Slator's Anna Wyndham joins Florian on the pod to discuss key highlights from the Slator Data-for-AI Market Report, which sizes the global market at USD 9.3bn and examines the ecosystem supplying the data needed to train, adapt, align, evaluate, and deploy AI systems.

Anna explains how the market has evolved far beyond traditional data labeling. While annotation and large-scale training data remain important, she argues that the market’s focus has shifted toward helping organizations deploy AI safely and effectively in real-world settings.

Anna highlights the growing importance of “deployment data”, data used to adapt models for specific domains, align behavior with policies, conduct adversarial testing, and evaluate performance. She notes that these activities increasingly rely on subject-matter experts, creating demand for professionals such as physicians, lawyers, engineers, and financial specialists.

The discussion also explores how frontier AI labs, enterprises, and sovereign AI initiatives are driving demand. Anna shares that buyers increasingly need trusted providers capable of sourcing expert talent, scaling rapidly, and maintaining rigorous governance around data provenance and quality.

For language solutions integrators (LSIs), Anna sees both opportunity and challenge. Existing strengths in multilingual operations and workforce management provide a natural advantage, but success requires new capabilities, including expertise in machine learning workflows and AI evaluation.