Hudson Labs (formerly Bedrock AI)

The honest way to think about Hudson Labs is as a precision instrument, not a research terminal. Its coverage is deliberately one slice of the market — US public filers — and inside that slice it does things general-purpose AI assistants cannot reliably do. What it does well. Restatement-adjusted multi-period numbers are the clearest differentiator: the platform pulls figures directly from unstructured source documents and adjusts for restatements, so a five-year revenue line doesn't quietly mix pre- and post-restatement figures. Every result carries a link back to the filing, and the No Hallucination Guarantee pays $50 when a cited figure can't be traced to source — a vendor putting money behind an accuracy claim is rare enough to note. Sentiment tracking scores confidence, stress, deflection and frustration, and Sentiment Screens let you run that filter across the whole filing universe instead of reading calls one at a time. Insider sales tracking, SEC comment letter chat and custom event-tracking agents cover the disclosures analysts usually get to last. The Deep Dive agent reads 500+ documents per report starting at $25, which the company contrasts with roughly $13,000 in equivalent raw API calls. If you write in Claude, the August 2026 MCP integration means the same data is queryable inside that assistant. Where it strains. Breadth is not the pitch and it shows: AlphaSense and Bloomberg cover news, broker research and market data that Hudson Labs does not. There is no real-time quote feed and no trade execution, so it is not a trading desk tool. The filing universe is US public filers, which rules out private companies and non-US issuers. The interface assumes you already think in filings, restatements, comment letters and guidance — a reader without that vocabulary faces a real learning curve. And Deep Dive reports bill per dive at $25, so a heavy research month adds meaningfully on top of the subscription. Who should look closely. Institutional equity analysts and PMs who rebuild multi-period numbers across a coverage list and need each figure defensible in an IC memo. Securities litigators — the forensic risk work on class action prediction and accounting fraud assessment is aimed squarely at that workflow, and Kirby McInerney's Tom Elrod is quoted calling it a significant process improvement. Corporate strategy and IR teams tracking how peers talk on calls. Research desks that want agentic deep dives without paying raw token costs. Who should not: retail investors shopping for a sub-$20/month stock screener, traders who need live quotes and execution, teams covering private or non-US companies, and anyone who won't validate AI-extracted figures before they hit a client deliverable. On pricing, Core is $99/month if you pay month-to-month or $1,188/year billed annually — the annual rate works out to roughly two months free, so it only makes sense if you've already decided the tool is staying.