Case Study: amotivv powers governed AI agents with live web data from Firecrawl

amotivv powers governed AI agents with Firecrawl for pages updated 60 seconds ago

amotivv builds governed AI systems for regulated business customers and faced the challenge of providing its AI agents with live, up-to-date web data. Their agents needed to answer questions about recently published information, such as new policies or product pages, which was impossible using only statically trained models. They required a reliable web retrieval solution to serve as a core primitive for their work.

Firecrawl provided the solution by acting as the retrieval layer for amotivv's AI stack. The implementation was easy and provided unconditional, on-demand retrieval of any URL regardless of its age or indexing status. This allowed amotivv's agents to answer questions about a webpage that was published just sixty seconds ago. Firecrawl's data handling controls, including PII redaction and zero data retention, were also critical for amotivv's regulated customers, making the vendor an indispensable part of their production system.

Amotivv