Each product began with a problem we could not stop thinking about. We built what was missing — for clinicians, for data scientists, for ML engineers, for flight crews — and refined it in production.
A full-system pipeline for fundus imagery — from raw retinal photograph to clinical-grade diagnosis. HorusVue handles biomedical marker detection, image preprocessing, semantic segmentation, and trained-model disease classification in one coherent system.
Built with the rigour ophthalmology and clinical research require — auditable, explainable, and engineered to fit the workflows clinicians already have.
Explore HorusVue →An interactive workbench for the people who actually build datasets. ALEX gives ML teams a single environment to build, clean, refine, analyse, and verify datasets — and to maintain records of many datasets at once, or compose entirely new ones from existing sources.
Dataset work is most of the job. ALEX treats it that way.
Explore ALEX →A modular node-based workspace for designing machine learning pipelines visually — verifying functionality and compatibility before a single training run begins. When a pipeline is ready, RIVER writes the architecture code for you.
Think of it as a clean room for ML architecture — separate the design problem from the production problem.
Explore RIVER →A mobile, real-time translation device built for aviation — designed specifically for mixed-language crew operations where communication accuracy is a safety constraint, not a convenience.
TIC is what general-purpose translation cannot be: domain-trained on aviation phraseology, calibrated for cockpit acoustics, and engineered for situations that do not permit a retry.
Explore TIC →Our products ship as deployed software or as the basis of a custom engagement. We work with a small number of enterprise teams at a time.
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