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In the age of large language models and generative AI, context is the new currency. While foundation models possess broad general knowledge, they lack the specific, up-to-date, proprietary context that enterprises need to make accurate decisions. This gap—between general AI capability and domain-specific intelligence—creates one of the most significant business opportunities of the decade: Context as a Service (CaaS). CaaS is the business of collecting, curating, packaging, and selling contextual data that makes AI models smarter, more accurate, and more valuable for specific business use cases. It is the data brokerage model reimagined for the AI era—and it is projected to be a $50+ billion market by 2028.
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