MEIA-LAB (Multi-Agent Earnings Intelligence calls)

MEIA-LAB (Multi-Agent Earnings Intelligence & Alignment Lab) is an end-to-end AI platform that automates the verification of corporate earnings call claims against official SEC filings in real-time. Every quarter, public companies present their financial performance through earnings calls and slide decks, but analysts must manually cross-reference hundreds of pages of SEC disclosures to separate fact from corporate spin—a process that is slow, error-prone, and costly. MEIA-LAB solves this by deploying a team of specialized AI agents orchestrated through LangChain and LangGraph. The ASR Agent uses Whisper to transcribe earnings call audio with high accuracy. The Vision Agent performs layout-aware OCR on presentation slides using PyMuPDF and multimodal LLMs. The Filing Agent retrieves the latest 10-Q and 8-K filings directly from SEC EDGAR and extracts structured financial data. Finally, the Orchestrator cross-examines all sources, scores each management claim for consistency, flags risk discrepancies, and generates source-cited analyst briefs. The platform features a React-based dashboard that surfaces a real-time Consistency Score, a verified claims panel with direct evidence citations, a risk monitor highlighting guidance gaps, and an Evidence Room linking every finding to exact filing pages and transcript lines. All heavy inference workloads including Whisper transcription and high-throughput vector embedding generation for RAG-based filing search via ChromaDB are accelerated on AMD Developer Cloud GPUs using ROCm, delivering massive speedups over CPU execution. MEIA-LAB cuts institutional-grade earnings research from hours to under a minute, helping hedge funds, equity research desks, and compliance teams invest with certainty.