Case Study: Circuitry.ai achieves 60–70% faster information retrieval with Databricks

Building smarter decision intelligence for manufacturers

Circuitry.ai, a GenAI startup focused on decision intelligence for manufacturers, needed a faster way to build and maintain retrieval augmented generation (RAG) chatbots. Its small technical team was slowed down by the complexity of managing and updating large volumes of proprietary customer data, which delayed development and made it harder to keep knowledge bases current.

With Databricks, Circuitry.ai used Delta Lake, Unity Catalog, MLflow, and Model Serving to streamline data management, governance, model training, and deployment. Databricks helped the company reduce information-search time by 60–70%, improving operational efficiency, customer experience, and employee productivity while enabling more accurate, customizable AI chatbots.

Circuitry.ai

Ashok Kartham

Founder and CEO