Join Date
November 2025
Gender
Not Specified
Age
Not Specified
About Jerry Wu
Jerry Wu is co-founder and CEO of Halluminate.
Previously, he led product and research at Capital One Labs, launching one of the first AI agents in financial services and co-authoring three patents. Jerry studied Computer Science and Economics at Cornell, where he researched model quantization methods and served as VP of the Cornell Consulting Group. He was also class speaker at Acton-Boxborough High School.
Previously, he led product and research at Capital One Labs, launching one of the first AI agents in financial services and co-authoring three patents. Jerry studied Computer Science and Economics at Cornell, where he researched model quantization methods and served as VP of the Cornell Consulting Group. He was also class speaker at Acton-Boxborough High School.
Companies & Work
Halluminate
We help foundation model labs and enterprises train computer use AI with data and sandboxes.
A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value.
Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources:
1) High quality datasets for benchmarking and evaluations
2) Realistic sandbox environments for safe and accurate testing/training (ex. a simulated version of Salesforce)
Halluminate offers a suite of products and services to address both these issues.
Our evaluation service combines proprietary datasets with high quality annotations to help our customers identify and prioritize the biggest failure modes of their computer- and browser- use AI.
Our platform provides a catalog of fully managed sandboxes, empowering our customers to safely and accurately test/train at scale, resulting in improved performance.
Our customers see
- Improved browser- and computer-use agent performance
- New and emergent frontier agent capabilities
- Data driven prioritization leading to exponentially faster development speed
- Increased revenue/sales via marketing from public benchmarks
Our paying customers already include leading computer use model labs and the two largest browser agent companies in the space.
Wyatt and Jerry are friends that met their first week of school studying CS at Cornell University. They’ve been working and studying together for 7+ years.
A knowledge worker spends 90% of their day on a computer. A productive AI agent must similarly learn how to use our computers, browsers, and software to deliver real world value.
Today, browser and computer use AI is inaccurate, slow, and expensive. Model labs and enterprises who want to improve these agents are bottlenecked by two resources:
1) High quality datasets for benchmarking and evaluations
2) Realistic sandbox environments for safe and accurate testing/training (ex. a simulated version of Salesforce)
Halluminate offers a suite of products and services to address both these issues.
Our evaluation service combines proprietary datasets with high quality annotations to help our customers identify and prioritize the biggest failure modes of their computer- and browser- use AI.
Our platform provides a catalog of fully managed sandboxes, empowering our customers to safely and accurately test/train at scale, resulting in improved performance.
Our customers see
- Improved browser- and computer-use agent performance
- New and emergent frontier agent capabilities
- Data driven prioritization leading to exponentially faster development speed
- Increased revenue/sales via marketing from public benchmarks
Our paying customers already include leading computer use model labs and the two largest browser agent companies in the space.
Wyatt and Jerry are friends that met their first week of school studying CS at Cornell University. They’ve been working and studying together for 7+ years.
