Yet, acquiring this data at the necessary scale remains a challenge. AI companies developing frontier models need exponentially more data to stay competitive, but the current options for sourcing it are costly, fragmented, and difficult to scale. Training the next generation of AI requires petabytes of high-quality data, yet existing solutions cannot efficiently sustain data retrieval at this magnitude.

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