RFx Mendoza provides an AI‑driven platform that automates the creation, distribution, and analysis of RFP, RFQ, RFI and other vendor questionnaires. The system uses NLP to extract and summarize responses, applies a decision‑intelligence engine to score and rank vendors against configurable criteria, and runs in a dedicated VPC with end‑to‑end encryption while offering APIs for ERP and procurement system integration. It also includes ESG and DEI scoring modules for compliance‑focused sourcing.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often manage RFx processes (RFP, RFQ, RFI, DDQ, vendor questionnaires) manually, leading to lengthy questionnaire creation, inconsistent response analysis, and difficulty comparing vendor submissions. This manual effort increases cycle time, introduces human error, and hampers compliance with regulatory and ESG requirements.
Solution
RFx Mendoza delivers an AI‑powered platform that automates the end‑to‑end workflow of sourcing and vendor selection. The system generates questionnaires using best‑practice templates, applies natural‑language processing to summarize and flag incomplete or vague vendor answers, and scores responses with a proprietary decision intelligence engine to produce ranked recommendations. All data are processed within a dedicated virtual private cloud, ensuring that sensitive procurement information never leaves the enterprise’s secure environment. The platform also offers APIs for seamless integration with ERP, procurement, logistics, and finance systems, allowing organizations to embed automated sourcing into existing workflows. Continuous model refinement is driven by user feedback, improving accuracy over time.
Target Audience
The primary customers are corporate procurement, sourcing, and supply‑chain teams in mid‑size to large enterprises across industries such as manufacturing, healthcare, IT, and capital‑project services that require fast, compliant vendor evaluation.
Features
- AI‑assisted questionnaire generation that converts best‑practice templates into ready‑to‑send forms in minutes
- NLP engine that extracts key data, summarizes long responses, and highlights missing or ambiguous information
- Automated scoring and ranking of vendor submissions based on configurable criteria, delivering data‑driven recommendations
- VPC‑hosted architecture with end‑to‑end encryption, guaranteeing that procurement data remains within the enterprise domain
- RESTful APIs and pre‑built connectors for ERP, procurement, logistics, and finance systems to enable workflow automation
- Built‑in ESG, sustainability, and DEI scoring modules to align vendor selection with corporate responsibility goals
- Continuous AI model improvement through supervised feedback loops and usage analytics