The top AI tools for investment research
An almost comprehensive list curated Hudson Labs
Generative AI and large language models have broken into the mainstream, with ChatGPT, Claude, and Perplexity gaining popularity. LLM-driven tools are transformational. They have revolutionized consumer products and are now coming for the investment research industry.
AI is a powerful and effective tool for equity research. In finance, AI solutions need to perform with a high degree of accuracy on complex topics, making specialized solutions imperative.
We made this list to help our friends, partners and users cut through the noise and find the solution that works best for them. Book a demo to see how we can elevate your workflow with finance-specific AI models.
ICYMI – We recently launched the Hudson Labs Co-Analyst. Extract consistent, factual information from earnings calls in a structured format in seconds. Unlike many financial chatbots, the Co-Analyst delivers reliable output without hallucination.
Finance-specific tools using generative AI
We highlight five great AI tools for investing, with notes on their strengths and limitations.
Hudson Labs: A web-based investment research platform including AI-driven fundamental research, systematic forensic analysis, and the Hudson Labs Co-Analyst. Hudson Labs was one of the first teams in the world to build finance-specific AI models (LLMs).
Pros: Experience industry-leading accuracy and reliability for specialized investing workflows. The Hudson Labs Co-Analyst provides complete, accurate results, hallucination free. Learn more here.
Cons: The Co-Analyst is available for use on earnings call transcript in the current version.
FinChat.io: A chatbot designed to pull financial information and comprehensive metrics. It pulls data from S&P Market Intelligence (we do too) and has fairly complete answers in this domain compared to other tools. Another Toronto fintech!
Pros: The team is iterating quickly and has already built the 4th version of its product. They also offer a free plan with 10 prompts available per month.
Cons: Transcripts could take 2 days to update.
fintool: An “equity research co-pilot” that provides company-specific insights based on filings and earnings transcripts.
Pros: Provides custom alerts based on AI searches and easy export to excel.
Cons: Suffers from occasional errors.
hebbia.ai: An AI platform built for “Any data/any task” beyond finance, including legal, lending, real estate, and corporate admin
Pros: Can integrate with user data. Its live use cases include activist trends, fees, due diligence, RFP, and deal memos.
Cons: Not specialized for investment research. Designed for enterprise users so sign-up and integration might be burdensome for smaller teams (plus a higher price tag).
rogo.ai: Purpose-built financial AI that connects to user data. Offers search, Q&A, and workflow automation.
Pros: Ability to integrate user documents like pitch decks and meeting notes with its own library. Has use cases for investment banking and private equity.
Cons: Designed primarily for enterprise users and private equity firms, not public investors.
Looking for more? View the complete list of 38 AI tools for investing on our blog.
Looking to track and summarize earnings calls? Check out our previous blog post on earnings call summary providers.
Know a great tool that’s not on our list? Let us know by tagging us on Twitter or LinkedIn.