Certified Databricks Partner · Delivering AI and Data Solutions at Scale
Lucent Innovation is a Databricks certified AI and ML development company that builds governed, production-ready AI solutions for enterprises. Our AI and ML services include readiness assessments, proofs of concept, AI agents, predictive systems, automation and MLOps built on scalable Databricks data foundations.

Start with an AI readiness assessment, an AI proof of concept, or a defined development project based on your current goals and level of data maturity. Our team brings AI strategy consulting, custom AI software development, data engineering, system integration, deployment and MLOps together under one delivery model.
Whether you are exploring AI for the first time or moving an existing solution into production, we help you choose the right path, reduce implementation risk and define clear next steps.
Explore the capabilities below to find the best starting point for your business.
Choose the service that matches your current stage, from AI planning and validation to development, automation, deployment and ongoing model operations.
Validate goals, data readiness, risks and roadmap.
Build AI software for your data, systems and workflows.
Build AI agents for secure, multi-step automation.
Build and monitor governed AI on Databricks Lakehouse.
Agentic AI is software that can plan steps, use approved tools, and complete tasks across connected systems. We build AI agents with trusted data, clear permissions, human approval, and performance monitoring.
Answer support questions, update records, route requests and complete routine workflows across customer service and internal teams.
Help shoppers find and compare products, receive relevant recommendations, and complete approved commerce actions using Lucent’s Shopify experience.
Use approved company data, documents, and knowledge sources to answer questions and show the information behind each response.
Build governed AI and ML solutions using Mosaic AI, MLflow and Unity Catalog for development, deployment and monitoring.
Combine AI and Shopify expertise to improve product discovery, personalization, customer support and commerce workflows.
Confirm the business case, data readiness, risks, and success measures.
Plan the data, model, security and integration design.
Develop and test the models, agents, workflows and integrations.
Launch with access controls, monitoring and rollback plans.
Track accuracy, cost, latency and model drift through MLOps.
Plan the data, model, security and integration design.
Launch with access controls, monitoring and rollback plans.
Confirm the business case, data readiness, risks, and success measures.
Develop and test the models, agents, workflows and integrations.
Track accuracy, cost, latency and model drift through MLOps.
A fast-growing meal-kit and grocery subscription company faced rising Snowflake costs, slow batch-based personalization, fragmented machine learning workflows, and limited visibility across its data systems.
Our team migrated the company to a Databricks Lakehouse using a phased approach. We unified batch and streaming data, moved machine learning workflows to MLflow, and introduced Unity Catalog for centralized governance without disrupting analytics operations.

Start with a fixed-scope engagement to identify valuable AI use cases, assess data readiness and define a practical implementation roadmap before development begins.
Choose a defined scope, timeline, and set of deliverables when you already know which AI solution, model, agent, or automation workflow you need to build.
Hire dedicated AI and ML developers who work as an extension of your team, providing ongoing development, integration, and MLOps support.
AI and ML pricing depends on project scope, data readiness, integrations, security requirements, and delivery model. Lucent Innovation’s verified Clutch profile lists general agency rates of $25–$49 per hour, while enterprise AI projects are scoped around the required architecture, governance and implementation complexity. For ongoing support, you can also hire dedicated AI/ML developers to work as an extension of your team.
Our AI readiness assessment process reviews your business goals, data, systems and risks. Based on the findings, we recommend the next step, such as AI strategy consulting, an AI proof of concept, custom AI development, or an AI agent pilot.
Book Your Free AI Readiness AssessmentTake your project further by combining this service with our other high-impact solutions.
A glimpse into what our clients think of the work we've done together.
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