We’re thrilled to announce that SuperAnnotate is now available on Databricks Partner Connect. Building on our recent Series B funding news, where Databricks Ventures participated as a strategic investor, this integration offers seamless access to our AI data platform directly from your Databricks workspace.
By integrating with Databricks, SuperAnnotate provides a streamlined solution for building custom models and continuously monitoring their performance using model-in-the-loop automation and human review.
“We’re excited to deepen our partnership with SuperAnnotate with their availability on Partner Connect. This launch strengthens our joint value proposition for building custom AI models on our platform. By enabling customers to create high-quality training data through SuperAnnotate, paired with the Databricks Data Intelligence Platform, we’re helping businesses bring AI-driven solutions to market faster.”
— Roger Murff, VP of Technology Partners at Databricks
Success in action
SuperAnnotate and Databricks have several joint customers, including Databricks itself, who leverage both platforms to accelerate the AI development lifecycle, from data to deployment.
- Databricks: The Databricks Mosaic AI team uses SuperAnnotate to optimize their RAG systems and to build the DBRX open-source model, leveraging SuperAnnotate’s platform for fine-tuning datasets and LLM evaluation. Jonathan Frankle, the Chief AI Scientist at Databricks, shared his thoughts on the collaboration:
“We reviewed several companies in this space and selected SuperAnnotate due to the high quality of their data. I'm very glad we did - they continue to stand out for their data quality, attention to detail, and fantastic communication. They are an invaluable part of our data pipeline. I don’t see them as a vendor; I see them as a partner and I am thrilled that Databricks Ventures is participating in SuperAnnotate's latest round.”
- GumGum: GumGum utilizes SuperAnnotate’s platform with the Databricks Data Intelligence Platform to streamline data labeling and training for contextual AI models, improving efficiency and precision in digital advertising.
- Twelve Labs: Twelve Labs integrated SuperAnnotate and Databricks Mosaic AI to accelerate video AI development, cutting project timelines by 50% with faster model fine-tuning and data processing.
Partner Connect
SuperAnnotate, now available on Databricks Partner Connect, offers a hassle-free project setup automatically provisioning necessary resources and access. Data science teams can then map Delta Lake columns to SuperAnnotate projects for building custom workflows. Once training data is created in SuperAnnotate, customers can easily integrate with Databricks Mosaic AI Model Training or use their Notebooks within Databricks.
Solution accelerators and resources
To help customers maximize this integration, SuperAnnotate and Databricks offer a range of resources, including:
- Solution accelerators: Install a pre-built notebook & dataset on Databricks Marketplace to run a small test fine-tuning job on Databricks.
- Webinars: View our joint webinar, “Fine-tune and evaluate LLMs with SuperAnnotate and Databricks.
- Documentation: Access the Partner Connect technical documentation via Databricks or SuperAnnotate for seamless integration.
Stay tuned for more updates as we continue to strengthen our partnership with Databricks and expand the capabilities of our platform.