Physics models and fits,
1,000× faster.
Fast physics models, Bayesian inference and AI, running in sync with your instruments.
Build the best in materials — from semiconductors and photovoltaics to nanomaterials.
Measured results
From our in-house R&D line.
Ready for yours.
a surrogate model answering in a millisecond what the simulator takes a second to compute. Design sweeps, fits, experiment planning: anything that asks the model thousands of times now runs at interactive speed.
transient-absorption spectroscopy fit, solve speed-up.
from raw hyperspectral camera files to a first explorer; a week to one that shows the state of every sample in an autonomous lab.
Who you are working with
Twelve years of AI in production.
Now applied to materials.
DataDrivenLab builds AI and simulation for autonomous labs and materials, from semiconductors and photovoltaics to nanomaterials: physics-based simulators and their millisecond stand-ins, Bayesian inference that turns measurements into decisions, and the pipelines that run them.
Bayesian inference at scale
Uncertainty you can act on, from lab spectra to a €120B balance sheet.
AI for vision, spectra and measurement
LiDAR, phone cameras, Raman and transient-absorption spectra all become physical quantities you can trust.
Built to run, built to hand over
Cloud pipelines moving terabytes a week, and code your team owns the day we hand over.
What you get
From lab bench to pilot plant to fab.
You want a better material, a sharper device, a process running at its peak, or a result that moves your field, in science or in engineering. Your measurements and your designs (UV-Vis and Raman spectra, camera feeds, X-ray, infrared, point clouds and 3D scans, electrical traces, process data, simulation output) hold more than you use today. Autonomous labs, instrument start-ups and materials teams — from semiconductors and photovoltaics to nanomaterials — turn that data into their next decision in hours, with validation that holds up to scrutiny and a methodology your scientists can follow.
Fast, monitored models running on your data, with observability tuned to the questions that matter for your product and your physics.
Know what to do next and why, act on it immediately, and follow progress together.
Turn your boldest target into a sequence of designs and experiments, each one a measured step closer.
A clear plan that turns your technical vision into milestones management can fund and follow.
Our method
Measurement in. Decision out.
Your feedback loop, yours to keep: measure, model, infer, design the next experiment. Every measurement you take holds the next decision.
Models built from the published physics, so every number has a meaning.
The measurements that actually settle the question, not just the easy ones.
Learned models that answer in milliseconds, so the loop keeps pace with the lab.
Pipelines that store, monitor and act on every run.
Run continuously, the loop tells you two things: whether this run is in control, and which experiment to run next.
How we can help
Three ways to work together.
Push your science and engineering to their full reach with data and AI.
Start with a free consultation.
Assessment
See what would make your work great. In one to two weeks you know where your biggest potential sits, with a ranked plan to reach it.
Sprint
Take one step change end to end: the right data, your critical step made fast, inference and dashboards, with the code in your hands.
Fractional lead
A senior scientific ML lead in your team one or two days a week, keeping your loop sharp and your roadmap ambitious.
Looking for a faster model or solver rather than a project? See Products.
Next step
Ask the bigger question.
What would you ask if every experiment had its answer by tomorrow? Start there. Your material, device or process follows. Picture what your science and engineering could reach when every measurement is answered the same day; the experiments follow from that question, and the loop that runs them stays yours.
Bring it to a free consultation. If we cannot help, we will say so.