Vera
Multi-Agent Research Workspace
Vera is a specialized multi-agent research workspace built to automate document collection, cross-referencing, semantic analysis, and synthesized briefing creation for domain researchers.
Faster synthesis across technical & regulatory corpora
The Challenge
Technical teams were spending 15+ hours weekly manually reading dense PDFs, regulatory circulars, and technical documentation to extract comparative data points and cross-verify conflicting findings.
Our Approach
Rezint Tech architected a collaborative multi-agent workspace with specialized agent roles: an extractor agent, a fact-verification agent, a contradiction detector, and a report synthesizer, all orchestrated through a stateful graph.
Key Engineering Deliverables
Multi-modal document ingestion supporting scanned PDFs, tables, and raw text.
LangGraph state machine coordinating parallel worker agents with cycle controls.
Verification sub-routine that flags uncited claims before draft generation.
Clean interactive React dashboard allowing human researchers to inspect agent thought traces.
Demonstrated Results
4.2× acceleration in comprehensive research synthesis turnaround.
Cross-document entity extraction with full source coordinate citations.
Eliminated manual copy-paste extraction across multi-hundred page reports.
Technologies Utilized
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