Recognition under field conditions. Search across millions of images. Recommendations tied to live evidence. Each record describes the problem, our contribution, and what the results establish.
Recognize near-identical products reliably enough for the shelf decision downstream.
The vision system behind a shelf platform used by global brands, judged by what a mistake costs the store rather than by an average score.
Read the casePreserve cinematography-aware meaning while ingestion, retrieval, infrastructure, and dependencies change at scale.
Retrieval that understands framing, lighting and lens, not just pixels, so a filmmaker can describe a shot and get it back in under a second.
Read the caseA shopper asks half a question, the catalogue changed this morning, and the answer still has to be right.
Controlled recommendation, live catalogue retrieval, evaluation, speed and memory — on kiosks that serve shoppers all day, with no staff.
Read the caseAllow intelligent editing without permitting a model to write fragile timeline state directly.
A typed, validated boundary between a model proposal and professional timeline mutation — with uncertainty preserved when retrieval could miss useful footage.
Read the caseA research collaboration with Edwards Lifesciences, with no production deployment or clinical-performance claim.
Make ultrasound usable for research without removing the diagnostic evidence the research depended on.
Research across privacy-aware cardiac-ultrasound preparation, weak-supervision experiments, and an independent EchoNet-Dynamic reimplementation.
Read the caseTurning difficult government documents into structured, source-linked legal data. An engineering initiative with incomplete human proofreading; official documents remain authoritative.
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