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Turn trusted data into practical AI with Databricks

Amplifi helps you connect the data your business depends on to the analytics and AI that move it forward. As a Databricks partner, we combine expertise in data management and governance with engineering, analytics, and AI delivery to build solutions around your business priorities.

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Databricks Bronze Partner

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Our Approach

One platform for your data and AI ambitions

Databricks brings data engineering, analytics, and AI together on a unified platform. Its lake house architecture allows teams to work from a shared data foundation, while Unity Catalog provides governance across data and AI assets.

Amplifi connects that platform to the realities of your business: the systems you run, the meaning behind your data, and the decisions you need to make. We help you bring reliable data into Databricks and put it to work in reporting, applications, and AI workflows.

Start with outcomes. Build the foundation.

We start by understanding the decision, process, or customer experience you want to improve. Then we assess the data, architecture, and governance needed to support it, shaping a delivery plan around your existing environment.

Our teams connect strategy with implementation, bringing data management and AI expertise into the same engagement. We build business definitions, ownership, and quality controls into the solution, then test it against the use case and prepare your teams to operate and extend it.

Databricks consulting with Amplifi

We work with enterprise data, technology, and business leaders who need to modernize complex data environments and deliver useful analytics and AI. Our experience in master data management, governance, and data quality helps us address the foundations that these initiatives depend on.

Whether you are evaluating Databricks, expanding an existing environment, or designing an AI application, we help you connect platform decisions to business needs. We bring understanding of organizations with complex customer, product, and operational data.

Amplifi Capabilities

Services

Build a clear path from ambition to delivery

When priorities compete and AI initiatives lack direction, it is hard to know where to invest. Our Data & AI Strategy work connects your business goals to practical use cases, architecture decisions, and a phased Databricks roadmap.

Make fragmented data trustworthy

Disconnected systems and inconsistent definitions undermine confidence in your data. Through Trusted Data Foundations, we bring integration, data quality, master data management, and governance together, so your Databricks environment has reliable data and clear business context.

Put analytics to work across the business

When every team prepares its own data, reporting becomes difficult to reconcile and maintain. Our Enterprise AI & Analytics services help you build reusable data pipelines and models on Databricks, connecting trusted information to dashboards, predictions, and operational decisions.

Move AI into everyday workflows

An AI prototype needs more than a working model to become a dependable business tool. Our Practical Generative & Agentic AI work brings data pipelines, model access, evaluation, and orchestration together on Databricks, with controls designed around how the solution will be used.

Resources

Amplifi Driving Business Value with AI Guide Mockup

Explore practical guidance on data and AI

6 expert tips for driving business value with AI

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The missing layer in Enterprise AI

Why business meaning matters more than the model

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Amplifi Semantic Registry Guide Mockup

Building AI you can trust

Move beyond AI experimentation toward trusted, production-ready AI that your business can rely on

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Put Databricks to work for your business

Planning a new platform, strengthening your data foundations, or taking an AI use case into production? Tell us what you want to achieve. Our team will help you explore the next step with Databricks.

Keep your data and AI capabilities moving forward

Your needs continue to evolve after implementation. Amplifi’s managed services help you support and improve your data and AI capabilities over time. Talk to us about ongoing support, optimization, and enhancements around your Databricks environment.

Turn trusted data into practical AI with Databricks

Amplifi helps you connect the data your business depends on to the analytics and AI that move it forward. As a Databricks partner, we combine expertise in data management and governance with engineering, analytics, and AI delivery to build solutions around your business priorities.

FAQs

What can Amplifi help us do with Databricks?

We help you plan and deliver data engineering, governance, analytics, and AI solutions on Databricks. Our work connects your platform to existing systems and business priorities, from preparing trusted data to building applications that use it.

Can you help if we already use Databricks?

Yes. We can help you strengthen data quality and governance, connect additional data sources, and develop analytics and AI use cases that extend the value of your existing environment.

How does Databricks fit with our MDM platform?

Databricks can prepare and validate data for an MDM platform and make mastered data available for analytics and AI. Amplifi helps define those integrations and the ownership and quality controls around them, so the platforms work together.

What role does Unity Catalog play?

Unity Catalog provides controls for access, discovery, and lineage across data and AI assets in Databricks. Amplifi helps connect those capabilities to business definitions, ownership, and governance processes so teams can understand and use data appropriately.

Can you help us move an AI prototype into production?

Yes. We help design the data pipelines, model access, evaluation, and operational workflows needed to support the use case. The starting point is understanding how the application will be used and what it needs to deliver reliably.

Do we need to move all our data at once?

No. We can plan a phased approach around priority use cases, dependencies, and existing investments. That lets you establish the foundations for one workload and build on them as your needs develop.