AFTERSHOCK
CoffetiersTraces the ripple effects of a proposed project change across existing documents to surface hidden dependencies and evidence-backed consequences.
Fact Knowledge Layer
Extracts financial figures from company PDFs, links each one to its source passage and flags figures that corroborate, conflict or depend on context.
The problem
Big companies like Delhivery, Eternal, and other businesses handling massive volumes of financial data struggle (for example expenditures, revenue, employee spend, investment of a company in FY 2024-25) with critical facts scattered across PDFs, reports, and documents—making it difficult to verify information, resolve contradictions, and make decisions they can confidently trust without repetitive cycle of documents check manually.
How it works
I’m building an AI-powered Fact Knowledge Layer that extracts financial facts from PDFs, links every fact to its original evidence, and automatically identifies corroborating, conflicting, or context-dependent figures. It helps companies replace repetitive manual document checks with a centralized, traceable knowledge system that makes financial information easier to verify, compare, and trust.
How Claude was used
Not documented in the submission.
Demo and screenshots
Team
Dexter
Individual builders are not listed yet — names are published only with their permission.