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Databricks

Agent Bricks

Agent Bricks is Databricks' agent platform for building production-ready AI agents on enterprise data, providing multi-model routing (routing requests across models like GPT, Claude and Llama by cost, performance or availability through a single API), built-in evals (generating eval datasets and scoring outputs for quality, relevance and correctness), and secure data access (connecting agents to governed data with user-level permissions and no data duplication). Customer Flo Health reports Agent Bricks enabled it to double medical accuracy over standard commercial LLMs while meeting its internal standards for clinical accuracy, safety, privacy and security.

Official product page
58published use cases
13industries
11countries on record
Generative AI
top AI capability

Evidence mix: High 58 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

58 use cases

RetailAgentic AIConversational AI

Cafe24 Scales E-Commerce Growth With Data and AI

Cafe24, Korea's largest online shopping mall platform supporting more than 2 million brands, consolidated fragmented data (300+ GB of daily logs across 700+ tables) onto the Databricks Data + AI Platform to standardize KPIs and connect analytics directly to operational execution for its Cafe24 PRO service. Data flows through a medallion-architecture lakehouse governed by Unity Catalog, with Agent Bricks, Databricks' multi-agent AI framework, decomposing complex analytical tasks across specialized AI agents that collaborate on reasoning, analysis and execution for promotions, merchandising and marketplace operations. Business users access insights through BI dashboards and natural-language interfaces. Over a six-month period, brands using Cafe24 PRO saw a 24% increase in total revenue, a 64% increase in average order value, and a 36% increase in new customers; manual marketplace operations work dropped from more than three hours to under five minutes per marketplace.

Cafe24· South KoreaAgent Bricks · Unity Catalog · AI/BI
Media & EntertainmentAgentic AIConversational AIGenerative AI

Turning 700T Customer Signals into Media Intelligence

MiQ, a global programmatic media partner, built Sigma, an advertising platform on the Databricks Data + AI Platform, to unify more than 700 trillion fragmented customer signals across watching, browsing and buying activity into a single governed intelligence layer. Data flows through a medallion architecture on Delta Lake with Unity Catalog governance, and Databricks SQL serves dashboards, Genie Spaces and agent queries. MiQ built a Planning Agent using two Genie spaces (unified consumer signals and historical campaign data) plus Vector Search to translate natural-language audience descriptions into activation segments, letting non-technical marketers go from audience discovery to media plan recommendations in minutes instead of days. Sigma has powered over 40,000 campaigns for more than 2,300 advertisers since launch, with campaigns returning 2.2x the ROI of standard programmatic campaigns; campaign planning and analysis that once took 6+ hours now takes roughly 5 minutes, and AI-assisted optimization workflows cut storage needs by 50%.

MiQDelta Lake · Unity Catalog · Databricks SQL +3
ManufacturingAgentic AIConversational AI

How Unified Marketing Data Intelligence Unlocked an Estimated $1.3M in Annual Productivity

Red Hat's marketing analytics team built the Marketing Insights and Navigation Engine (MINE), an internal conversational platform giving marketers trusted, real-time access to campaign performance, pipeline data, and metric definitions previously scattered across dashboards, documents, and internal tools. MINE runs on Red Hat OpenShift for the frontend (SSO integration, environment separation) and the Databricks Data + AI Platform for the backend, using a Lakehouse architecture and Unity Catalog for centralized governance, access control, and lineage. Built after 20 stakeholder focus groups, MINE improved time-to-insight by 70%, saving an estimated 34,000 hours annually and delivering an estimated $1.3 million in annual productivity value.

Red HatAgent Bricks · Unity Catalog · Red Hat OpenShift
Technology & SoftwareGenerative AI

Protect Crypto Assets with Governed AI

Elliptic, a blockchain analytics and digital asset compliance company, built a copilot on Databricks Agent Bricks to reduce compliance analyst workload by describing wallet activity, highlighting exposure paths, and producing neutral, report-ready risk narratives for financial institutions, crypto businesses and government agencies. MLflow tracing captures prompts, intermediate steps and final narratives for every interaction, and automated evaluation pipelines score responses for correctness, relevance and safety using LLMs as judges. Domain-specific safety guidelines distinguish between describing financial-crime typologies and inadvertently mentioning harmful activity, while custom safety scorers distinguish between explaining money-laundering patterns and promoting harmful activities. Elliptic reports compliance teams resolving high-risk screenings up to 2x faster and 40% less time needed to complete a Suspicious Activity Report.

