Talk to Semantix
← Technologies and partners

Strategic partner · Lakehouse and AI

Databricks with Semantix: data and AI on the same platform

Semantix builds and operates the data platform on Databricks, from pipelines to data products, and takes AI into production on that foundation. For SAP, it connects ERP data to Databricks through SAP Business Data Cloud.

Find where to start →

What Semantix does with Databricks

  • Data platform

    Architecture and deployment of the lakehouse, with data organized in layers and governed.

    Also known as: Lakehouse · Unity Catalog

  • Data products and analytics

    Metrics, dashboards and datasets ready for each area to use.

    Also known as: Data Products & Analytics · Data Factory

  • AI in production

    Training, evaluation and monitoring of models and agents on the same platform as the data.

    Also known as: AI pipeline · AI curation

  • SAP data

    ERP data reaches the platform with its business context preserved.

    Also known as: SAP Business Data Cloud · Databricks

  • Data and AI strategy

    An assessment of the environment and a prioritized plan tied to business outcomes.

    Also known as: Data and AI Journey Strategy Consulting

  • Data modernization

    Legacy data warehouses and lakes moved to the lakehouse without stopping analytics.

    Also known as: Data Modernization

  • Operations, support and governance

    The platform kept available, with costs tracked and AI usage rules applied, by a dedicated team.

    Also known as: Managed Data Services · data platform AMS · AI governance

With the Semantix AI Suite

LinkAPI connects Semantix AI Suite agents to data and models on Databricks. Agentix orchestrates work between agents and people, and Safetix enforces the rules and logs every action.

Explore the Semantix AI Suite →

Use cases

Application examples

  • Demand forecastingModels use sales and inventory history to anticipate purchasing and production.
  • Single customer viewSales, service and usage data in one place, with the same definitions.
  • ERP and analytics togetherSAP data feeds analytics and agents without manual extracts.

Frequently asked questions

Common questions

What is a lakehouse?

It’s a platform that combines the low-cost storage of a data lake with the organization and performance of a data warehouse. Data and AI live in the same place.

Does Databricks integrate with SAP?

Yes. Through SAP Business Data Cloud, ERP data reaches Databricks with its business context. Semantix works on both sides.

Who operates the platform after the project?

Semantix, if you want, with ongoing support and evolution. Or your team, with our support.

Start with the process, not the technology

An assessment shows where value is stuck in your operation and which technology, the one you already have or the best fit, solves it first.

Talk to Semantix

Technology from the Semantix partner ecosystem. Names and trademarks belong to their respective owners.

Not sure what a term means? That’s fine

Nobody should have to speak technology to understand a transformation.

Enterprise AI Company
A company that brings AI into the operations of large enterprises: it delivers the platform, builds with the client’s team or runs the processes with AI agents and specialists.
Hybrid workforce
AI agents handle the volume; specialists decide the exceptions and the risky cases.
Operation that learns
Every human decision becomes knowledge, so the next similar case is faster and cheaper.
Outcome-based contract
You pay for what is delivered and measured, such as tickets resolved or cost per transaction.
Context
Your company’s knowledge (data, processes, rules and decisions) that lets AI act safely.
AI
Computers able to perform tasks that would normally require human intelligence.
Agent
An AI system that can carry out tasks using tools.
Workflow
The path a piece of work travels inside a company.
API
A way of letting systems talk to each other.
Cloud
Computing and storage reached over the internet.
Data Platform
An environment that organizes and serves the company’s data.
Agentic AI
AI that can understand goals and carry out tasks within defined limits.
AI Harness
The structure that supplies the context, tools, rules and controls an agent needs to act safely.