Financial AI Hackathon Championship - 2025
If you’re a builder who loves solving real-world problems with AI, this is for you. Join the AI Financial Hackathon Championship hosted by LandingAI in partnership with AWS to build and demo intelligent document solutions for finance.
What’s happening
Fast-paced hackathon to turn complex financial documents into actionable insights using ADE + your favorite LLMs and agentic frameworks.
Live finale in New York on November 15 with keynote and awards featuring Andrew Ng and Dan Maloney.
In this hackathon, you’ll build intelligent financial agents capable of understanding and analyzing complex financial data in real-time. You must leverage LandingAI’s cutting-edge Agentic Document Extraction (ADE) API for document parsing and extraction. Participants may use any RAG system, vector database, agentic framework, or LLM of their choice.
For your convenience, LandingAI and AWS is providing free credits along with storage and compute credits.
Pre-build phase before 11/10: Pre-build project phase.
Finalists: In-person event on 11/15. Ten finalist teams will be selected and invited to the in-person finals on November 15 in New York City; the exact venue will be communicated directly to the finalist teams.
This 3-hour event will highlight real-world document processing solutions in the financial services industry.
Prizes (Distributed by Andrew Ng at the venue)
1st Place: $5,000 ($3K cash + $2K ADE credits)
2nd Place: $1,000
Best Online-Only App - surprise prize sent to the team's physical address (US location only)
To participate, review the event details and submit your application by November 10th.
Agenda — November 15 (Saturday, 10:00 AM–1:00 PM ET)
10:00–10:15 — Welcome & Keynote (Andrew Ng)
10:15–11:25 — Presentations + Q&A (10 teams × 7 min)
11:25–11:40 — Judging
11:40–11:50 — Awards & Closing Remarks (Andrew Ng)
11:50–1:00 — Networking with refreshments
What to Build
Create intelligent financial agents that can understand and analyze complex financial data in real-time. Solutions must integrate:
LandingAI Agentic Document Extraction (ADE) — mandatory
Any Agentic Framework
Any LLMs (AWS Bedrock model free credits available)
Additional tools as needed
Refer to Previous Winning Projects to get a deeper sense of what can be built:
🥇 Team 1 – M&A Due Diligence Assistant
Perform semantic search across complex documents in data rooms
GitHub
🥈 Team 2 – Delta Learn
AI-powered EdTech for cross-border compliance training
GitHub
🥉 Team 3 – ClaimsPilot AI
Automate claim intake, triage, and routing with real-time visibility
GitHub
🚫 Anti-Projects — STRICTLY NO
Outside the financial track
AI mental health advisor
Projects giving medical advice
Basic RAG applications
Simple Streamlit only applications
Image analyzers
“AI for education” chatbots
AI job application screeners
AI nutrition coach
Personality analyzers
Any project falling under these categories will be immediately disqualified.
How to Participate
Registration:
Register via this link before Nov 9th, 11:59 PM ET. Participants may start building immediately after registration.Submission:
Submit your project via Google Form before Nov 10th, 11:59 PM ET to be considered for the finals.In-Person Final Event:
Up to 10 teams will be selected for the final round in New York.
All travel, accommodation, and related expenses are the responsibility of participants. The Sponsor and Administrator will not provide reimbursement.
Final Event Details
Date: November 15
Time: 10:00 AM – 1:00 PM ET
Format: In-person showcase of pre-built projects
Venue: New York City (specific location shared with selected teams)
Why Attend
Learn and Build: This is not a code and leave event, you will be invited to our Discord community and will have office hours and mentoring sessions from the teams at LandingAI and AWS.
Build and Demo: Present a working solution and receive feedback from industry judges and platform experts.
Partner Access: Connect with LandingAI and AWS for pilots and collaboration opportunities.
Win and Grow: Compete for prizes, gain visibility, and explore opportunities in the LandingAI builder program.
Judging Criteria
Problem clarity and domain relevance
Depth of ADE integration and technical implementation
Accuracy, reliability, and performance on representative documents
Usability and workflow design for target users
Real-world feasibility and path to pilot within 90 days
Quality and clarity of the 4-minute presentation/demo
Support & Resources
Join the LandingAI Discord #financial-hack-nyc channel for support
Sponsors & Partners
LandingAI (host)
AWS
DeepLearning.AI