From the first test to operation at scale: working tracks, a 5-step path to get to know us before deciding, and training programs for your team.
For each area, the techniques and expertise we apply.
Each track has its own scope, team and governance. You can start in one and move on to another.
R&D for problems that conventional methods cannot solve.
Complete hardware, software and model systems, running in the client’s routine.
Analytical capacity built inside the institution, to last beyond the contract.
Teams able to use, question and evolve the technology they adopt.
We start from the decision you need to make. Each stage has a question, a deliverable and criteria for deciding the next step. The path adjusts to the maturity of your challenge.
Which problem is worth solving?
Does the analysis reveal the difference that matters?
Does the result hold up against real variability?
How do we make the technology work in your operation?
How do we keep the knowledge useful over time?
You follow the evidence and take part in the decisions. The project moves forward when the results support the next step. If the proof of concept shows the technology does not solve your problem, we say so and stop there.
Talk about the first stepMachine learning models for chemical data, with leakage-free validation and critical reading of results.
Experimental design, preprocessing, classification and multivariate calibration.
Deconvolution, alignment and identification of compounds, with a handbook and more than nine interactive simulators of the instrument and software.
From acquisition to the routine model: authentication, quantification and quality control.
Computer vision, multispectral and hyperspectral imaging applied to grains, foods and materials.
Tell us the decision you need to make. We reply with the recommended path.