
Shelf is a knowledge automation platform founded in 2017 that specializes in next-generation knowledge management to ensure accurate and trusted Generative AI (GenAI) answers. The company addresses the critical issue of poor data quality in unstructured organizational knowledge, which causes inaccurate AI outputs. Shelf's platform connects to enterprise content, identifies and filters bad data, and delivers trusted answers, enabling confident GenAI deployment. With over 40 years of combined experience in unstructured data and knowledge management, Shelf has processed over 100 million pieces of content and 10 million gigabytes of data for major brands like Amazon, Lufthansa, and Mayo Clinic. Their solutions include Shelf Core, RAG & GenAI Readiness, Knowledge Management, and Contact Center Knowledge Automation, positioning them as a leader in improving AI answer quality and data transparency for enterprises.

Shelf is a knowledge automation platform founded in 2017 that specializes in next-generation knowledge management to ensure accurate and trusted Generative AI (GenAI) answers. The company addresses the critical issue of poor data quality in unstructured organizational knowledge, which causes inaccurate AI outputs. Shelf's platform connects to enterprise content, identifies and filters bad data, and delivers trusted answers, enabling confident GenAI deployment. With over 40 years of combined experience in unstructured data and knowledge management, Shelf has processed over 100 million pieces of content and 10 million gigabytes of data for major brands like Amazon, Lufthansa, and Mayo Clinic. Their solutions include Shelf Core, RAG & GenAI Readiness, Knowledge Management, and Contact Center Knowledge Automation, positioning them as a leader in improving AI answer quality and data transparency for enterprises.
Founded: 2017 (company materials state product launched in 2017)
Sector: Knowledge automation / GenAI readiness
Employees: 210
Known customers: Amazon, Lufthansa, Mayo Clinic, HelloFresh, Glovo, John Deere, DSW
Latest disclosed round: Series B $52.5M (Aug 23, 2021)
Total funding (reported): USD 60,700,000
Unstructured data quality and enterprise knowledge management for reliable AI-generated answers
2017
Enterprise software / Knowledge management / AI
USD 52,500,000
Reported ~4x ARR growth year-over-year at time of the round; participation from additional investors including Base10 Partners and Connecticut Innovations.
“Led by Tiger Global and Insight Partners with participation from institutional and existing investors (e.g., Base10 Partners, Connecticut Innovations, Contour Venture Partners)”