The Hudson Labs Co-Analyst - AI for equity research

Meet the Co-Analyst - the precision of a terminal with the adaptability of AI

Kris Bennatti

Hudson Labs (formerly Bedrock AI)

2 months ago

https://www.hudson-labs.com/

#saas#fintech#artificial_intelligence

Hey everyone 👋

We’re Kris and Suhas – co-founders of Hudson Labs.

TL;DR

The Hudson Labs Co-Analyst is high-precision AI built for institutional investors. We achieve state-of-the-art results in financial workflows, outperforming big labs.

Ask: Can you introduce us to hedge funds, asset managers or family offices with a U.S. public equities focus? We’ll say thanks with you a free 2 month subscription. No quants please.

https://www.youtube.com/watch?v=dpIkzPxCWk4

❌ The Problem

Generalist artificial Intelligence fails most dramatically in finance-specific use cases:

Multi-document analysis
Guidance identification
Numeric accuracy and precision

As a result, AI solutions have failed to deliver the consistency, reliability and usability required by institutional investors.

Traditional financial service software providers, like Bloomberg or FactSet, provide coverage of standardized data e.g. net income. But less structured information e.g. soft guidance or product-level results, can often only be found manually. As a result, many of the most sophisticated investors in the world, have painfully manual workflows.

AI solves this problem but only when it meets the industry’s standards of consistency, reliability and relevance.

👷 Our Solution

The precision of a terminal with the adaptability of AI

Any metric. Any format.
Only the facts. Direct-from-source. Every time.
No prompting gymnastics. Just ask and get results.

Get up to speed in 2 hours instead of 2 weeks

Management commentary linked directly to the numbers. Track trends side-by-side with management quotes on drivers, exceptions and hedges.
Soft guidance captured — every word, every hedge. No missed forward-looking statements, no guesswork.
All documents, one clear answer. Filings, releases, decks, transcripts — synthesized so you don’t miss a line.
Verbatim summaries — no spin, no paraphrase. The most important management statements, word-for-word.

Where generalist models fail, the Co-Analyst gets it right — fast, precise, and source-verified.

Read about how we compare to Perplexity Pro here and to OpenAI wrappers here.

Try it out yourself at https://www.hudson-labs.com/#book-a-demo

👬 The Team

We are a small, highly technical team and we’ve been working on finance-specific LLMs and AI systems since 2019. Our team launched the first ever financial services app entirely powered by LLMs in 2021 (Bedrock AI).

Suhas: Author of the popular textbook, Designing Large Language Model Applications published by O'Reilly Media. He has been the chair of the Toronto Machine Learning Summit for the last five years and has been invited to speak at 22 AI conferences this year!

He was one of the co-chairs at Big Science for the BLOOM LLM, which was the world’s largest open-source multilingual LLM at the time of release and has made contributions to various other LLMs and their training datasets.

Kris: Former CPA turned data scientist. 10+ years in capital markets. Previously roles include corporate governance data science at Hansell McLaughlin, Python instruction at AI Deep Dive and assurance at KPMG.

🙏 Our Ask

Ask: Can you introduce us to:

hedge funds, asset managers or family offices with a U.S. public equities team (long-only, l/s, short-only)
corporate intelligence or strategy teams (focused on public companies)
public directors & officers (D&O) insurance teams in the U.S.

Make an intro to a relevant team, and we’ll thank you with a free 2-month subscription.