1. Capture - For automated abstraction: Automated classification of medical records (patient health records, insurance claim, cover page, discharge summary etc.) of different formats from hundreds of healthcare providers; and template-free extraction from handwritten or printed text, checkboxes etc. based on pre-trained models and easily trainable models; with semantic understanding of data points extracted; automated validation thereby greatly reducing administrative burden and needs for SME/ human intervention.

2. Search - For high-precision contextual results: Powerful cognitive vertical search engine that queries across documents based on relevant search filters – such as diagnose code, payor or provider etc. – to enable RCM service providers and healthcare providers discover relevant information and documents quickly; in addition, semantic search that provides relevant results for Q&A -type queries.

3. Analyze - To make Informed decisions: Customizable, interactive dashboards produce reports in form of interactive graphs and charts on claims processed vs. denied, average time taken - provide productivity insights and enable decision-making

4. Automate - To maximize efficiency: Workflow automation and integration (via APIs, webhooks) to downstream/upstream healthcare systems – thereby greatly reducing document or data duplication effort, back-and-forth coordination between entities or roles