Case Study: Navigate360 achieves 6x labeling throughput with Datasaur

Navigate360 Increases Labeling Production by Multiples on Datasaur

Navigate360, an EdTech leader in school safety and digital threat detection, faced slow, error-prone spreadsheet-based labeling that lacked readability and peer review as their ML product grew more complex. In 2023 they partnered with Datasaur, adopting Datasaur’s NLP labeling platform and AWS-integrated workflow to replace spreadsheets and support richer, automated classification processes.

Datasaur delivered an intuitive labeling interface with automations, Reviewer Mode, reporting, and S3/API integration, plus dedicated support and custom workflows (including LLM grading and plans for NER/image labeling). The outcome: labeling input expanded sixfold (scaling from one to six dedicated labelers), faster and more accurate annotations, improved data quality and Digital Threat Detection performance, and secure, scalable operations.

Navigate360