Watch the workflow
One workflow, shown clearly
A quick look at a tabular-data workflow, from raw data to trained model.
Clean data, train a model, and validate it, no code, nothing sent to the cloud. Built for health AI teams of any kind, not just academic labs.
A quick look at a tabular-data workflow, from raw data to trained model.
Speed, privacy, and skill each block teams with a real dataset from getting to a working model.
Even a simple model can take weeks once you count learning a library, debugging, and waiting on someone else's schedule. That's an efficiency problem, not a science problem.
Leading AutoML platforms are built cloud-first. For clinical, biomarker, and survey data, that's often not an option under IRB or HIPAA terms.
Plenty of people have a real dataset and a real question, just not the programming background most ML tools were built for.
Tabular and imaging workflows are live today. Signaling and NLP studios are in development.
Upload a spreadsheet, clean it, train a model, and validate it, all through a guided interface. No scripts.
Available nowClassification, segmentation, and detection on image sets and DICOM files.
Available nowBiosignals, omics, and time-series modeling workflows.
In developmentText classification, named entity recognition, and LLM fine-tuning workflows.
In developmentEvery workflow includes the same core toolkit, not just training.
Handle missing values, outliers, and formatting issues through a guided interface before you ever train a model.
Built-in charts and distributions help you understand your dataset before and after cleaning, no plotting library required.
Compare up to 8 models in parallel in a single session, so you can pick the best performer instead of training one at a time.
Every trained model is saved automatically. Host it locally, or upload and send it to a collaborator directly through the app.
Currently used at two of the top medical institutions in California, teams are training real models on real clinical datasets with Revise.
Choose Revise. AI should be simple. Create a machine learning model without writing a line of code, starting today.
Leave your info and I’ll reach out to schedule a brief walkthrough of the product, review your workflow, and identify the best next step.
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