Before the models,
the machinery.

Every AI application — from a customer-service bot to a drug-discovery model — depends on a stack that begins below the model. A vector database decides what context the model sees. A feature store decides what signals the model receives. An orchestration layer decides when and how pipelines run. A model-serving framework decides how predictions reach production. Flintrock invests at the bottom of this stack, where durable value compounds.