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Tools📊 Data & AnalyticsHudson Labs (formerly Bedrock AI)
Hudson Labs (formerly Bedrock AI)

Hudson Labs (formerly Bedrock AI)

Freemium

High-precision AI for public markets research with a No Hallucination Guarantee

By Tanmay Verma, Founder · Last verified 03 Jul 2026

0 views
Added 5d ago
77/100Safe Bet
Visit Website

In short

Hudson Labs (formerly Bedrock AI) — High-precision AI for public markets research with a No Hallucination Guarantee. Best for Institutional equity analysts and portfolio managers needing high-precision financial data, Corporate strategy teams at Fortune 100 companies for market intelligence, Securities law firms conducting litigation research with forensic risk tools. Free to start; paid plans from $1001200/mo.

Compared withvs Geologicaivs Bitsgapvs Screenplayiq

Is Hudson Labs (formerly Bedrock AI) actually worth it?

Live

See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.

3 free scans · no card needed · downloadable report

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Editorial Verdict

Best for
Institutional equity analysts and portfolio managers needing high-precision financial dataCorporate strategy teams at Fortune 100 companies for market intelligenceSecurities law firms conducting litigation research with forensic risk toolsForensic accounting and risk management professionals assessing fraud riskIndependent researchers seeking bulletproof, sourced financial AI
Not ideal for
Individual retail investors who need free or low-cost toolsUsers relying on real-time market data or trading execution (not offered)Teams needing extensive pre-built integrations with popular BI tools (none listed)Beginners unfamiliar with financial analysis concepts and terminologyHeavy users needing more than 25 queries/day at the Core tier

Hudson Labs delivers on its promise of hallucination-free financial AI with real money on the line ($50 refund). For institutional analysts and forensic accountants, the precision justifies the premium. But its price and focus leave out retail investors and real-time traders.

Compare with: Hudson Labs (formerly Bedrock AI) vs GeologicAI, Hudson Labs (formerly Bedrock AI) vs Mineral (Alphabet X), Hudson Labs (formerly Bedrock AI) vs Robin AI

Last verified: July 2026

What's new in Hudson Labs (formerly Bedrock AI)

Checked 5 days ago

Across the latest 9 updates: 3 feature updates, 1 launch and 5 news mentions.

FeatureBlog·20 days agoNewest

Product Updates: Sentiment Screens, Insider Sales, SEC Comment Letters, No Hallucination Guarantee + More

Announced No Hallucination Guarantee, tone-based AI search, insider sales tracking, SEC comment letter chat.

LaunchBlog·21 days ago

Introducing “Tegus for Agentic Research”: Hudson Labs Deep Dive

Long-running AI agents read 500+ documents; same analysis would cost $13k in API tokens, available from $25.

FeatureBlog·22 days ago

The No Hallucination Guarantee

Every number backed by a guarantee: $50 refund if a figure can't be traced to source.

FeatureBlog·22 days ago

Hudson Labs Deep Dive for Creators, Journalists & Media

Free co-branded research for creators: they bring the angle, Hudson runs agents, and they publish first.

NewsBlog·28 days ago

Claude vs. Hudson Labs: AI for Finance

Claude offers generalist reasoning; Hudson Labs specializes in financial accuracy, restatement-adjusted numbers, and market-wide search.

NewsBlog·28 days ago

AlphaSense vs. Hudson Labs: AI for Finance

Positioning: AlphaSense focuses on content access; Hudson Labs focuses on precision analysis with sourced answers.

NewsBlog·Jun 3

Free and low cost alternatives to Bloomberg (Updated 2026)

Lists free/low-cost Bloomberg alternatives for investment research.

NewsBlog·Jun 2

You can follow the short sellers. Or you can use Hudson Labs to beat them.

Promotes using Hudson Labs to outperform short sellers.

NewsBlog·May 12

15 More Ways Investors Are Using AI in Their Research Workflow

Lists 15 real-world examples of AI use in investment research workflows.

What independent users actually report about Hudson Labs (formerly Bedrock AI)

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

43% positive57% critical
Recurring strengths
  • +No Hallucination Guarantee with traceable sources for every number.
  • +Forensic risk assessment aids securities class action prediction.
  • +Automates research across 500+ documents for deep analysis.
  • +Restatement-adjusted financials clean up accounting inconsistencies.
  • +Sentiment screens and insider sales tracking are unique features.
Recurring frustrations
  • −Zero public user reviews mean real-world performance is unverified.
  • −Pricing is opaque and likely prohibitive for individuals.
  • −No Hallucination Guarantee skepticism from AI experts.
  • −Lack of integrations limits workflow automation.
  • −Small cap coverage depth is not clearly documented.
Patterns worth knowing
No Hallucination Guarantee seen as bold but unproven
Seen on Reddit, Hacker News, YouTube
Opaque pricing and enterprise focus exclude smaller buyers
Seen on Reddit, Product Hunt
Lack of independent reviews undermines trust
Seen on Reddit, Hacker News, YouTube
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
  • • Custom pricing requires consultation — no self-serve
  • • Hardware or training costs not disclosed

