A look at how we've helped teams take AI and software projects from idea to production.
A radiology team needed a second set of eyes on a growing image backlog. We trained, validated, and deployed a deep learning classifier that now flags cases for review before a radiologist opens them, cutting down the time spent on routine screening.
Staff were manually copying results out of scanned lab PDFs into structured reports. We built a pipeline that extracts, validates, and formats that data automatically, freeing the clinical team from the most repetitive part of their workflow.
A support team needed answers grounded in their own documentation, not a model's best guess. We built a retrieval-augmented chat assistant that cites the source it pulled from, so answers stay accurate as the documentation changes.