Your CEO wants AI. Your brand is launching. DataKitchen engineers both at once.

We build commercial data platforms for pharma launches at a flat monthly rate. One to three engineers do the work, because AI writes the tests, watches the pipelines, and triages failures. That is how Karuna's Cobenfy launch ran on 1.5 of our engineers. Three of our pharma customers were later acquired by BMS and Merck for nearly $100 billion combined. At a small pharma company, we cut costs by two-thirds.

We also engineer the context layer that makes Snowflake Cortex and Databricks Genie answer real pharma questions rather than hallucinate: the business definitions, payer hierarchy, and IQVIA freshness tracking that commercial pharma data lacks.

The platform is ready six months before launch. We run it through year one and transfer to your team when you say. Open source software, your cloud, no exit fees.

Stop by if a brand is launching in the next 12 to 24 months, your CFO is asking why the current platform costs too much, or your CEO wants AI.