Dataloop announces its strategic integration with SingleStore, accelerating model iteration and deployment by unifying Dataloop’s AI orchestration with SingleStore’s high-performance distributed SQL engine. This integration enables AI teams to manage and automate data workflows securely, in real time, and at scale.
, The integration supports the following workflow:
- Import multimodal data (text, images, videos, etc.) from SingleStore into Dataloop using a dedicated pipeline node
- Process unstructured data with Dataloop’s orchestration and data management tools
- Train and evaluate models, incorporate RLHF, and structure outputs for GenAI pipelines
- Export data enriched results – like model predictions, prompt completions, or metadata – back to SingleStore via the second pipeline node
Designed for DataOps simplicity, the integration speeds up processes with automation, increases efficiency , and ensures that models operate on the most current and reliable data.
From data preparation and model fine-tuning to real-time inference and deployment, this partnership supports full-cycle AI development – without operational slowdowns or platform fragmentation.
