Case studiesHow GetYourGuide Scales LLM Evaluation with SuperAnnotate
Learn how GetYourGuide replaced spreadsheets with SuperAnnotate to scale LLM evaluation and ship AI features faster.
See how leading teams build, evaluate, and ship better AI with SuperAnnotate.
Case studiesLearn how GetYourGuide replaced spreadsheets with SuperAnnotate to scale LLM evaluation and ship AI features faster.
Case studiesLearn how Wizard cut AI evaluation costs 75% with SuperAnnotate and NVIDIA Nemotron using LLM judges and expert review while maintaining 96% accuracy.
Case studiesLearn how SuperAnnotate partnered with Databricks to create OfficeQA, a benchmark for grounded reasoning over messy enterprise data.
Case studiesExplore how ServiceNow leveraged SuperAnnotate to build StarFlow, a domain-specific vision-language model that now outperforms GPT-4o.
Case studiesExplore how Flo Health, the leading women’s health platform, cut AI evaluation cycles by 10x to achieve clinical-grade accuracy.
Case studiesLearn how Taranis accelerated GenAI training with SuperAnnotate, achieving 95% model accuracy and reducing annotation time by 80% for faster agronomic insights.
Case studiesLearn how Körber Supply Chain enhances pallet handling using SuperAnnotate's AI tools to speed up data annotation and improve logistics operations.
Case studiesDatabricks collaborates with SuperAnnotate to refine RAG systems, ensuring consistent LLM evaluations and streamlined feedback.
Case studiesLearn how SuperAnnotate helped Twelve Labs build quality training datasets & cut multimodal AI development time by 50%.
Case studiesLearn how GumGum, a leader in Contextual Intelligence, fine-tunes LMs with SuperAnnotate and Databricks.
Case studiesDiscover how SuperAnnotate optimized REM People’s workflow, enabling them to maintain their competitive edge in a fast-paced market.
Case studiesLearn how SuperAnnotate helped Prairie Robotics reduce recycling contamination by 40% and drive a sustainable future.
Case studiesFind out how Hinge Health achieved massive improvements in annotation accuracy, accelerated annotation/QA speed, and reduced costs with SuperAnnotate.
Case studiesLearn how Orsi leveraged the power of SuperAnnotate to achieve 3x faster labeling and superior annotation quality compared to physician annotators.
Case studiesDiscover how SuperAnnotate helped OneCup cut data annotation costs, expedite quality assurance, and boost model performance, all within one platform.
Case studiesIntelinAir shares how they were able to build pixel-accurate training data at quality levels and speeds unachievable with their previous tooling.
Case studiesSuperAnnotate’s advanced automation features helped AEDIT automate its data training processes. AEDIT was also able to increase model accuracy by 6%.
Case studiesLearn how Percepto was able to implement a scalable annotation infrastructure, find high-quality outsourced annotation teams and get lightning-fast annotations.
Case studiesSuperAnnotate’s pixel-accurate and user-friendly tools, particularly the Smart Segmentation tool, improved the quality of Spacept’s annotations.
Case studiesAltris AI compared SuperAnnotate and Labelbox and shared how SuperAnnotate decreased their annotation cost and drastically increased their annotation quality.
Case studiesLearn how researchers at the TACK project are using SuperAnnotate to speed up image annotation of their project.