AllMind vs Hudson Labs

Yes for SEC filings, and no once the question leaves EDGAR. Hudson Labs covers all US public issuers and over 1,400 ADRs (company FAQ, June 23 2025), prioritizes restatement-adjusted figures, extracts hard and soft guidance, cites every number to its document, and refunds $50 per confirmed numeric hallucination on core document types under a narrow guarantee.

It carries no broker research, no expert-call transcripts, no newswires and no filings from SEDAR, the LSE or the ASX, and its own June 11 2026 comparison lists pre-made models among the things it cannot give you. AllMind is the broader system, Hudson Labs the deeper one on a narrower corpus.

Hudson Labs Core is $99 a month on annual billing, shown as $1,188 a year, or $119 billed monthly, with a 14-day free trial, while AllMind publishes no price at all (hudson-labs.com/pricing, August 2026).

Institutional is quote-only, and it carries the forensic risk scores, unlimited automations, team sharing, export and the Claude connector. A June 3 2026 company post puts Core at 25 queries a day and Institutional at 140 per seat, and says Institutional “starts at around $15,000 per team per year”, none of it on /pricing.

AllMind is quote-based with no self-serve checkout and no monthly plan, and does not publish what a quote is built from.

AllMind does and Hudson Labs does not. AllMind publishes global filing coverage and 40+ exchange and venue feeds, with EDGAR and SEDAR+ named and the honest limit that live markets span North America and Europe.

Hudson Labs covers all US public issuers and over 1,400 ADRs, excludes asset-backed securities, and provides no forensic risk coverage for ADRs at all (company FAQ, June 23 2025, still live August 2026). Issuers based elsewhere reach it only through EDGAR, as ADRs and 20-Fs, and every screen and risk score inherits that boundary.

An entirely US-listed book loses nothing to that boundary; one holding Canadian, UK or Australian names does.

AllMind does; Hudson Labs does not. Snowflake, Databricks and S3 are reached through a scoped IAM role and queried in place, and Data Rooms sync folders from Google Drive and OneDrive. Internal data lands in the same ontology as the external corpus, so an agent joins your estimates to filings and entitled research in one pass, under entitlements it inherits and cannot widen.

Hudson Labs works from its own licensed library. Its June 19 2026 update listed a OneNote connector in beta, with OneDrive and upload coming soon, and an independent review published January 1 2026 found uploaded files were not supported then. Check its current state before deciding.

Run a tone screen in Hudson Labs, which since its June 19 2026 release lets you source ideas based on stress, confidence, deflection, anger or frustration, in its own wording. The same release added guidance versus actuals over time and insider sales tracking. Other Hudson Labs pages word the signal list differently, so read any one list as a sample.

AllMind’s approved public claims document no equivalent tone screen. What it adds is the layer after the screen: flagged names researched against entitled content and your own estimates in one ontology, then written up as a memo or a deck with every figure traced to its source passage.

No, and the company says so itself. Its June 11 2026 comparison lists pre-made models among the things you cannot get from Hudson Labs. The output shape is a sourced answer, a multi-period table you can export, a scheduled agent report by email or Microsoft Teams, and a commissioned Deep Dive project.

AllMind builds the artifact: Excel models including DCF, LBO and comps with live formulas, Word memos and research notes, decks drawn from 20+ investment-bank templates, and edits to existing PPTX, DOCX and XLSX files. The caveat: AllMind writes into a supplied template, so a bespoke house format still needs a formatting pass, and the call stays the analyst’s.

AllMind is SOC 2 Type II certified as of November 2025; Hudson Labs states alignment with SOC 2 standards and claims no attestation. AllMind also runs AES-256 at rest and TLS 1.3 in transit, does not train on customer data and holds zero data retention across model vendors. ISO 27001 is targeted for Q1 2027 there, not certified.

Hudson Labs names an annual independent penetration test last run in September 2025, TLS 1.2 or better, AES-256 and AWS hosting in US and Canada regions. Alignment and attestation are different answers on a procurement questionnaire, and the accurate reading is that Hudson Labs claims no attestation publicly, not that it is uncertified.

Yes, and the pairing is coherent. Hudson Labs is the forensic and precision layer over US filings: restatement-adjusted series, guidance extraction, tone screens and a fraud-risk score that decomposes into eight categories. AllMind is the workspace where entitled content, your own systems and the finished deliverable meet.

The catch is cost shape rather than overlap, because the forensic scores and the Claude connector sit on the quote-only Institutional plan, so a team that wants the red flags is in a sales conversation anyway. Small institutional teams often gain most from consolidating onto AllMind, since one contract can stand in for several subscriptions a two-person desk would never sign separately.