Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-powered knowledge management platform that surfaces answers from enterprise content for support and service teams. New York NY, raised $60M+.
Shelf.io is an AI-powered knowledge management company that provides an enterprise platform designed to surface accurate answers from an organization's distributed content — documents, wikis, PDFs, support articles, and other sources — to customer service agents, employees, and end customers in real time, reducing time-to-resolution and improving the consistency of information delivery. Founded in 2016 and headquartered in New York City, Shelf.io has raised more than $60 million and built a customer base spanning financial services, insurance, healthcare, and technology companies that need to make large knowledge bases reliably accessible across their service and support operations.\n\nShelf.io's platform ingests content from disparate sources including SharePoint, Confluence, Salesforce, Zendesk, and local file repositories, applies AI to index and classify knowledge, and then serves answers through a unified interface accessible to agents within their existing ticketing or CRM tools. A distinctive feature is MerlinAI, Shelf's answer engine that uses natural language processing to interpret agent or customer queries and return the most relevant knowledge articles rather than requiring users to navigate folder structures or formulate precise search queries. The platform also includes knowledge gap detection that identifies common queries for which no good answer exists, enabling content teams to fill coverage gaps proactively.\n\nShelf.io competes with Guru, Glean, Bloomfire, and Salesforce Knowledge in the enterprise knowledge management market. Its focus on contact center and customer service use cases, combined with deep integrations into the support tool stack and its knowledge gap analytics, differentiates it from general-purpose enterprise search or intranet knowledge base tools. The company positions its platform as the connective tissue between an organization's institutional knowledge and the front-line teams who need to apply it.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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