Agent Bricks
6 use cases using this technology
GoGuardian: Safer schools, empowered teachers, thriving students
GoGuardian
GoGuardian, which powers safe, focused learning for half of U.S. K-12 students, migrated its ML infrastructure to Databricks to manage billions of daily inferences for web filtering, classroom management and harm prevention while maintaining a PII-free, COPPA/FERPA-compliant data environment. Using Delta Lake, Lakeflow, Unity Catalog, MLflow and Databricks Model Serving, GoGuardian achieved up to 50% reduction in machine learning operational costs, 90% operational cost savings with its Delphi website classification model, and a 62% reduction in inappropriate device use among students. AI-driven prioritization also cut the volume of records requiring human review for high-risk content by over 95%, from 1 million to 35,000-45,000.
Furniture.com Transforms Online Search with Databricks
Furniture.com
Furniture.com unifies over 60 retail partners and 1.5 million SKUs on the Databricks Data + AI Platform, using Delta Lake, MLflow and Unity Catalog to run its ML lifecycle. Its Find It AI product-discovery tool uses generative AI to create a synthetic image representing shopper intent, then matches it against the product catalog for image-based search. A Collections model uses LLMs to automatically group related products, finding more than 16,000 collections across 50+ partners with no human intervention. Users who interact with Find It AI show a click-through rate 8x higher than baseline and a return rate 3.2x higher than baseline.
Reinventing mobile banking with ML
HSBC
HSBC used Azure Databricks and Delta Lake to unify data analytics across data engineering, data science and analysts for its PayMe mobile payments app, applying NLP and machine learning for fraud detection, personalization and recommendations. Data processing for complex analytics dropped from 6 hours to 6 seconds, 14 read replica databases were consolidated into one Delta Lake, and app engagement improved 4.5x.
E.ON Powers Better Decision-Making with Databricks Apps
E.ON
E.ON, one of Europe's largest energy companies, used Databricks Apps to deploy internal BI applications in one to two minutes. E.ON is working on analyzing 500-600 public ChargePoint operator contracts using a GenAI-powered chatbot that extracts contract details such as pricing and tariffs via natural language queries. Interactive dashboards built with Databricks Apps give E.ON's health and safety team real-time incident data and insights, including maps of incident locations and weather conditions, to identify patterns and mitigate risk in high-voltage field work. 1,500 employees now rely on Databricks for BI dashboards and insights.
Lippert Improves Customer Support with GenAI
Lippert
Lippert, a $3.8 billion global manufacturer of components for RV, marine and automotive brands, used Databricks and Agent Bricks to consolidate fragmented data into a single lakehouse and deploy AI agents for customer support. An AI assistant trained on product manuals, technical case history and field-expert videos surfaces troubleshooting guidance for call center agents in real time, cutting new-agent ramp time from six months to four weeks (an 85% reduction). Using Agent Bricks' evaluation framework and synthetic data, model accuracy for the support agent improved from 33% to 84% within weeks. AI also analyzes thousands of support calls daily for coaching and quality scoring (versus a prior manual sample of 100 calls/month) and automates call summarization into Salesforce. The initiative is expected to save millions per year and reclaim hundreds of thousands of hours, with new agents planned for HR, warranty and supply chain.
DXC Technology cuts platform TCO 30% and builds 11 AI agents using Databricks Data + AI Platform
DXC Technology
DXC Technology, a global IT services company with fragmented systems from years of mergers, used the Databricks Data + AI Platform (Delta Lake, Unity Catalog, MLflow 3.0, and the Genie conversational assistant) to unify data across sales, HR, finance and project management. DXC built 11 AI agents (3 in production, 8 in pilot or development), reduced time-to-insight from months to days, and validated a 30% reduction in platform total cost of ownership.