From a first look at your own images through to a validated model running inside your pipeline.
We run our models on a sample of your own acquisitions and report what they recover, benchmarked against whatever ground truth you already have. A clear read on fit before anything is committed.
Cell lines, markers, instruments and acquisition settings differ. We adapt and retrain on your data so the model reflects the assay you actually run.
Deployment downstream of your existing imaging workflow, with outputs in the formats your analysis already consumes. Your acquisition and instruments stay as they are.
Benchmarking against matched ground truth, agreement analysis, and the documentation needed to place a readout in a preclinical evidence package.
We start from the decision you need the data to support, then work backwards to the readout and the acquisition it requires.
A bounded study on your images with a defined success criterion agreed in advance, so the outcome is interpretable either way.
Integration, handover and support, with retraining as your assays and instruments evolve.
We work under clear data and intellectual-property terms agreed before any transfer. Your acquisitions are used for your project unless you explicitly agree otherwise, and we are equally careful with the terms attached to our own development data.
We would be glad to walk you through either tool on your own images and discuss how it fits your pipeline.
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