Prototype in silicon. Ship in steel.
Simulate, infer and decide in code, so every build, batch and trial you run is the right one. Every tool here was built for our in-house R&D line and proved itself on our own work before we licensed it to yours. Try any of them on your data in a free consultation.
InfrastructureAudit trail, built in
QC from understanding
Built in order: the right physics models first, the right measurements next, learned stand-ins on top, and the data infrastructure underneath to store, monitor and act on all of it. Run continuously, this gives you the two things quality control needs: an answer to whether the current run is in control, and a steer toward the next, most useful one — in production, and just as well during research.
Answers: is this run in control, and what should we run next? For production lines, pilot plants and autonomous labs in materials, semiconductors, photovoltaics and nanomaterials that want continuous observability, an audit trail and a path toward compliance. Built first for our own perovskite-PV and nanoparticle research, and running there today.
Software1 spectrum → size & shape
Optical materials characterisation from one spectrum
Size and shape distribution of nanoparticles, and other optical material properties, from a single UV-Vis-NIR or Raman spectrum. In development: the same answer from single-particle tracking, the Brownian motion of particles under a laser (also called nanoparticle tracking analysis).
Answers: what size and shape distribution produced this spectrum? For nanoparticle and nanomaterial producers, catalysis, lateral-flow and other diagnostics using gold nanoparticles, inks and coatings, QC labs and instrument makers. Grew out of our own nanoparticle-characterisation research (see Results).
Software~1,000× per evaluation
Device simulation built for design sweeps, and its millisecond stand-in
An independent device simulator built for thousands of runs in a row, plus a learned stand-in that answers in about a millisecond.
Answers: which device parameters explain this J–V curve, and what happens across a sweep? For solar cells (perovskite, organic, tandem), LEDs and OLED displays, photodetectors and image sensors, battery and electrochemical cells, and autonomous labs. Built for our own perovskite-PV simulation work (see Results), then generalised.
Software230×
Spectroscopy fitting that keeps up with the measurement
Steady-state fit of transient-absorption and other pump-probe spectra, hundreds of times faster than cycle-by-cycle; the same inference engine for Raman and UV-Vis.
Answers: which rate constants fit this transient-absorption dataset, at the pace of the measurement? For photovoltaics, photocatalysis, OLED and photochemistry labs, Raman and UV-Vis users, spectrometer makers and autonomous labs. Built for our own transient-absorption work (see Results).
Software1 day to first explorer
Large measurement data, explorable in a day
An interactive explorer for large measurement datasets, on site or in the cloud: hyperspectral cameras first, other imaging and spectral streams easily added.
Answers: what is in these terabytes of camera files, today? For labs producing more data than they can look at, instrument makers and imaging-heavy QC. Built first as our own hyperspectral explorer (see Results).
Prices and licence terms on request.