High-precision Co-Analyst
Ask for research results across multiple documents and get sourced answers with citations instead of unsourced summaries.
Hudson Labs
ClaimHudson 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.
Institutional AI for public markets research
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.
Features
Market Intelligence
Combine fundamental metrics with AI to support screening, peer comparisons, sector primers, and thematic research.
Forensic Risk Assessment
Review forensic risk scores and red-flag signals tied to accounting, related-party, and governance concerns.
Agents and automations
Create automated workflows for earnings calls, research updates, and portfolio monitoring that send structured reports on schedule.
Coverage universe
Work from a broad U.S. issuer coverage universe that includes SEC filings, transcripts, investor decks, press releases, and optional web sources.
Plan-based team features
Use query limits, team sharing, export features, and dedicated support through the available pricing plans.
Use cases
Company research and briefing
Use the Co-Analyst to turn filings, transcripts, decks, and press releases into sourced answers with citations for faster company research.
Screening and idea generation
Use Market Intelligence to build screens, compare peers, and generate sector primers from fundamentals plus AI-assisted discovery.
Risk monitoring and red-flag review
Use the forensic risk tools to monitor accounting issues, related-party signals, governance concerns, and litigation risk.
Research automation
Use agents to automate recurring earnings-call summaries, portfolio updates, and structured reporting workflows.
Team research workflow
Use team features on the Institutional plan to share outputs and export results across a research group.
Pros and Cons
Pros
- Covers research, screening, forensic risk, and automation in one finance-specific platform.
- Emphasizes sourced answers and citations, which helps with auditability.
- Provides broad coverage across 10,000+ companies and U.S. issuers/ADRs.
- Documents security practices such as encryption, MFA, access controls, and no training on customer data.
- Offers both individual and team-oriented plans, including sharing and export features on the higher tier.
Cons
- Pricing is split between a self-serve Core plan and a custom-priced Institutional plan, so larger teams may need to contact sales for details.
- The site does not publish full integration details, so setup requirements and connected tools are not clear from the available pages.
- Some capabilities are presented as product descriptions rather than full workflow documentation, so readers may need a trial to evaluate fit.
FAQ
What does Hudson Labs do?
Hudson Labs provides AI for finance focused on public markets research, forensic risk, and company coverage across U.S. issuers and ADRs.
Who is Hudson Labs for?
The product is built for institutional investors, research teams, analysts, and enterprise users who need sourced financial answers and auditability.
What kind of outputs does it generate?
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.
What plans are available?
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.
How does Hudson Labs handle customer data?
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.
Quick Facts
- Category
- AI for finance
- Primary users
- Institutional investors, analysts, research teams, and enterprise customers
- Platform
- Web-based product
- Source domain
- hudson-labs.com
- Coverage
- 10,000+ companies and U.S. issuers/ADRs
- Pricing shape
- Free trial plus paid Core and custom Institutional plans