BotMan AI maps legacy apps as knowledge graphs for rebuilds
BotMan AI has built an AI-powered pipeline that represents legacy applications as knowledge graphs before rebuilding them. According to founder Alejandro D’Andrea, the graph maps code dependencies, business logic and data models, giving AI agents the context to interpret and modernize systems.
This follows a string of companies applying knowledge graphs to AI agents. When we covered Neo4j on 24 September, the graph database provider argued that enterprise AI agents risk developing fragmented interpretations of business data without a shared context. Dell added a knowledge graph to its AI data platform on 6 October, aiming to speed processing of unstructured enterprise data. Blitzy, which raised an undisclosed round on 29 September, is mapping codebases as knowledge graphs to enable autonomous software development.
BotMan’s focus on legacy modernization suggests the technique is gaining traction beyond drug discovery and clinical support, where Qiagen and Flahy have already adopted it. The question now is whether knowledge graphs can scale beyond structured data and curated domains to handle the messy, undocumented systems that still run much of enterprise IT.
Sources: siliconangle.com
“BotMan AI’s approach suggests knowledge graphs are becoming the preferred way to give AI agents the context they need for complex enterprise tasks.”
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- BotMan AI uses knowledge graphs for legacy modernization — siliconangle.com
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