Scientific & lab data
For R&D teams, laboratories and instrument companies that have more measurement data than analysis capacity — in biotech, materials science and analytical instrumentation.
Most ML consultants treat your data as a table of numbers. MatnikAI starts from the measurement: the instrument response, the noise, the physics that generated the signal. That is what separates a model that looks right from one that is right.
Background: deep expertise in physical chemistry — spectroscopy and the photophysics of single molecules and semiconductor nanocrystals — combined with hands-on machine-learning engineering.
What we do
- Feasibility study — can ML answer your question with the data you already have?
- Analysis pipelines — from raw instrument files to validated results your team can run.
- Method development — statistically sound estimators for noisy, low-count or time-resolved data.
- Expert review — a second opinion on existing models, analyses or vendor claims.
Typical data
Optical and vibrational spectroscopy, fluorescence and time-resolved measurements (TCSPC, photon statistics), microscopy and imaging, single-molecule and single-particle data, and instrument logs.