no lock-in.
Because there is no software to install.
There is no black-box.
Because the model is delivered as a detailed and complete blueprint in human readable form.
You stay independent.
Because you can always choose:
- You can still do it as you have done it before.
- You will experience that with the service you will get the better models faster and is inexpensive.
Let’s have a try
please contact us, so we can help you!
Calibration modeling is a complex and very important part of NIR spectroscopy, especially for quantitative analysis. If the model is badly designed the best instrument precision and highest data quality does not help getting good and robust measurement results. And NIR Spectroscopy requires periodically recalibration and validation.
How are NIR models built today?
In a typical usage in industry, a single person is responsible to develop the models (see survey). He or she uses a Chemometric software that has a click-and-wait working process to adjust all the possible settings for the used algorithms in dialogs and wait for calculations and graphics and then to think about the next modeling steps and the time is limited to do so. Do we expect to find the best use-able or optimal model that way? How to develop near-infrared spectroscopy calibrations in the 21st Century?
Why not put all the knowledge a good model builder is using into software and let the machines do the possibilities of calculations and presenting the result? Designing the software that way, that the domain knowledge is built-in, not just only the algorithms for machine learning and make it possible to scale the calculations to multi-core computers and up to cloud servers. Extend the Chemometric Software with the Domain Knowledge and make as much computer power available as needed.
As it was since the beginning
User → Chemometric Software → one Computer → some results to choose from
==> User’stime needed to click-and-wait for creating results
User → (Domain Knowledge → automatized Chemometric Software) → many Computers → the best models
==> User’s time used to study the best modelsandreasoning about his product / process
Note that the “Domain Knowledge” here does perfectly support the User’s product and process knowledge to get the things done right and efficient.
Scaling at three layers
Knowledge : use the domain knowledge to drive the Chemometric Software
Chemometric Software : support many machine learning algorithms and data pre-processings and make it automatic
Computer : support multi-core calculations and scale it to the cloud
The hard part in doing this, is of course the aggregation of the needed domain knowledge and transform it into software. The Domain Knowledge for building Chemometric NIR Spectroscopic models is well known and it’s huge and spreads multiple disciplines. Knowledge-driven software for computing helps to find the gold needle in the haystacks. It’s all about scaling that makes it possible. See Proof of Concept.
NIR users can get help working more efficient and getting better models.
New types of applications for NIR can be discovered.
Evaluation of NIR Applications to replace conventional analytical methods.
Hopeless calibrations development efforts can be re-started.
Higher model accuracy and robustness can be delivered.
Automate the experimental data part of your application study.
Person independent optimization will show new solutions, because it’s not limited by a single mindset => combining all the aggregated knowledge and its combinations.
Software independent optimization will show new solutions, because none of vendor specific limitations and missing algorithms are present => combining all open available algorithms and there permutations.
Computing service is included.
Contact us for trial
Your NIR data is modeled by thousands of different useful calibration models and you get the best of them! That was not possible before in such a easy and fast way! See How it works
Services and software for data analysis and analytical modeling for spectroscopy.
This NIR calibration service provides the custom development of optimal quantitative NIR calibration models based on your collected NIR and reference data for vendor independent full range NIR spectrometer analyzers (NIR = Near Infra Red spectroscopy) based on chemometric multivariate methods like Partial Least Square Regression (PLS, PLSR) and Principal Component Regression (PCR).
The key points
The NIR calibration model is decisive for the analysis accuracy.
Did you find the time for the right to designate to read, to study, to incorporate them into practice?
Do you have all this knowledge at your calibration developments always present, that you consider anything important, the statistical results, interpret them correctly, analyze the graphs accurately and apply all the tips & tricks of optimizing correctly?
We have the solution for you!
We’ll help you to create and optimize your calibrations. You retain complete control. You have your calibration, with our help, himself under control.
You can view the complete calibration of all the settings down to the smallest detail precisely documented and visualized.
You can also make any changes in the settings. This means you remain independent and have the control in your hand.
We will help you for the time-consuming and knowledge-intensive part.
You get the best calibration solution and decide for yourself