Ask CFM what changed after a deviation, whether a batch stayed within approved limits, or which condition performed best.
Built for biomanufacturing, the our model brings experiment plans, SOPs, batch records, deviations, and past decisions into one answer. It links each answer back to the source records, so scientists can decide what to do next without rebuilding the process history by hand—and help bring therapies to patients sooner.
Cellpose-SAM is a powerful foundation model that is characterized by its ability to identify and segment cellular structures in native imaging resolution. However, deployment of such cell segmentation models can be limited by its compute power and compressing them to fit on low-power hardware is not trivial. We've managed to achieve compression by 6x and still keep its notable performance, making Cellpose-SAM deployable directly into your microscope.
Capicú Edge ML Inference (CEMI) turns existing instruments into responsive, observable systems. We've combined specialized models, low-power hardware, and remote monitoring in one system. Capicú supports vision, spectral, waveform, and emerging language architectures across production and QC.
