High-precision Co-Analyst
Ask for research results across multiple documents and get sourced answers with citations instead of unsourced summaries.
Hudson Labs is an AI platform for finance that helps institutional investors, analysts, and research teams with sourced public-markets research, screening, and forensic risk review. It combines company coverage, citations, and automation for financial workflows.
Hudson Labs is an AI platform for finance focused on institutional research, company analysis, and forensic risk review. It combines sourced answers, financial metrics, and workflow automation to help users work through public-market research with more precision than a general-purpose chat tool.
The product is organized around three main workflows: the Co-Analyst for multi-document research, Market Intelligence for screening and idea generation, and Forensic Risk Assessment for identifying accounting and litigation-related red flags. The site positions the platform for institutional investors, analysts, and research teams that need auditable outputs across public companies and market data.
Ask for research results across multiple documents and get sourced answers with citations instead of unsourced summaries.
Combine fundamental metrics with AI to support screening, peer comparisons, sector primers, and thematic research.
Review forensic risk scores and red-flag signals tied to accounting, related-party, and governance concerns.
Create automated workflows for earnings calls, research updates, and portfolio monitoring that send structured reports on schedule.
Work from a broad U.S. issuer coverage universe that includes SEC filings, transcripts, investor decks, press releases, and optional web sources.
Use query limits, team sharing, export features, and dedicated support through the available pricing plans.
Use the Co-Analyst to turn filings, transcripts, decks, and press releases into sourced answers with citations for faster company research.
Use Market Intelligence to build screens, compare peers, and generate sector primers from fundamentals plus AI-assisted discovery.
Use the forensic risk tools to monitor accounting issues, related-party signals, governance concerns, and litigation risk.
Use agents to automate recurring earnings-call summaries, portfolio updates, and structured reporting workflows.
Use team features on the Institutional plan to share outputs and export results across a research group.
Hudson Labs provides AI for finance focused on public markets research, forensic risk, and company coverage across U.S. issuers and ADRs.
The product is built for institutional investors, research teams, analysts, and enterprise users who need sourced financial answers and auditability.
The site describes outputs such as sourced answers and citations, high-precision multi-document results, coverage over SEC filings, transcripts, investor decks, press releases, and workflow automation reports.
The pricing page shows a Core plan for individual analysts and researchers, and an Institutional plan for teams that need forensic risk intelligence, automations, team sharing, export features, and dedicated support.
Hudson Labs says it does not train AI models on customer data, uses encrypted storage and isolated model execution, and supports prompt-storage controls for users.