Choosing a data annotation company is a procurement decision with technical, financial, and compliance consequences. The decision frameworks most US AI teams use are either too thin (price comparison and a logo check) or too generic (a 100-criteria spreadsheet that nobody actually scores). This guide provides the middle path: a procurement-grade 25-point evaluation framework, a […]

US AI teams outsource data annotation for one reason that matters and several that do not. The reason that matters is bandwidth: building production-grade AI requires more labeled data than any in-house team can produce on its own timeline. The reasons that do not matter are headlines about cost arbitrage, claims of 99.99% accuracy, or […]