SuperReport: AI-Powered Verified Research Reports
Problem Statement
Needed faster, accurate research reports with citations to improve analyst productivity and client delivery timelines.
Client Info
Mid-size consulting firm specializing in market research
Outcomes
60% faster research report generation
Reliable citation verification built into workflow
Improved analyst satisfaction and reduced manual review load
How did BeautifulCode do it?
Challenges Encountered During Implementation
Data Quality & Verification: Ensured retrieved content was trustworthy by building automated citation checks.
Complex Orchestration: Managed multi-step AI pipelines with Celery chains for reliability and observability.
User Experience: Balanced automation with analyst control via interactive “Verify This” chips and diff views.
Solution
Built SuperReport: an AI-native platform leveraging RAG pipelines to generate citation-rich report drafts, enable verification workflows, and accelerate analysts’ turnaround time with high accuracy.
Overview of Delivery Methodology
Step 1 – Discovery: Understood analyst workflows and bottlenecks in research reporting.
Step 2 – Architecture: Designed modular system using LlamaIndex, Celery, and Qdrant.
Step 3 – Implementation: Built ingestion, retrieval, and report generation pipelines with streaming SSE.
Step 4 – UX Design: Delivered interactive editor with verification loops and inline diff review.
Step 5 – Iteration: Piloted with analysts, collected feedback, and refined workflows
Technologies Used
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