# Hudson Labs

> High-precision AI for public markets. Institutional-grade intelligence covering guidance, catalysts, accounting red flags, and financial drivers.

Hudson Labs is an AI-powered financial research platform built for institutional investors, corporate strategy teams, securities litigation firms, brokerage and banking teams, D&O insurers, and investor relations professionals. Founded in 2019, Hudson Labs was the first finance-specific software completely powered by language models. Backed by Y Combinator.

Trusted by institutional investors managing over $1 trillion in assets.

## Products

- [The Co-Analyst](/products#co-analyst): AI research terminal with the precision of a terminal and the adaptability of AI. Multi-period, multi-document results with complete auditability.
- [Market Intelligence](/products#market-intelligence): Next generation screening combining AI with fundamentals. AI-powered screening, peer comparisons, sector primers, and thematic deep dives.
- [Forensic Risk Assessment](/products#forensic): AI-driven forensic risk scores that predict the likelihood of fraud using unstructured data points like related party, accounting, and off-balance sheet risk.
- [Agents](/products#agents): Custom automations for earnings, research, and portfolio monitoring. Set up workflows that run on your schedule and deliver results directly to you.
- [Coverage Universe](/products#coverage): Comprehensive coverage across all U.S. issuers and ADRs — SEC filings, transcripts, investor decks, press releases, fundamental metrics, and consensus estimates sourced from S&P Market Intelligence.

## Solutions

- [Institutional Investing](/institutional-investing): Enhance idea velocity and deepen conviction. Get up to speed on new names in hours, cut earnings prep in half, automate research workflows.
- [Corporate Strategy](/corporate-strategy): Track competitors, customers, and market trends. Automate earnings prep and competitive intelligence.
- [Securities Law](/securities-law): Accelerate early-stage case review. Identify cases using price-decline triggers, locate corrective disclosures, predict fraud risk.
- [Brokerage & Banking](/brokerage-banking): Move from raw filings to polished reporting in minutes. Extract segment/KPI data, build models faster.
- [Public D&O Insurance](/insurance): Automate underwriting worksheets, predict fraud-related SCAs, prepare for management meetings.
- [Investor Relations](/investor-relations): Monitor peer disclosures, prepare for earnings, benchmark KPIs and guidance against peers.

## Pricing

- **Core**: $100/month (annual) or $120/month (monthly). 25 queries/day, full Co-Analyst access.
- **Institutional**: Custom pricing. Includes forensic risk scores, automations, 140 queries/day/seat, dedicated support.
- **Free Trial**: 14 days, 25 queries/day.

## Technology

The Co-Analyst extracts financial data with 99% accuracy and zero hallucination. On the Vals AI financial retrieval benchmark, leading general-purpose models (GPT-5.2, GPT-5.1, Opus 4.5) score 53–57%. Purpose-built AI with proprietary relevance ranking, noise suppression, boilerplate removal, guidance identification, and mathematical reasoning. Every output has a direct, traceable connection to source material.

## By the Numbers

- $600B+ in client AUM
- 10,000+ companies covered
- 99% financial accuracy
- 250M+ sources

## Company

- [About](/about): Founded in 2019 by Kris Bennatti (CEO) and Suhas Pai (CTO). Suhas authored "Designing Large Language Model Applications" (O'Reilly).
- [Technology](/technology): How Hudson Labs achieves precision at scale for public market research.
- [In the Media](/in-the-media): Featured in Bloomberg, Wall Street Journal, Forbes, CNBC, Financial Times, and more.
- [Blog](/blog): Industry insights, product updates, and research.
- [Research](/research): Co-Analyst generated research articles and company analyses.
- [Careers](/careers): Open positions at Hudson Labs.
- [Newsletter](/newsletter): Actionable insights on how investors are using AI, delivered twice weekly.

## Research & Whitepapers

- [Predicting Class Action Lawsuits](/fraud-lawsuits): Research on how Hudson Labs' risk indicator scores can predict securities class action lawsuits.
- [Hudson Labs vs. Generalist AI](/generalist-ai): Common failure modes of generalist AI models and solutions for finance.
- [Price Impact of Risk Scores](/whitepaper): Backtest analysis measuring the price impact of Hudson Labs risk scores on public equities.

## Contact

- Website: https://hudson-labs.com
- App: https://platform.hudson-labs.com
- Email: info@hudson-labs.com
- LinkedIn: https://www.linkedin.com/company/hudson-labs
- Twitter/X: https://x.com/HudsonLabs

## Detailed Content

For full content including all blog posts and research articles, see: [/llms-full.txt](/llms-full.txt)