The Co-Analyst is built for institutional equity research - providing the precision of a terminal with the adaptability of AI. Get the data you need — fast, precise, and verifiable.
I’m Kris, co-founder of Hudson Labs with @piesauce. After years in finance and AI research, we’re excited to introduce the Co-Analyst — our high-precision AI platform built for institutional investors, hedge funds, and asset managers
Why we built this
We built the Co-Analyst after seeing the limits of traditional terminals like Bloomberg and FactSet. They’re great for standardized data, but analyzing guidance trends, niche operating metrics, supply chain exposure, product-level results etc. still require painfully manual workflows.
Generalist AI tools haven’t solved this. They break down in the workflows that matter most to investors — multi-document and multi-period analysis, guidance extraction, and numeric accuracy — failing to meet the reliability standards of institutional-grade research.
So we built the Co-Analyst:
- 🎯 Terminal-grade precision + AI adaptability - 🗂 Any metric, any source, any format — filings, transcripts, presentations, press releases - 📈 Soft guidance captured — every hedge, every forward-looking statement - 📝 Verbatim call summaries — no spin, no paraphrase - ⚡ 2 hours instead of 2 weeks to get up to speed on a new name
All direct-from-source, with no hallucinations, no prompting gymnastics.
Feedback:
- Any big wins you’ve had using AI in investment research? - Any frustrations? - What do you want from an AI tool for investing?
Hey Product Hunt 👋,
I’m Kris, co-founder of Hudson Labs with @piesauce. After years in finance and AI research, we’re excited to introduce the Co-Analyst — our high-precision AI platform built for institutional investors, hedge funds, and asset managers
Why we built this
We built the Co-Analyst after seeing the limits of traditional terminals like Bloomberg and FactSet. They’re great for standardized data, but analyzing guidance trends, niche operating metrics, supply chain exposure, product-level results etc. still require painfully manual workflows.
Generalist AI tools haven’t solved this. They break down in the workflows that matter most to investors — multi-document and multi-period analysis, guidance extraction, and numeric accuracy — failing to meet the reliability standards of institutional-grade research.
So we built the Co-Analyst:
- 🎯 Terminal-grade precision + AI adaptability
- 🗂 Any metric, any source, any format — filings, transcripts, presentations, press releases
- 📈 Soft guidance captured — every hedge, every forward-looking statement
- 📝 Verbatim call summaries — no spin, no paraphrase
- ⚡ 2 hours instead of 2 weeks to get up to speed on a new name
All direct-from-source, with no hallucinations, no prompting gymnastics.
Feedback:
- Any big wins you’ve had using AI in investment research?
- Any frustrations?
- What do you want from an AI tool for investing?