Compete Against Elite Engineers Across LATAM.
Build an AI-first customer service system for a real-world banking environment.
Design a solution that can understand complex customer interactions, work securely with data and tools, automate workflows, and involve human agents when needed.
Think beyond the demo. Design for production, considering privacy, explainability, fairness, reliability, and scalability while making explicit trade-offs across autonomy, accuracy, latency, cost, and human oversight.
Teams should justify where AI is appropriate, where deterministic logic is preferable, and how the system is evaluated for quality and safety.
Think beyond the demo. Design for production, considering privacy, explainability, fairness, reliability, and scalability while making explicit trade-offs across autonomy, accuracy, latency, cost, and human oversight.
Teams should justify where AI is appropriate, where deterministic logic is preferable, and how the system is evaluated for quality and safety.
- Real Interactions & Data: Leverage data from enterprises like Fortune 500 to build your solution.
- Cutting-Edge Solutions: Solve an issue Fortune 500 enterprises face every day
- Innovative AI: Create a first-of-its-kind use of AI
Catch More. Flag Less
Solve customer service bottlenecks without burying legitimate transactions under false positives.
Make Every Decision Defensible.
Build explainability, privacy, and fairness into how your system makes decisions.
Build For Failure.
Design for reliability when data, systems, and real-world conditions get messy.
Prove It Can Scale
Build a reproducible system with the architecture and performance to move beyond the demo.
You Should Participate If You Are A...
AI / ML Engineer
You build ML, GenAI, agentic, LLMs, or production AI systems.
Software / Platform Engineer
You build the backend, MLOps, infrastructure, and production systems that make AI work at scale.
Data Scientist
You develop models, analyze complex data, and turn signals into measurable decisions.
Data Engineer
You build pipelines, streaming systems, data platforms, or large-scale data infrastructure.
Data Analyst
Design business intelligence solutions that connect technical decisions to real problems and measurable business impact.
$10,000 USD In Prizes
$6,000 USD
1st Place
$3,000 USD
2nd Place
$1,000 US
3rd Place
Register Now
Register
Teams up to 4. Build your team your way.
Have a team? Register each member.
Need a team? We’ll match you.
Engineering Judgment and Production Readiness
- Architecture - quality of the overall system design.
- Reliability - how robustly the solution performs under real conditions.
- Reproducibility - whether the approach and results can be consistently reproduced.
- Data Quality - how effectively data is processed, validated, and used.
- Business Reasoning - how well technical decisions connect to the fraud problem and business impact.
- Privacy & Fairness - how well technical decisions connect to the fraud problem and business impact.
- Production Thinking - how realistically the solution could operate beyond a demo.
Our Expert Group
Paul Leon
Data Engineer
Antonio Dumar
Analytics Engineer
Andre Rodríguez
Senior Data Analyst
Diego Ralón
Machine Learning Engineer
Pedro Urrego
Machine Learning Engineer
Luís Bertozzo
Associate Manager MLE
Timeline
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Testimonials From Engineers
The Factored Hackathon gave me the opportunity to solve a complex and fun problem, showcase my skills, and have them recognized by Factored, ultimately leading me to work alongside some of the best data and AI talent in Latin America.
FAQs
What Is The Factored AI & Data Hackathon?
What’s The Challenge?
Who Should Participate?
Do I Need A Team?
What If I Already Have A Team?
What technical skills or experience do I need to participate?
How Will My Work Be Evaluated?
How Long Do I Have To Build?
What Are The Prizes?
When Does Registration Open?
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$10,000 USD In Prizes
Compete against elite engineers across LATAM
Build a customer service solutions under real-world constraints.
Register