EllipticAgent Bricks · MLflow · Databricks Foundational Models API +1
RetailGenerative AIPredictive Analytics

Cultivating the Perfect Lawn for 2.3 Million Customers

TruGreen migrated to the Databricks Data + AI Platform, using Databricks SQL on Azure for its data warehouse, Unity Catalog for governance, Lakeflow Spark Declarative Pipelines to stream data from Dynamics 365, and Qlik Replicate for legacy ERP integration. It built TruSight, an AI-powered reporting solution delivering daily insights to 200+ branch and regional managers before crews start work at 7 AM, evaluated against ChatGPT and multiple Microsoft Copilot variants before selecting Databricks for accuracy, cost, and control over context and LLM choice. TruGreen deployed Claude Sonnet 4.5 via Databricks Model Serving (External Models), using MLflow's LLM judges to evaluate AI output quality, and has churn and lifetime-value machine learning models in production. Databricks SQL cut data warehousing costs by roughly 50%, and automated data lineage in Unity Catalog reduced ERP impact analysis from weeks to minutes (a 99% improvement).

TruGreenAgent Bricks · Databricks SQL · Spark Declarative Pipelines +4
EducationAgentic AIConversational AI

Agent Bricks Gives Baylor a Direct Line to the Student Voice

Baylor University's Enrollment Management division built an agent workflow using Databricks Agent Bricks to review 100% of contact center calls about financial aid and student accounts, up from roughly 5% manual sampling. Call recordings are fed via API into a medallion architecture on Databricks; a Knowledge Assistant agent gives representatives instant policy guidance, and a Multi-Agent Supervisor evaluates calls against standard operating procedures, citing timestamps and sources. Supervisors also query call data via Databricks Genie in natural language. Unity Catalog and row-level security via Active Directory groups govern access to FERPA-protected student data. The system generates a daily summary report in about two minutes and enables faster, more consistent coaching for contact center staff.

Baylor UniversityAgent Bricks · Databricks Marketplace · Unity Catalog +1
Technology & SoftwareAgentic AIConversational AI

Inside the Governed Data Platform Powering ChatGPT: OpenAI on Databricks

OpenAI runs its marketing, analytics, security, and finance operations on the Databricks Data + AI Platform across Azure and AWS, with usage data landing in Delta tables governed by Unity Catalog. OpenAI's Security team uses Databricks streaming pipelines to standardize infrastructure, cloud, and vendor audit logs into governed Delta tables for threat detection, investigation, and incident response, including Codex agents querying governed security data via SQL APIs. The marketing team uses a Bronze-Silver-Gold architecture to build audiences without writing SQL for one billion weekly active users, eliminating $400,000 per month in storage costs. Separately, Databricks and OpenAI announced a multi-year partnership bringing OpenAI's frontier models, including GPT models and Codex, natively into the Databricks Data + AI Platform, callable via SQL or API against data governed by Unity Catalog.

OpenAIAgent Bricks · Databricks SQL · Delta Lake +2
EducationMachine LearningFraud & Anomaly DetectionAI Model Development & MLOps

GoGuardian: Safer schools, empowered teachers, thriving students

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.

GoGuardian· United StatesDelta Lake · Databricks Lakeflow · Unity Catalog +6
RetailComputer VisionGenerative AILarge Language Models

Furniture.com Transforms Online Search with Databricks

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.

Furniture.comDatabricks Data + AI Platform · Delta Lake · MLflow +3
ManufacturingRetrieval-Augmented GenerationConversational AINatural Language Processing

Lippert Improves Customer Support with GenAI

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.

LippertDatabricks · Agent Bricks · Unity Catalog +5