Viability Score

77/100
Safe Bet

How likely is Hudson Labs (formerly Bedrock AI) to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
80
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • AI-powered Co-Analyst with sourced answers and citations
  • Market Intelligence for idea generation and sector primers
  • Forensic Risk Assessment for securities class action prediction
  • Agentic automations (Deep Dive) across 500+ documents
  • Sentiment Screens (tone-based AI search)
  • Insider sales tracking
  • SEC comment letter chat
  • Consensus estimates integration
  • 10,000+ company coverage
  • Restatement-adjusted financial numbers
  • Complete hard-and-soft guidance extraction
  • No Hallucination Guarantee ($50 refund per hallucination)
  • Noise suppression and boilerplate removal
  • Mathematical reasoning tuned for financial precision

About Hudson Labs (formerly Bedrock AI)

FreemiumAdvancedNo APIWeb

Hudson Labs (formerly Bedrock AI) is an AI-powered equity research platform built for institutional investors, corporate strategy teams, and securities law firms. Founded in 2019, it launched the first financial software fully powered by LLMs in 2021. The platform converts unstructured financial data — SEC filings, earnings calls, press releases — into actionable insights with sourced answers and citations. Its proprietary AI systems, developed since 2019, include noise suppression, boilerplate removal, and mathematical reasoning tuned for financial precision, achieving a claimed 99.5% financial accuracy. The core product suite includes the Co-Analyst for accelerating research, Market Intelligence for idea generation and sector primers, and Forensic Risk Assessment for securities class action prediction and accounting fraud detection. Users can run agentic research workflows that read across 500+ documents to produce original analysis, costing as little as $25 per deep dive. Recent additions include Sentiment Screens for tone-based AI search, insider sales tracking, and SEC comment letter chat. Hudson Labs differentiates with its No Hallucination Guarantee launched in June 2026: every number is traceable to source, and users receive a $50 refund per hallucination. The platform covers 10,000+ companies, integrates consensus estimates and restatement-adjusted financials, and serves clients managing over $600 billion in assets. Its CTO, Suhas Pai, authored the O'Reilly textbook "Designing Large Language Model Applications." Versus alternatives like AlphaSense, Hudson Labs focuses on analytical precision rather than content access. It's best for professionals needing bulletproof financial accuracy, not for traders or retail investors needing real-time data or low cost.

Behind the Verdict

Hudson Labs is not another ChatGPT wrapper. It's a purpose-built financial AI that has been in development since 2019, years before the LLM boom. The platform's strength is its obsession with precision—every number output is traceable to a source document. The No Hallucination Guarantee is a bold, trust-building move that competitors haven't matched. Where it shines is in complex research workflows. The agentic research feature (Deep Dive) can stitch together insights from 500+ documents, something that would take hours manually. For an equity analyst covering hundreds of companies, this is a legitimate time-saver. The forensic risk tools are also unique, predicting securities class action risk with proprietary models. However, Hudson Labs is not a general-purpose research tool. Its coverage is limited to public markets—no private companies, no real-time market data or trading execution. The Core plan limits queries to 25 per day, which may feel restrictive for heavy users. And with pricing starting at $100/month, it's out of reach for most individual investors. Compared to AlphaSense, Hudson Labs is less about content aggregation and more about analysis. AlphaSense gives you access to transcripts and filings; Hudson Labs synthesizes them. For deep research, Hudson Labs is superior. But if you need breadth of sources, AlphaSense may still win. In practice, we'd recommend Hudson Labs for institutional analysts, forensic accountants, and securities lawyers. Skip it if you're a retail investor needing low-cost or real-time data, or if you want extensive third-party integrations (it has none). The platform is laser-focused on its niche, and that's a feature, not a bug.

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Use Cases

  • Accelerate company analysis by extracting key financial figures from SEC filings in seconds with citations.
  • Monitor insider sales and sentiment shifts across thousands of companies using AI-driven screens.
  • Generate custom sector primers by running agentic research over hundreds of documents.
  • Identify potential securities fraud using forensic risk models trained on class action data.
  • Draft litigation research memos with AI-sourced evidence from comment letters and filings.

Limitations

  • Free tier is not available; only a free trial.
  • Core plan limits to 25 queries per day and only 1 agentic automation.
  • No API access mentioned, so integration with other tools may be limited.
  • The platform is web-only, with no mobile or desktop apps.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Resources & Guides

  • Resourcehudson-labs.com

    Home · Hudson Labs (formerly Bedrock AI)

    Helpful link from hudson-labs.com

Frequently Asked Questions

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Details

Pricing
Freemium
Skill Level
Advanced
Platforms
Web
API Available
No
Pricing & overview verified
5d ago

Categories

📊 Data & Analytics💼 Business & Finance

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