Halluminate, Inc.
Halluminate provides highly realistic reinforcement-learning environments and sandboxes to train AI agents for complex computer-use workflows, particularly in financial services.
At a Glance
- Foundation Model Labs
- Enterprise AI Startups
- Financial Services Institutions
AI Tools by Halluminate, Inc.
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Halluminate
RL Environments for Finance AI
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Products & Services
Fully managed, parallelizable sandboxes replicating software systems (Salesforce, Slack, etc.) for safe computer-use AI training.
High-quality benchmark datasets with expert annotations for evaluating computer-use agents.
Error-analysis pipelines that identify agent failure modes to prioritize development.
Reinforcement learning environments specifically for training 'computer use' AI agents.
Market Position
Positions itself as a key infrastructure provider for 'computer use' AI, focusing on realistic, safe, and parallelizable training environments rather than just general LLM datasets.
Leadership
Founders
Jerry Wu
Co-Founder & CEO. Former Product and Research Lead at Capital One Labs where he launched one of the first AI agents in financial services. Former Co-Founder of CodeBozu. Holds three patents. Education: Computer Science & Economics, Cornell University; former VP of Cornell Consulting Group.
Wyatt Marshall
Co-Founder & CTO. 2x early-stage startup data/software engineer. Cornell Milstein scholar. Built large-scale data pipelines for early-stage startups in NYC. Background at MediaWallah (Data Engineer) and Silq (Software Engineer).
Executive Team
Jerry Wu
Co-Founder & CEO
Former Capital One Labs Product/Research Lead.
Wyatt Marshall
Co-Founder & CTO
Former Data/Software Engineer at MediaWallah and Silq.
Founding Story
Halluminate was started to address the lack of high-quality data and the dangers of testing AI agents in real-world software environments. The founders built managed, parallelizable sandboxes to enable safe and reproducible training for 'computer use' AI.
Business Model
Revenue Model
Likely subscription or usage-based pricing for managed sandbox environments and evaluation services.
Target Markets
- Foundation Model Labs
- Enterprise AI Startups
- Financial Services Institutions
- Investment Banking workflows
- Private Equity data analysis
- Complex enterprise software automation
- Computer-use agent training
- Two largest browser-agent companies
- Leading computer-use model labs