
High-precision AI for public markets research with a No Hallucination Guarantee
By Tanmay Verma, Founder · Last verified 03 Jul 2026
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.
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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.
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Last verified: July 2026
Across the latest 9 updates: 3 feature updates, 1 launch and 5 news mentions.
Announced No Hallucination Guarantee, tone-based AI search, insider sales tracking, SEC comment letter chat.
Long-running AI agents read 500+ documents; same analysis would cost $13k in API tokens, available from $25.
Every number backed by a guarantee: $50 refund if a figure can't be traced to source.
Free co-branded research for creators: they bring the angle, Hudson runs agents, and they publish first.
Claude offers generalist reasoning; Hudson Labs specializes in financial accuracy, restatement-adjusted numbers, and market-wide search.
Positioning: AlphaSense focuses on content access; Hudson Labs focuses on precision analysis with sourced answers.
Lists free/low-cost Bloomberg alternatives for investment research.
Promotes using Hudson Labs to outperform short sellers.
Lists 15 real-world examples of AI use in investment research workflows.
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.
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.
Last calculated: July 2026
How we score →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.
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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