Hudson Labs (formerly Bedrock AI)
High-precision AI for US public markets research with a No Hallucination Guarantee
For institutional analysts who can't afford errors, Hudson Labs is the most trustworthy financial AI we've tested. The No Hallucination Guarantee and Deep Dive agent set it apart from AlphaSense and Bloomberg. But it's overkill for retail investors and lacks real-time trading features. If you need precision and can stomach the price, it's a strong buy.
Verified 2d ago · liveness 48/100 · cite: rightaichoice.com/tools/hudson-labs-formerly-bedrock-ai
- Institutional equity analysts needing sourced, hallucination-free financial data
- Corporate strategy teams at Fortune 100 companies for market intelligence
- Securities law firms conducting litigation research with forensic risk tools
- Portfolio managers requiring restatement-adjusted numbers and guidance models
- Individual retail investors who need free or low-cost tools
- Users relying on real-time market data or trading execution (not offered)
- Teams needing extensive pre-built integrations with BI tools, Slack, or Excel (none listed)
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Skip Hudson Labs if you're a retail investor needing free tools, rely on real-time trading data, or require integrations with Slack, Excel, or BI platforms—none are listed.
Core plans are annual-only for the $1188/year rate; monthly is $99 but you miss the 2 months free equivalent.
Hudson Labs' Core at $99/month fits professional analysts who need precision; it's pricier than generic AI like ChatGPT but cheaper than Bloomberg Terminal's $2,000+/month. Institutional pricing is custom, targeting large teams with higher usage and forensic risk needs.
In short
Hudson Labs (formerly Bedrock AI) — High-precision AI for US public markets research with a No Hallucination Guarantee. Best for Institutional equity analysts needing sourced, hallucination-free 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 $991188/mo.
What's new in Hudson Labs (formerly Bedrock AI)
Checked 2 days agoAcross the latest 4 updates: 2 feature updates and 2 launches.
New agent feature tracks specific events across conference calls and SEC filings
Users can now set custom alerts for arbitrary events (e.g., guidance changes, risk mentions) across all filings and calls, enabling automated monitoring.
Product Updates: Sentiment Screens, Insider Sales, SEC Comment Letters, No Hallucination Guarantee + More
Launched tone-based search, insider sales tracking, SEC comment letter chat, and the $50 No Hallucination Guarantee.
Introducing 'Tegus for Agentic Research': Hudson Labs Deep Dive
Released agentic research that analyzes 500+ documents per dive, priced from $25 per dive (equivalent API cost $13,000).
Hudson Labs Deep Dive for Creators, Journalists & Media
Introduced a free co-branded program where creators and journalists can publish agentic research with Hudson Labs branding.
What people actually say about Hudson Labs (formerly Bedrock AI) — is it worth it?
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.
- +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.
- −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.
- • Custom pricing requires consultation — no self-serve
- • Hardware or training costs not disclosed
Viability Score
How well maintained and how widely used is Hudson Labs (formerly Bedrock AI)? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Co-Analyst AI search with citations
- Restatement-adjusted financial numbers
- Guidance modeling from earnings cues
- Tone and sentiment tracking (confidence, stress, deflection)
- Sentiment Screens for tone-based search
- Agentic Deep Dive analyzing 500+ documents
- No Hallucination Guarantee with $50 refund
- Forensic Risk Assessment for class action prediction
- Insider sales tracking
- SEC comment letter chat
- Market Intelligence for idea generation
- Custom event tracking across filings and calls
- Coverage of 10,000+ U.S. companies
- Noise suppression and boilerplate removal
- Financial math reasoning tuned for precision
About Hudson Labs (formerly Bedrock AI)
Hudson Labs, formerly Bedrock AI, is an institutional-grade AI platform for US public markets research. It turns unstructured financial data—SEC filings, earnings calls, press releases—into sourced, auditable insights. Founded in 2019, it launched the first LLM-powered financial software in 2021. The platform serves equity analysts, portfolio managers, corporate strategy teams, and securities law firms. Its proprietary AI includes noise suppression, boilerplate removal, and financial math reasoning, achieving 99.5% financial accuracy. Core products: Co-Analyst (AI search with citations), Market Intelligence (idea generation), and Forensic Risk Assessment (class-action prediction and fraud detection). Recent additions (June 2026) include Sentiment Screens for tone-based search, insider sales tracking, SEC comment letter chat, and the No Hallucination Guarantee. The new Deep Dive agent runs across 500+ documents starting at $25 per dive. Unlike AlphaSense, Hudson Labs prioritizes analytical precision over content breadth—every number is traceable to source, and hallucinations cost Hudson Labs $50 each.
Behind the Verdict
Hudson Labs distinguishes itself with a hard guarantee: every figure is traceable to source, and if they fail, they refund $50. That's a bold move in a space where hallucinated numbers can cost millions. Their proprietary retrieval and financial math reasoning deliver 99.5% accuracy, verified by independent reviews. Co-Analyst lets you ask questions and get cited answers from SEC filings. Restatement-adjusted numbers are a huge time-saver—you're not wading through old figures. Sentiment Screens (June 2026) let you search by tone, which is great for spotting management stress. Insider sales tracking and SEC comment letter chat round out the forensic toolkit. Deep Dive is a game-changer: it analyzes 500+ documents in one go, priced from $25 per dive—a fraction of what you'd pay for manual research. However, it's not for everyone. The platform is US-markets only. You won't get real-time quotes or execution. There are no pre-built integrations with Slack or Excel (one of the few gaps). And the pricing—$99/month for Core, custom for Institutional—fits serious professionals, not hobbyists. If you're a retail investor or just need quick answers, free tools like Yahoo Finance or a basic ChatGPT will suffice. But if your job depends on getting numbers right, Hudson Labs is worth every penny.
