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We built Riftur to automate the repetitive work involved in document gap analysis. Many teams still compare requirements to drafts manually—switching between two documents, highlighting mismatches, and tracking gaps in spreadsheets. This seemed like something AI could help with, so we experimented with a way to handle that comparison step transparently and reliably.

Riftur takes a requirement set (proposal instructions, audit criteria, evaluation rubrics, regulatory checklists, internal standards, etc.), interprets each item, and compares it to an uploaded document. It highlights what appears missing, partially addressed, or inconsistent, reducing the need for side-by-side manual review.

The tool isn’t limited to compliance: it can also map internal engineering guidelines to existing artifacts, review technical documentation for alignment, check process adherence, ensure code is following set guidelines or evaluate structured submissions in education and training contexts.

The current version is live, and we’re trying to understand how well the approach generalizes across different document types. Happy to answer questions about the underlying method, tradeoffs, or implementation details.