We’re pleased to announce that Lovelytics has won the 2026 Databricks Brickbuilder Partner of the Year award! This award recognizes partners that build outstanding Databricks solutions and accelerators to deliver repeatable customer value. Databricks selects winners based on the quality, adoption, and impact of these solutions. The recognition reflects joint customer success, growing platform usage, and strong technical expertise.
Lovelytics co-innovates with Databricks to build advanced enterprise AI solutions. We use the latest Databricks features to build AI tools that help clients maximize their software investments. We start with innovation on day one by using our series of industry specific Lytics accelerators. These tools solve specific business problems with compound AI applications on the Data Intelligence Platform. To speed up development, we built our AI Engineering Toolkit. This proprietary suite of components lets us focus on outcomes instead of data pipelines.
Our team studies new Databricks releases the moment they launch. We adopt products early and move beyond theoretical testing to build repeatable solutions. This agility lets us react to the Databricks roadmap in real time. Our customers avoid waiting for new features to become ready for production.
Proprietary Databricks Tools and AI Innovations
- The Data Quality Agent is an autonomous framework using Unity Catalog and Agent Bricks to monitor, detect, and fix data anomalies without human intervention.
- The DocInsights Brickbuilder is a multimodal RAG framework that transforms unstructured documents into high fidelity data assets.
- Taxonomy Agentic AI reduces manual tagging costs by up to 70% while increasing metadata accuracy for retail and CPG leaders.
- Geospatial and Three Dimensional Analytics combine geospatial features in Databricks with Lakebase and Databricks Apps to model, simulate, and interact with the real world.
- Multi Agent Delivery Models move beyond basic chatbots to Autonomous AI Engineering. Multiple agents collaborate directly in Databricks to build complex solutions with minimal human oversight.
Databricks Customer Success Stories and Business Impact
Lovelytics deploys enterprise AI and Agentic AI on the Databricks platform across manufacturing, insurance, energy, and CMEG. Our work combines Databricks expertise with AI engineering, an Evaluation Led Development Methodology, and an AI Quality Framework. This framework focuses on reliability, governance, observability, and business value. Our recent Brickbuilder Specialization in AI validates our ability to deliver production AI and ML workloads. We build Compound AI Systems using Agent Bricks and specialized RAG architectures to run real business logic.
Our solutions use modern architectures, AI Agents, Agent Bricks, RAG, DSPy based optimization, classic ML, computer vision, and foundation models. We use Databricks Agent Bricks, MLflow, Unity Catalog, Vector Search, AI Gateway, and Databricks Apps to build scalable, governed AI systems. Through subject matter expert feedback loops, observability, evaluation tracking, and continuous optimization, we help clients move from experimentation to enterprise production.
- Xcel Energy asset defect detection uses Dronelytics, a recently submitted Brickbuilder accelerator. It replaces high risk manual inspections of wind turbines and solar panels by using AI models and drone imagery.
- GATX contract intelligence uses DocInsights, a new Brickbuilder accelerator, to parse contracts. This system turned documents into actionable intelligence. It reduced external legal fees by $1 million, drove $1 million to $2 million in revenue uplift from faster deals, and cut maintenance costs by $750,000.
- Accelerated Time to Market happens because our AI Engineering Toolkit reduces initial LLM prototyping and agentic workflow development cycles from months to under four weeks.
- Speed to value increases because our AI Engineering Toolkit reduces the innovation to production cycle by 30%.
- Scale is shown at Lippert, where we moved complex AI Agents from experimental notebooks to governed workflows, saving an estimated $10 million to $16 million.
- Expertise at Scale includes a group of 14 Databricks Champions and MVPs. Our proprietary components power our entire suite of industry specific Lytics offerings.
- Thought leadership includes our AI Discovery Workshops, which help enterprise clients define AI roadmaps to maximize Databricks consumption and ROI. Our industry leaders share their perspective on AI and Databricks on LinkedIn, in user groups, and at events. These leaders include Sudhir Gajre, Alex Wiss, and Tejas Pandit.
Industry Specific AI Accelerators
We productize our services with our Lytics suite. This is a portfolio of industry specific AI accelerators built on the Databricks Data Intelligence Platform.
- Energy applications like Gridlytics and Dronelytics use agentic workflows to monitor signals, make decisions on vegetation risk, and trigger work orders directly.
- Retail and CPG tools like SKUlytics and Merchlytics transform data into action oriented products that optimize pricing automatically based on real time market signals.
- Media and Telecom programs like Audiencelytics and Churnlytics embed intelligence directly into customer workflows to personalize experiences and prevent churn.
- Manufacturing solutions drive cross functional AI transformation. These tools automate complex processes, speed up decision making, and improve operational efficiency across customer service, back office automation, finance operations, warranty intelligence, and supply chain workflows.
Lovelytics gets into production quickly. We believe data that does not drive an outcome is just technical debt. Our approach centers on Data Products. These products combine high quality governed data, clear business outcomes, and Agentic AI that takes action. We replace experimental cycles with outcome driven Data Products to deliver the vertical intelligence and engineering required for enterprise ROI.
