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Hudson Labs

by Hudson Labs@hudsonlabsYC S21No ratings yet

AI research and analysis for US public markets.

Visit hudson-labs.com
Tool type
AI public-markets research software
Made for
Analysts, researchers and institutional teams
Runs on
Web platform
The site links to a platform sign-in; operating-system and browser requirements are not specified.
Last checked
2 Nov 2026
4 product sources

What it does

Hudson Labs is a financial research platform for public-market investors and analysts. It searches SEC filings, company presentations and conference-call transcripts, letting users ask questions and retrieve figures, quotations and analysis from those materials. Its stated coverage includes every US public filer; the homepage also describes a larger collection of filings, presentations and calls.

Co-Analyst supports market-wide AI search, restatement-adjusted figures, guidance modelling and tracking themes across filings and calls. Institutional adds proprietary forensic-risk analysis, team sharing, exports and higher usage; those features are not included in the Core entitlement. Results provide research material for analyst review, not definitive findings about fraud or investment outcomes. Access uses the Hudson Labs web platform, with online trial signup.

The product is aimed at individual analysts and researchers, with an Institutional plan for teams that need higher usage limits, exports and dedicated support. Core includes pre-built and custom agents and a 14-day trial. The Institutional plan requires contacting sales. Consider that plan limits differ, the advertised risk assessments are analytical signals rather than definitive conclusions, and public evidence does not clarify seat minimums or the basis on which plan pricing applies.

What it can do

  • AI search across SEC filings and conference calls
  • Extract figures, quotations and analysis from financial documents
  • Restatement-adjusted multi-period figures
  • Guidance modelling
  • Track themes and inflection points
  • Institutional: forensic-risk analysis and red-flag screening

Before you choose

  • The trial lasts 14 days; Core then has paid monthly or annual billing options.
  • Institutional pricing is not displayed and requires contacting sales; its listed benefits include higher usage limits and team features.
  • The available evidence does not clarify plan seat basis or seat minimums.

Listed under

Get started

Core signup is offered online; Institutional access directs visitors to sales.

  1. Open the Hudson Labs website and select Start free trial.
  2. Create an account through the platform signup page.
  3. Choose Core for individual use, or contact sales about the Institutional plan.
Start a 14-day free trial

Plans and prices

Core offers monthly and annual billing; do not treat the annual $99/month equivalent as a monthly-billed rate. Institutional pricing is by sales contact. Seat basis and minimum are not specified.

Core$119/moMonthly billing; alternatively $1,188/year, not an additional charge.
  • Market-wide AI search with Co-Analyst
  • Restatement-adjusted numbers
  • Guidance model
  • Pre-built and custom agents
  • Every US public filer
  • Research Library access
InstitutionalCustomContact sales for pricing.
  • Everything in Core
  • 5x the usage
  • Proprietary forensic risk analysis and red flags
  • Unlimited agentic automations
  • Team sharing and export features
  • Dedicated support

14-day free trial.

Source: hudson-labs.com/pricing, checked 2 Nov 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 2 Nov 2026. Each source supports part of the overview; availability and prices can change.

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What’s changed

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Signals

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Data and security

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Training on your files, compliance, hosting and the models behind it. Free with an account.

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Where this comes from

How we research
Company website
hudson-labs.com: product, pricing and policy pages
YC directory mirror
Batch and company name
Social accounts
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Human review
Checked by a person
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Last checked 2 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.