Hudson Labs (formerly Bedrock AI) GTM brain

category

market profile

• text: Public-market research requires analysts to extract guidance, metrics and risk signals from large collections of filings and earnings calls.
• text: Errors and unsupported AI answers are especially costly in investment and securities-law workflows, making traceability a purchase criterion.

personas

• title: Buy-side equity research analyst
  pains:

  • Extracting comparable operating metrics and management guidance from filings and calls takes hours.
  • A missed change in disclosure or a fabricated number can undermine an investment thesis.
• title: Portfolio manager or head of research
  pains:

  • Small teams must monitor a broad universe of securities and surface material catalysts quickly.
  • Needs a repeatable process for identifying accounting or litigation risk.
• title: Securities litigation partner
  pains:

  • Searching historical filings for inconsistencies and potential fraud is labor intensive.
  • Investigations require defensible underlying evidence rather than unsupported AI summaries.

icp

• text: Institutional investors researching US public companies are the core target, from individual analysts to institutional teams.
• text: Securities law firms and corporate strategy teams are adjacent customers; the site also names banking and insurance use cases.
• text: The company reports users managing over $600 billion in aggregate AUM; no minimum fund size is stated.

message pillars

• text: Position the product as a research co-analyst for public markets.
• text: Support financial analysis with a broad source corpus.
• text: Surface accounting and litigation risks alongside research.

objections

• objection: How can analysts trust AI-generated figures?
  response: Evaluate cited answers and restatement handling against a known set of filings, and inspect the terms of the stated guarantee.
• objection: We already have a research terminal.
  response: Pilot a time-intensive guidance or forensic workflow alongside the incumbent and measure incremental coverage and time saved.
• objection: Will the individual plan meet a team deployment's needs?
  response: Compare usage limits, exports, sharing and support with the institutional plan before procurement.

competitors

• name: AlphaSense
  why: Investment research and financial document search platform named in Hudson's research software comparison.
• name: Fintool
  why: AI financial research platform identified among Hudson competitors.
• name: Boosted.ai
  why: Finance AI provider listed in a competitor directory.

influencers

• name: Suhas Pai
  why: CTO and co-founder, author of a book on LLM applications, relevant to the company's AI credibility.
• name: Kris Bennatti
  url: https://www.ycombinator.com/founders/kris-bennatti
  why: CEO and co-founder with financial and data-science expertise.

keywords

• AI equity research
• SEC filing analysis software
• investment research AI
• financial statement restatement analysis
• earnings call search
• accounting fraud detection

voice

• Institutional and evidence-oriented
• Technical and confident
• Focused on speed and precision

signals

• text: A fund is expanding coverage of US public equities without proportionately increasing analyst headcount.
• text: A research or litigation team is evaluating AI tools for SEC filings, guidance or forensic screening.

pricing

motion

channels

• SEO
• website
• free trial
• press

confidence

Founders

• name: Kris Bennatti
  title: Founder
  role: Founder
  bio: Kris is a Python developer, CPA, and statistician. She has been published by the Harvard Law School Forum on Corporate Governance and the Conference Board and was previously a data scientist in the corporate governance field and Python programming instructor.