Dataloop Integrates with Databricks for Multi-modal AI Orchestration

Build agents and GenAI workflows, process unstructured and structured data, access diverse models, and streamline AI deployment.

Dataloop & Databricks

The Dataloop Databricks integration enables enterprises to access foundation models provided by Databricks through Dataloop’s Model Hub, process structured and unstructured data from Unity Catalog volumes, and securely integrate using PAT or OAuth. These capabilities support advanced use cases such as RLHF, RAG, and model fine-tuning, while ensuring compatibility with media-intensive workflows.

Unlock Your Advantage in Every Position

The Dataloop & Databricks partnership helps every member of the team work faster and utilize the latest technologies Databricks has to offer to create terrific AI solutions.

Improve annotation accuracy by syncing Databricks’ reliable data management with Dataloop’s streamlined labeling tools, reducing manual overhead and enhancing data quality.

Human Reviewers

Develop and fine-tune models using Databricks’ suite of foundation models available through Dataloop’s Model Hub. Apply integrated RLHF workflows to tailor your ML solutions.

Data Scientists

Connect Databricks’ high-performance data processing with Dataloop’s intuitive workflows to create a continuous pipeline—from ingesting raw data via Unity Catalog to transforming it into AI-ready formats.

Data Engineers

Build and deploy robust AI applications by directly integrating Databricks’ cutting-edge data intelligence within Dataloop’s development environment, reducing the gap between data curation and production.

Software Engineers

Drive AI strategy by merging Databricks’ data intelligence with Dataloop’s orchestration. Manage multimodal workflows—from raw data ingestion to RLHF-driven model fine-tuning—in one seamless platform.

Data & AI Leaders