The Hudson Labs Co-Analyst
Hudson Labs · Coding · Business
The Hudson Labs Co-Analyst is a financial AI research platform for institutional investors. It answers questions from SEC filings, earnings calls, and investor decks, and cites every source.
About The Hudson Labs Co-Analyst
What Is The Hudson Labs Co-Analyst
The Hudson Labs Co-Analyst is an AI research platform built for institutional investors and analysts who work through financial filings for a living. You ask a question in plain English, and it returns figures pulled from primary documents, each one linked back to the filing or transcript it came from. The pitch is simple: searchers, not guessers. Every number carries a citation, so you can check the math before it reaches a report.
The problem it targets is the reading load. A single 10-K runs hundreds of pages, and an analyst tracking 40 companies faces thousands of pages a quarter. Traditional screeners cover structured numbers but miss what sits inside the text. The Co-Analyst reads both, then stitches them together, so a question about margin guidance can surface the exact sentence a CFO used and the segment table that backs it up.
The limits are worth knowing up front. Hudson Labs says it covers all U.S. public filers and ADRs, so non-U.S. listings and private companies sit outside its reach. The platform leans on S&P Market Intelligence for consensus data and could carry that vendor's gaps. And the Core plan starts at $99 a month, which puts it well past casual retail investors.
Getting Started
- Sign up for the 14-day free trial on the Hudson Labs platform and pick a plan.
- Ask a research question in plain language, such as how a retailer's renewal rates moved across the last four quarters.
- Open the answer, then follow each inline citation back to the source filing or transcript to verify the figure.
- Save the output to the Research Library, run a screening query, or connect Google Drive and OneDrive to fold in your own documents.
- Set up a custom agent to re-run the same workflow on the schedule you want.
Product Information
A quick look at The Hudson Labs Co-Analyst's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Buy-side analysts covering U.S. equities
- Forensic accountants and short sellers hunting red flags
- Corporate strategy and IR teams at large firms
Tasks
- Pulling multi-period metrics from filings
- Tracking forward guidance through management's exact wording
- Running thematic screens across a universe of companies
Scenarios
- A quarterly earnings season where you need to compare guidance across 30 portfolio names in a weekend
- A first pass on a company facing an SEC inquiry
- An investment committee memo that needs every figure traceable
Key features
High-Precision Sourced Answers
The Co-Analyst answers questions with results pulled from primary documents and attaches a citation to each one. Multi-period, multi-document queries return a table you can verify line by line. According to the company, this is the core difference from a general chatbot that summarizes without pointing to a source.
Guidance Model
Financial guidance is where wording matters as much as the number. The guidance model captures forward-looking statements in full, including the hedges and qualifiers a CFO slips in, so a trimmed outlook doesn't slip past you. It tracks how management revises its own projections over time.
Forensic Risk Scoring
Hudson Labs built a proprietary forensic risk score that rates the likelihood of fraud using unstructured signals such as related-party deals, accounting red flags, and off-balance-sheet exposure. The company says high-risk companies are 3x more likely to face fraud lawsuits. The score breaks into categories like earnings quality, internal controls, and governance, and it sits behind the Institutional plan.
AI-Powered Screening and Discovery
The search layer combines natural-language queries with fundamental metrics, so you can screen without building a filter from scratch. It supports peer comparisons, sector primers, and thematic deep dives across a market of more than 10,000 public companies. You can also filter by forensic risk to flag suspect names at scale.
Custom Agents and Automations
You can build your own agent to automate earnings reviews, research pulls, and portfolio monitoring. Agents run on your schedule and deliver results to you, which suits recurring tasks that would otherwise eat an analyst's week. The Institutional plan lifts the cap on agentic automations.
Research Library and Connectors
The platform ships pre-built research reports that synthesize filings, transcripts, press releases, and web data, with the top reports drawing on 500 or more sources. These run ahead of time, so there's no wait and no token cost. You can connect Google Drive and OneDrive to bring internal documents into the same workspace, and an MCP connection pushes sourced coverage into Claude.
Pros and cons
Pros
- Every answer carries a citation back to the source filing, so you can verify figures before they leave your desk
- Covers all U.S. public filers and ADRs, with SEC filings, call transcripts, decks, and press releases in one place
- The forensic risk score adds a fraud signal that a standard fundamentals screen doesn't offer
- A 14-day free trial and a $99 Core plan let a solo analyst test the workflow before committing
- An MCP connection lets you pull sourced coverage into Claude instead of switching tools
Cons
- The Core plan starts at $99 a month, so it's priced for professionals rather than casual investors
- Coverage stops at U.S. public filers and ADRs, leaving foreign listings and private companies out
- The forensic risk score and unlimited automations sit behind the Institutional plan, whose price you have to request
- Consensus data comes from S&P Market Intelligence, so any gap in that vendor's coverage carries over
Frequently asked questions
The Hudson Labs Co-Analyst is an AI research platform for institutional investors. It answers questions about public companies by pulling figures from SEC filings, earnings call transcripts, investor decks, and press releases, and it cites the source behind each answer.
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