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Teams building AI apps are paying a tax. See how Superhuman, Ensemble Health, IntentHQ, YipitData, Quantum Capital and Replit customers eliminated it with Databricks Lakebase.
Across leading tech organizations building AI-native apps, the primary constraint has shifted from model capability to the underlying data architecture, and specifically, data pipelines. The requirements of AI systems to access real-time, stateful context for agents and low marginal cost for rapid, experimental development have exposed the critical flaw in traditional, separated data architectures.