Case studies

Learn how Wizard cut AI evaluation costs 75% with SuperAnnotate and NVIDIA Nemotron using LLM judges and expert review while maintaining 96% accuracy.

Learn how SuperAnnotate partnered with Databricks to create OfficeQA, a benchmark for grounded reasoning over messy enterprise data.

Explore how ServiceNow leveraged SuperAnnotate to build StarFlow, a domain-specific vision-language model that now outperforms GPT-4o.

Explore how Flo Health, the leading women’s health platform, cut AI evaluation cycles by 10x to achieve clinical-grade accuracy.

Learn how Taranis accelerated GenAI training with SuperAnnotate, achieving 95% model accuracy and reducing annotation time by 80% for faster agronomic insights.

Learn how Körber Supply Chain enhances pallet handling using SuperAnnotate's AI tools to speed up data annotation and improve logistics operations.

Databricks collaborates with SuperAnnotate to refine RAG systems, ensuring consistent LLM evaluations and streamlined feedback.

Learn how SuperAnnotate helped Twelve Labs build quality training datasets & cut multimodal AI development time by 50%.

Learn how GumGum, a leader in Contextual Intelligence, fine-tunes LMs with SuperAnnotate and Databricks.

Discover how SuperAnnotate optimized REM People’s workflow, enabling them to maintain their competitive edge in a fast-paced market.

Learn how SuperAnnotate helped Prairie Robotics reduce recycling contamination by 40% and drive a sustainable future.

Find out how Hinge Health achieved massive improvements in annotation accuracy, accelerated annotation/QA speed, and reduced costs with SuperAnnotate.