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Real-world workflow fit
Concrete scenarios for the personas Hudson Labs (formerly Bedrock AI) actually fits — and what changes day-one when you adopt it.
You're analyzing a company's 10-K. You ask Co-Analyst for revenue, adjusted earnings, and guidance changes. It pulls sourcing figures from the filing, showing restatement-adjusted numbers. You then run a Deep Dive to analyze management's tone across earnings calls, generating a report in 20 minutes instead of 3 hours.
Outcome: You produce a documented, error-free research note with cited figures, saving hours.
You're building a fraud case. You use Forensic Risk Assessment to evaluate class action likelihood, then chat with SEC comment letters to find red flags. You set up custom alerts for insider sales and risk mentions.
Outcome: You gather evidence with traceable sources, strengthening your case.
You need a sector overview. You use Deep Dive to analyze 500+ documents, generating a market intelligence report. You then export findings for your team via Institutional features.
Outcome: You deliver a comprehensive, data-backed sector primer in days, not weeks.
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.
- Track specific events like guidance changes or risk mentions across all conference calls and filings.
- Create public research reports via the free co-branded Deep Dive program for creators and journalists.
Limitations
- Hudson Labs is a specialized AI research platform for US public markets, not a general-purpose AI with an underlying named model.
- The platform offers a 14-day free trial with paid Core and Institutional plans, where Core is $99/month or $1188/year.
- Deep Dive agentic research starts at $25 per dive, and the No Hallucination Guarantee provides a $50 refund for any figure that cannot be traced to a source.
as of 2026-08-21
Verification history
We have re-verified Hudson Labs (formerly Bedrock AI) 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Hudson Labs (formerly Bedrock AI) tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Core
$99/mo or $1188/yr
Ideal for
Individual analysts and researchers who need error-free AI search and SEC filing analysis, with access to all US public filers and research library.
What this tier adds
Access to Co-Analyst, restatement-adjusted numbers, guidance model, pre-built & custom agents, and research library. It's the first paid tier.
Institutional
Custom
Ideal for
Institutional teams in asset management, corporate strategy, and law firms that need higher usage, forensic risk tools, and team collaboration.
What this tier adds
Adds 5x usage, proprietary forensic risk analysis, unlimited agentic automations, team sharing and export, dedicated support.
Where the pricing makes sense
The company stage and team size where Hudson Labs (formerly Bedrock AI)'s pricing actually pencils out — and where peers do it cheaper.
Hudson Labs' Core at $99/month fits professional analysts who need precision; it's pricier than generic AI like ChatGPT but cheaper than Bloomberg Terminal's $2,000+/month. Institutional pricing is custom, targeting large teams with higher usage and forensic risk needs.
Setup time & first value
How long it actually takes to get something useful out of Hudson Labs (formerly Bedrock AI) — broken out by persona, not the marketing-page minute.
For most users, getting started is quick: sign up, run a few queries to learn the interface, and you're productive within an hour. Deep Dive setup may take a bit longer as you configure agents for your specific needs, but the free trial gives you 14 days to experiment.
Switching to or from Hudson Labs (formerly Bedrock AI)
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual research: Replace your process of reading EDGAR filings by hand by using Co-Analyst to search and cite figures directly.
- ↗To AlphaSense: Export your research notes and any downloaded reports, then re-upload them to AlphaSense's platform (no direct export tool).
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Hudson Labs (formerly Bedrock AI)
Common stack mates teams adopt alongside Hudson Labs (formerly Bedrock AI), with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
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Hudson Labs Formerly Bedrock Ai vs Screenplayiq
ScreenplayIQ and Hudson Labs serve entirely different domains: ScreenplayIQ is for film industry professionals who want data-driven script feedback and box office predictions, while Hudson Labs is a high-precision financial research platform for institutional investors and corporate strategists. If you're a screenwriter or producer, ScreenplayIQ's free tier and paid plans offer specialized script analysis. If you're an equity analyst or securities lawyer requiring bulletproof, sourced financial AI with a no-hallucination guarantee, Hudson Labs is the superior choice. Choose based on your industry and need for financial accuracy vs. narrative marketability.
Hudson Labs Formerly Bedrock Ai vs Bitsgap
Choose Hudson Labs if you need institutional-grade financial analysis with sourced, hallucination-free data for public equities. Choose Bitsgap if you want automated crypto trading bots across multiple exchanges with risk-free demo testing. They serve completely different needs – one is for deep research, the other for automated trading. No overlap.
Alternatives to Hudson Labs (formerly Bedrock AI)
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Gorilla Terminal
AI investment research platform that summarizes earnings calls, SEC filings, and market data in one place.
AlphaSense
AI market intelligence platform with cited insights from 500M+ premium documents.
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