Labelbox

Teams that need training data for an AI project, and want someone else to build, run and staff the labeling work, are the people Labelbox is made for.

Labelbox is an AI data platform that produces labeled, quality data at scale for machine learning and generative AI work, and it covers post-training alignment as part of that.

The company calls itself an AI data factory for building, operating and staffing AI data.

The claims are specific, though they come from the vendor.

Labelbox cites a 2X increase in data quality for document intelligence teams, a 35% improvement in model accuracy, and a 2x increase in model development speed.

It also says teams waste 2-3x less spend on quality data.

Treat those as case figures, not guarantees for your own project.

The selling point is breadth: Labelbox says it offers a fuller set of data solutions than other vendors, which matters if you would rather not stitch together separate tools for labeling, staffing and alignment.

It also fits developer and workflow teams that call it through an API.