Professional Document Analyzer

We’ve transformed the way businesses build a request for proposal (RFP). Our automated solution breaks down RFPs into simple, easy-to-understand business requirements that can be analyzed, graded, and delivered in a streamlined manner. We’ve eliminated the guesswork, headaches, and ambiguity that are inherent to the traditional RFP process while providing a green alternative that saves time, money, paper, and other resources. Creating a GreenRFP begins by allowing you to identify your unique requirements through an easy-to-use wizard-based process. As an RFP creator or contributor, you can identify your SME’s to solicit content and questions or operate independently if you choose. When you’re done creating your GreenRFP, you are able to send it to your internal team for alignment and approvals before sending it out to the potential vendors. Vendors that are fortunate enough to participate in your RFP, can collaborate and delegate the responses amongst their team members.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.