From training data curation to algorithmic auditing, we break down the vendors helping enterprises build and deploy AI models.
As commercial applications of AI scale rapidly amid the generative AI boom, enterprises are looking to overhaul existing data management practices to become “AI first.”
Organizations are seeking best practices for sourcing data for AI, training AI models, monitoring model performance, and developing ethical solutions that comply with new regulations.
In the market map below, we identify 130+ companies across 12 different categories helping enterprises bring AI projects from start to finish.
While some aspects of AI development (e.g., data annotation) are maturing, others (e.g., algorithmic auditing) remain nascent.
Note: Our map includes private startups and recently exited companies. This market map is not exhaustive of the space.
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