Arphie

Arphie automates the response side of RFPs, RFQs, security questionnaires and due diligence questionnaires using what it calls patented AI agents, with specialised workflows for each document type. Founded in 2023 by CEO Dean Shu, it sells to sales, solutions engineering, security, investor relations and proposal teams, and positions itself explicitly against the legacy content library model that Loopio and Responsive built.

The architectural choice is live sources over a curated library. Rather than requiring answers to be pulled into a maintained question and answer base, Arphie connects to Google Drive, SharePoint, Confluence, product documentation pages and sales enablement platforms including Seismic and Highspot, and reads from them directly. When the marketing team updates a pitch deck, the change is available to the agent without anyone re keying it. The agents also work the other direction, proactively suggesting that duplicate answers be merged, stale answers updated and readability improved, which turns library maintenance from a standing chore into a queue.

Where Arphie separates itself from the rest of this category is the trust layer. Every generated answer shows the exact sources used and a confidence level, and the platform offers full auditing of why and how an agent answered a question step by step. That is agent level auditability rather than activity logging, and it is rare across the whole index, not just this lane. The security posture matches: SOC 2 Type 2, annual third party penetration testing, encryption in transit and at rest, SAML 2.0 single sign on, role based read only or read and write permissions, and zero data retention agreements with the underlying model platforms.

The practical limits are scope and price transparency. There is no full RFP lifecycle coverage in the sense of capture planning, compliance matrices or addendum tracking, so teams whose bottleneck is bid management rather than drafting will still feel gaps against enterprise proposal platforms. Pricing is not published at all, which is a step back from the self serve transparency of 1up and AutoRFP.ai, and the concurrent project model reportedly requires cost modelling before signing.