Jobs at ApertureData

“We Manage Visual Data So Companies Can Make Machines Learn Better”. Improvements in Machine Learning (ML) have made it possible for businesses to extract rich insights from visual data (images, videos). Handling big-visual-data for ML requires storage and access methods that are designed with visual ML in mind. With the current off-the-shelf alternatives, ML engineers and data scientists are forced to glue data solutions not designed for visual data management. Capturing business value from data via ML comprises multiple steps (data collection, curation, training, etc) and is currently being addressed by multiple siloed solutions that, when integrated, result in an inefficient system. Given that each of the different steps interacts with data in one way or another, offering a unified and efficient way to interact with the data regardless of the stage reduces the complexity of ML pipelines as they scale. With our focus on the data side of ML deployments, ApertureData is well positioned to be the technical leader in addressing the next generation of challenges for ML based applications. ApertureData has recently won the NSF Small Business Innovation Research (Phase 1) grant in addition to angel investments to help realize the vision of a unified data backend for all stages of ML from edge to cloud.