Our use of various Computer Vision and Natural Language Processing models, plus fine-tuning, enables much higher quality data extraction than either hard-coded templates or human annotation. We optionally provide human-in-the-loop QA when regulations or industry specific needs demand it.

We leverage sophisticated base machine learning (ML) models trained on millions of data points, and further refine those models for each customer use case. Thus, our ML models achieve much higher quality, generalize across challenging document types, and continually improve as we continue to process more data.

We don’t stop at extracting data from your documents. To increase your operational efficiency, you get access to our metrics dashboard to review your pipeline analytics, visualization tools to audit your data easily, a feedback platform to give easily correct errors, and data management portal. You can also check performance versus SLAs.