Hudson Labs Market Intelligence Product Launch
Hiqh-quality, factual AI-driven equity research.
Track high-impact qualitative data points with the help of finance-specific AI on our new Hudson Labs market intelligence platform.
Move Faster. Invest Better. Book a demo of the new Hudson Labs Market Intelligence today.
AI-driven risk assessment and due diligence:
NEW: Management integrity checks
Screen for biographies referencing companies that were subject to a short report or references to bankruptcy.
Red flag summaries with the key details but not the noise
The ONLY source of complete, real-time bankruptcy warning coverage
Save >4 hours a week on company-specific research
Factual AI-generated company background memos
Earnings call summaries
Unique customer concentration and related party screening
Explore the only real-time, complete database of customer concentration disclosure across all 10-Ks. Plus a unique assessment of related party risk using specialized AI.
Coming soon: Agents v0.1
Generate ideas based on abstract themes
Get FACTUAL answers using finance-specific AI models
Move Faster. Invest Better. Book a demo of the new Hudson Labs Market Intelligence today.
Agentic AI in Finance Webinar - Near term reality or sci-fi?
Suhas Pai, is the author of Designing LLM Applications, published by O’Reilly and four-time chair of the Toronto Machine Learning Summit, as well as the co-founder of Hudson Labs. Fewer than 1,000 people in North America can build a competitive LLM from scratch. Come learn from the best, right here at Hudson Labs.
There are a lot of claims about AI floating out there. We’ll address common questions, big and small, like:
What are the limits of using better prompts to improve AI outcomes?
When is/isn’t a generalist model sufficient?
Where can we start integrating agentic AI into capital markets workflows?
Whether you’re investing in companies using AI or evaluating suppliers pitching AI products this accessible technical session is for you.
What: AI Agents for Finance
Who: Friends of Hudson Labs
Where: Register here
When: 4pm EST/1pm PST on June 25th